Création des Logiciels de gestion d'Entreprise, Création et référencement des sites web, Réseaux et Maintenance, Conception
seo 2008 Year in Review 2013
Seo Master present to you:
Before looking back on this past year, we'd like to thank the developer community for your involvement and enthusiasm in 2008. Without you none of our accomplishments would've been possible and coming to work would not have been nearly as rewarding or exciting.
In 2008 the developer team at Google made it significantly easier for developers to build increasingly sophisticated web apps. Looking back, some of the most notable events from the last year include the App Engine launch, GWT 1.5 launch, Chrome launch, AJAX Language API launch, AJAX Libraries API launch and the broad adoption of OpenSocial.
We also worked hard to make it simple to integrate and extend Google applications through the launch of the You Tube API, Visualization API, Maps for Flash API, Finance API and Custom Search API.
We were also really happy to participate in the Open Handset Alliance where we saw the announcement of the Android Developer Challenge winners, the Android 1.0 SDK launch, and the first app downloads in the Android Market.
Our favorite part of 2008, however, was interacting with you at Google I/O and at Developer Days. These events allowed us to meet inspirational developers in 15 countries around the world who are building fantastic applications.
In 2009, we look forward to building products to make the web better and that let you, the developer community, build better apps on the web. We are already excited about seeing you at events next year.
Happy Holidays from the Google Developer Team.
2013, By: Seo Master
Before looking back on this past year, we'd like to thank the developer community for your involvement and enthusiasm in 2008. Without you none of our accomplishments would've been possible and coming to work would not have been nearly as rewarding or exciting.
In 2008 the developer team at Google made it significantly easier for developers to build increasingly sophisticated web apps. Looking back, some of the most notable events from the last year include the App Engine launch, GWT 1.5 launch, Chrome launch, AJAX Language API launch, AJAX Libraries API launch and the broad adoption of OpenSocial.
We also worked hard to make it simple to integrate and extend Google applications through the launch of the You Tube API, Visualization API, Maps for Flash API, Finance API and Custom Search API.
We were also really happy to participate in the Open Handset Alliance where we saw the announcement of the Android Developer Challenge winners, the Android 1.0 SDK launch, and the first app downloads in the Android Market.
Our favorite part of 2008, however, was interacting with you at Google I/O and at Developer Days. These events allowed us to meet inspirational developers in 15 countries around the world who are building fantastic applications.
In 2009, we look forward to building products to make the web better and that let you, the developer community, build better apps on the web. We are already excited about seeing you at events next year.
Happy Holidays from the Google Developer Team.
2013, By: Seo Master
seo Fridaygram: goodbye to 2011 2013
Seo Master present to you: 
By Scott Knaster, Google Code Blog Editor
This is the last Fridaygram of 2011, and like most everybody else, we’re in a reflective mood. It’s also the 208th post on Google Code Blog this year, which means we’ve averaged more than one post every two days, so that’s plenty of stuff for you to read. What did we write about?
At Google, we love to launch. Many of our posts were about new APIs and client libraries. We also posted a bunch of times about HTML5 and Chrome and about making the web faster. And we posted about Android, Google+, and Google Apps developer news.
Many of our 2011 posts were about the steady progress of App Engine, Cloud Storage, and other cloud topics for developers. We also published several times about commerce and in-app payments.
2011 was a stellar year for Google I/O and other developer events around the world. Some of our most popular posts provided announcements, details, and recaps of these events. And we welcomed a couple dozen guest posts during Google I/O from developers with cool stories to tell.
The two most popular Code Blog posts of the year were both launches: the Dart preview in October, and the Swiffy launch in June.
Last, and surely least, I posted 26 Fridaygrams in an attempt to amuse and enlighten you. Thank you for reading those, and thanks for dropping by and reading all the posts we’ve thrown your way this year. See you in 2012!
And finally, please enjoy one more Easter egg.
2013, By: Seo Master
By Scott Knaster, Google Code Blog Editor
This is the last Fridaygram of 2011, and like most everybody else, we’re in a reflective mood. It’s also the 208th post on Google Code Blog this year, which means we’ve averaged more than one post every two days, so that’s plenty of stuff for you to read. What did we write about?
At Google, we love to launch. Many of our posts were about new APIs and client libraries. We also posted a bunch of times about HTML5 and Chrome and about making the web faster. And we posted about Android, Google+, and Google Apps developer news.
Many of our 2011 posts were about the steady progress of App Engine, Cloud Storage, and other cloud topics for developers. We also published several times about commerce and in-app payments.
2011 was a stellar year for Google I/O and other developer events around the world. Some of our most popular posts provided announcements, details, and recaps of these events. And we welcomed a couple dozen guest posts during Google I/O from developers with cool stories to tell.
The two most popular Code Blog posts of the year were both launches: the Dart preview in October, and the Swiffy launch in June.
Last, and surely least, I posted 26 Fridaygrams in an attempt to amuse and enlighten you. Thank you for reading those, and thanks for dropping by and reading all the posts we’ve thrown your way this year. See you in 2012!
And finally, please enjoy one more Easter egg.
2013, By: Seo Master
seo Google Prediction API: faster, easier to use, and more accurate 2013
Seo Master present to you: 
By Marc Cohen, Developer Relations
This holiday season, the Google Prediction API Team is bringing you four presents and, thanks to the joys of cloud computing, no reindeer are required for delivery. Here’s what you’ve already received:
Happy Holidays from the Google Prediction API Team. We’re looking forward to bringing you more exciting features in 2012!
Marc Cohen is a member of Google’s Developer Relations Team in Seattle. When not teaching Python programming and listening to indie rock music, he enjoys using the Google Prediction API to peer into the future.
Posted by Scott Knaster, Editor
2013, By: Seo Master
By Marc Cohen, Developer Relations
This holiday season, the Google Prediction API Team is bringing you four presents and, thanks to the joys of cloud computing, no reindeer are required for delivery. Here’s what you’ve already received:
- Faster on-ramp: We’ve made it easier to get started by enabling you to create an empty model (by sending a
trainedmodels.insertrequest with nostorageDataLocationspecified) and add training data using thetrainedmodels.updatemethod. This change allows you to submit your model contents without needing to stage the data in Google Cloud Storage. - Improved updates: The algorithms used to implement model updates (adding additional data to existing models) have been modified to work faster than ever.
- More classification algorithms: We’ve increased the number of classification algorithms used to build predictive models, resulting in across-the-board improvements in accuracy.
- Integration with Google Apps Script: Prediction services are now available as part of Google Apps Script, which means you can integrate prediction services with Google Docs, Google Maps, Gmail, and other great Google products.
Happy Holidays from the Google Prediction API Team. We’re looking forward to bringing you more exciting features in 2012!
Marc Cohen is a member of Google’s Developer Relations Team in Seattle. When not teaching Python programming and listening to indie rock music, he enjoys using the Google Prediction API to peer into the future.
Posted by Scott Knaster, Editor
2013, By: Seo Master
seo A look back on 2009 2013
Seo Master present to you: 2009 was a remarkable year for developers. Vic Gundotra, VP of our developer team declared at Google I/O, "The web has won!" and this year was full of launches and announcements that remind us how the web has become the platform of our day. We found lots of inspiration from the developers at Google I/O in San Francisco and at our Google Developer Days in Japan, China, Brazil, Russia and the Czech Republic.
Here's a look back at some of our favorite highlights from 2009:
Happy Holidays from the Google Developer Team!
2013, By: Seo Master
Here's a look back at some of our favorite highlights from 2009:
- Faster Apps Faster - the theme for the recent Campfire One event letting developers know how GWT 2.0 decreases development time (it's being used by Google Wave & Adwords for this reason) and how Speed Tracer gives you new insight into speeding up your apps
- Make the Web faster - as part of an effort to Make the web faster we launched tools like Page-Speed and our DNS resolution service. We also made our internal JavaScript tools available, called Closure Tools, so you can rev up your js like the guys on Gmail. With PubSubHubbub all your feeds can be real-time streams.
- A faster browser - A few weeks ago we launched Google Chrome for Mac and Linux, along with an extension framework for Chrome and a gallery for developers to distribute their extensions -- there are over 900 to check out already! Chrome has a set of developer tools built on WebKit to help optimize your code. Plus, we released details of Chrome OS...a netbook operating system for speed freaks. Along the way, we've worked with the larger web community contributing to the exciting future of the web with HTML5.
- Mobile - Android launched on one device in one country on one carrier in 2008. This year, 20 devices in 26 countries on 32 carriers have been launched or announced. Developers have created over 16,000 apps in the Android Marketplace. Some were winners of our second Android Developer Challenge. We launched new mobile versions of gmail and calendar using HTML5. You can take a picture to search using Google Goggles and get turn-by-turn navigation with Google maps. Plus, we recently announced our mobile lab for Android hardware.
- Hosting - App Engine apps were allowed to scale beyond free quotas and Java developers were invited to try it out at Campfire 1 in April. Developers responded, with over 100K apps built on App Engine. Open source developers using Project Hosting were able to host projects on Mercurial, in addition to Subversion.
- New APIs - Google Wave was released early to developers at Google I/O in May. Wave is "equal parts conversation and document" and showcases what is possible in the browser. Developers can build robot extensions to automate common tasks or build gadget extensions to provide a new way for users to interact. Google Maps released v3, Friend Connect got more personalized and then got cozy w/ Twitter, Google Analytics released an API and then added asynchronous tracking.
- Google Web Elements - From maps to search to translate and more, Google Web Elements made it even easier than ever to add Google products to your site.
- Labs - Google Code Labs was created to let developers know which APIs and products are cutting edge labs "experiments" and which we are committed to supporting for the long term.
Happy Holidays from the Google Developer Team!
2013, By: Seo Master
seo App Engine's System Status Dashboard 2013
Seo Master present to you:
We recently announced a System Status Dashboard for Google App Engine. As developers depend on App Engine for important applications, we wanted to provide more visibility into App Engine's availability and performance.
Application development today is pretty different than it was just a few years ago. Most web apps now make use of hosted third-party services for features like search, maps, video, or translation (e.g., our AJAX APIs). These services mean developers don't have to invest in massive computing resources to build these features themselves, and can instead focus on what is exciting and new about their apps.
Building in dependencies to third-party services or moving to a new hosting infrastructure is not something developers take lightly. This new App Engine dashboard provides some of the same monitoring data that we use internally, so you can make informed decisions about your hosting infrastructure.
Learn more (about this and other recent announcements) in the App Engine blog and please let us know what you think.2013, By: Seo Master
We recently announced a System Status Dashboard for Google App Engine. As developers depend on App Engine for important applications, we wanted to provide more visibility into App Engine's availability and performance.
Application development today is pretty different than it was just a few years ago. Most web apps now make use of hosted third-party services for features like search, maps, video, or translation (e.g., our AJAX APIs). These services mean developers don't have to invest in massive computing resources to build these features themselves, and can instead focus on what is exciting and new about their apps.
Building in dependencies to third-party services or moving to a new hosting infrastructure is not something developers take lightly. This new App Engine dashboard provides some of the same monitoring data that we use internally, so you can make informed decisions about your hosting infrastructure.
Learn more (about this and other recent announcements) in the App Engine blog and please let us know what you think.2013, By: Seo Master
seo Introducing Au-to-do, a sample application built on Google APIs 2013
Seo Master present to you: 
By Dan Holevoet, Developer Relations Team
A platform is more than the sum of its component parts. You can read about it or hear about it, but to really learn what makes up a platform you have to try it out for yourself, play with the parts, and discover what you can build.
With that in mind, we started a project called Au-to-do: a full sample application implementing a ticket tracker, built using Google APIs, that developers can download and dissect.
Au-to-do currently uses the following APIs and technologies:
By the way, if you’re wondering how to pronounce Au-to-do, you can say "auto-do" or "ought-to-do" — either is correct.
Ready to take a look at the code? Check out the getting started guide. Found a bug? Have a great idea for a feature or API integration? Let us know by filing a request.
Happy hacking!
Dan Holevoet joined the Google Developer Relations team in 2007. When not playing Starcraft, he works on Google Apps, with a focus on the Calendar and Contacts APIs. He's previously worked on iGoogle, OpenSocial, Gmail contextual gadgets, and the Google Apps Marketplace.
Posted by Scott Knaster, Editor
2013, By: Seo Master
By Dan Holevoet, Developer Relations Team
A platform is more than the sum of its component parts. You can read about it or hear about it, but to really learn what makes up a platform you have to try it out for yourself, play with the parts, and discover what you can build.
With that in mind, we started a project called Au-to-do: a full sample application implementing a ticket tracker, built using Google APIs, that developers can download and dissect.
Au-to-do currently uses the following APIs and technologies:
- Google App Engine (with the Python runtime, Datastore API, and Task Queues API)
- Google Cloud Storage
- Google Prediction API
- Google Tasks API
- OAuth 2.0
By the way, if you’re wondering how to pronounce Au-to-do, you can say "auto-do" or "ought-to-do" — either is correct.
Ready to take a look at the code? Check out the getting started guide. Found a bug? Have a great idea for a feature or API integration? Let us know by filing a request.
Happy hacking!
Dan Holevoet joined the Google Developer Relations team in 2007. When not playing Starcraft, he works on Google Apps, with a focus on the Calendar and Contacts APIs. He's previously worked on iGoogle, OpenSocial, Gmail contextual gadgets, and the Google Apps Marketplace.
Posted by Scott Knaster, Editor
2013, By: Seo Master
seo Simplifying Access Control in Google Cloud Storage 2013
Seo Master present to you: 
By Navneet Joneja, Product Manager
Google Cloud Storage is a robust, high-performance service that enables developers and businesses to use Google’s infrastructure to power their data. Today, we’re announcing a new feature that makes it even easier to control and share your data.
Per-Bucket Default Object ACLs
Customers building a wide variety of applications have asked us for an easier mechanism to control the permissions granted on newly created objects. Now you can define your access control policy for a bucket once by specifying a Default Object ACL for any bucket, and we’ll automatically apply that ACL to any object without an explicitly defined ACL. You can always override the default by providing a canned ACL when you upload the object or by updating the object’s ACL afterwards. This mechanism simplifies wide variety of use cases, including data sharing, controlled-access data sets and corporate drop-boxes.
New buckets without Default ACLs
After analyzing how customers use our service, we’ve also decided to make a few small changes to the behavior of buckets that have no explicit default object ACL. Effective today, new buckets are created with an implied project-private default object ACL. In other words, project editors and owners will have FULL_CONTROL access to new objects, and project viewers will have READ access to them. This change better aligns the default behavior with how our customers use storage. You can change a bucket’s default object ACL at any time after creating the bucket.
Existing buckets have an effective default object ACL of "private", and they will continue to work as they always have until and unless you specify a new default object ACL for them.
Navneet Joneja loves being at the forefront of the next generation of simple and reliable software infrastructure, the foundation on which next-generation technology is being built. When not working, he can usually be found dreaming up new ways to entertain his intensely curious one-year-old.
Posted by Scott Knaster, Editor
2013, By: Seo Master
By Navneet Joneja, Product Manager
Google Cloud Storage is a robust, high-performance service that enables developers and businesses to use Google’s infrastructure to power their data. Today, we’re announcing a new feature that makes it even easier to control and share your data.
Per-Bucket Default Object ACLs
Customers building a wide variety of applications have asked us for an easier mechanism to control the permissions granted on newly created objects. Now you can define your access control policy for a bucket once by specifying a Default Object ACL for any bucket, and we’ll automatically apply that ACL to any object without an explicitly defined ACL. You can always override the default by providing a canned ACL when you upload the object or by updating the object’s ACL afterwards. This mechanism simplifies wide variety of use cases, including data sharing, controlled-access data sets and corporate drop-boxes.
New buckets without Default ACLs
After analyzing how customers use our service, we’ve also decided to make a few small changes to the behavior of buckets that have no explicit default object ACL. Effective today, new buckets are created with an implied project-private default object ACL. In other words, project editors and owners will have FULL_CONTROL access to new objects, and project viewers will have READ access to them. This change better aligns the default behavior with how our customers use storage. You can change a bucket’s default object ACL at any time after creating the bucket.
Existing buckets have an effective default object ACL of "private", and they will continue to work as they always have until and unless you specify a new default object ACL for them.
Navneet Joneja loves being at the forefront of the next generation of simple and reliable software infrastructure, the foundation on which next-generation technology is being built. When not working, he can usually be found dreaming up new ways to entertain his intensely curious one-year-old.
Posted by Scott Knaster, Editor
2013, By: Seo Master
seo The latest addition to Google's open source projects 2013
Seo Master present to you: 
Did you know Google has released more than 300 open source projects to date? Yesterday, we announced the latest addition to Google's open source projects - YouTube Direct, a new tool that enables any developer to solicit video submissions, moderate and display them on their website, all powered by YouTube. We recognize the role that open source plays at Google and how it helps us create better applications and we try to give back to the community as much as possible.
YouTube Direct was built on top of YouTube's public APIs and is designed to run on Google App Engine - Google's highly scalable platform. To date, several media organizations like ABC News, The Huffington Post and Politico have taken advantage of the open platform to deploy their own version of YouTube Direct to empower citizen journalism and enrich their site in the process. We look forward to see for more creative usage of the tool.
2013, By: Seo Master
Did you know Google has released more than 300 open source projects to date? Yesterday, we announced the latest addition to Google's open source projects - YouTube Direct, a new tool that enables any developer to solicit video submissions, moderate and display them on their website, all powered by YouTube. We recognize the role that open source plays at Google and how it helps us create better applications and we try to give back to the community as much as possible.YouTube Direct was built on top of YouTube's public APIs and is designed to run on Google App Engine - Google's highly scalable platform. To date, several media organizations like ABC News, The Huffington Post and Politico have taken advantage of the open platform to deploy their own version of YouTube Direct to empower citizen journalism and enrich their site in the process. We look forward to see for more creative usage of the tool.
2013, By: Seo Master
seo Check out Google’s latest cloud technologies at Cloudstock! 2013
Seo Master present to you:
There’s an exciting new event happening December 6th dubbed the “Woodstock for Cloud Developers.” We’ll be participating at Cloudstock, an industry event taking place in San Francisco’s Moscone West, that brings together a growing developer community and some of the leading cloud technology companies (such as Google, vmware, Salesforce.com and Amazon) to learn, hack and network.
Google is a strong believer in the open technologies powering the web, such as HTML5. Cloud computing is about powering innovations on the web with platforms and services that make developers like you more efficient and allow you to concentrate on solving business problems. No longer do you have to worry about the hassle of acquiring and managing servers, disks, RAM and CPU-- it’s all accessible in the cloud.
Google will be presenting the following sessions at Cloudstock:
- Introduction to Google’s Cloud Platform Technologies (Christian Schalk)
This talk will provide an in depth review of Google's Cloud Platform Technologies by first reviewing both Google App Engine and App Engine for Business followed by an introduction to Google's new cloud technologies: Google Storage, Google Prediction API and BigQuery. Throughout the presentation, in depth technical demonstrations will be given showing how to use these technologies together in an integrated manner. - Selling your Cloud App on the Google Apps Marketplace (Ryan Boyd)
This demo-focused session will review how to integrate your app with Google Apps and sell it on the Google Apps Marketplace to reach 30 million users at 3 million businesses. It will dive into the SaaSy Voice demo application, showing how technologies like OpenID-enabled Single Sign-On, OAuth and AtomPub make it easy to create great user experiences for your customers.
We have another session which will be announced shortly-- stay tuned to this blog and the GoogleCode twitter account!
Register for the free Cloudstock event at:
http://www.cloudstockevent.com/
Moscone West
San Francisco, CA
Monday, December 6th, 2010
Looking forward to meeting you there!
2013, By: Seo Masterseo Get started at no cost with a faster, larger Cloud SQL database 2013
Seo Master present to you: 
By Joe Faith, Product ManagerCross-posted with the Official Google Enterprise Blog
You want your applications to be fast, even with millions of users. Anytime your user tries to retrieve information from the app or update settings, it should happen instantly. For the best performance, you need faster, larger databases - especially if you have a growing user base to serve.
Google App Engine is designed to scale. And now Google Cloud SQL—a MySQL database that lives in Google’s cloud—has new features to meet the demand for faster access to more data. With today’s updates, you can now work with bigger, faster MySQL databases in the cloud:
Introducing a new trial offer
Many of you have requested a trial offer to test out Cloud SQL. Today, we’re introducing a 6- month trial offer at no charge, effective until June 1, 2013. This will include one Cloud SQL instance with 0.5 GB of storage. Sign up now and get started on Cloud SQL at no cost.
Joe Faith is a Product Manager on the Google Cloud Team. In a previous life he was a researcher in machine learning, bioinformatics, and information visualization, and was founder of charity fundraising site Fundraising Skills.
Posted by Scott Knaster, Editor
2013, By: Seo Master
By Joe Faith, Product ManagerCross-posted with the Official Google Enterprise Blog You want your applications to be fast, even with millions of users. Anytime your user tries to retrieve information from the app or update settings, it should happen instantly. For the best performance, you need faster, larger databases - especially if you have a growing user base to serve.
Google App Engine is designed to scale. And now Google Cloud SQL—a MySQL database that lives in Google’s cloud—has new features to meet the demand for faster access to more data. With today’s updates, you can now work with bigger, faster MySQL databases in the cloud:
- More Storage: We’re increasing the available storage on Cloud SQL to 100GB – ten times more than what used to be available.
- Faster Reads: We’re increasing the maximum size of instances to 16GB RAM, a 4 times increase in the amount of data you can cache.
- Faster Writes: We’re adding functionality for optional asynchronous replication, which gives the write performance of a non-replicated database, but the availability of a replicated one.
- EU datacenter availability: Now you can choose to store your data and run your Cloud SQL database instance in either our US or EU data centers.
- Integration with Google Apps Script: We’re making it quick and easy for businesses using Google Apps to use Cloud SQL. Publish and share data with Google Sheets, add data to Google Sites pages or create simple Google Forms without worrying about hosting or configuring servers.
Introducing a new trial offer
Many of you have requested a trial offer to test out Cloud SQL. Today, we’re introducing a 6- month trial offer at no charge, effective until June 1, 2013. This will include one Cloud SQL instance with 0.5 GB of storage. Sign up now and get started on Cloud SQL at no cost.
Joe Faith is a Product Manager on the Google Cloud Team. In a previous life he was a researcher in machine learning, bioinformatics, and information visualization, and was founder of charity fundraising site Fundraising Skills.
Posted by Scott Knaster, Editor
2013, By: Seo Master
seo App Engine 1.6.0 out of Preview release 2013
Seo Master present to you: 
By By Greg D'Alesandre, App Engine team
Three and a half years after App Engine's first Campfire One, App Engine has graduated from Preview and is now a fully supported Google product. We started out with the simple philosophy that App Engine should be "easy to use, easy to scale, and free to get started". And with 100 billion+ monthly hits, 300,000+ active apps, and 100,000+ developers using our product every month, it's clear that this philosophy resonates. Thanks to your support, Google is making a long term investment in App Engine.
When we announced our plans to leave Preview earlier this year, we made a commitment to improving the service by adding support for Python 2.7, Premier Accounts, and Backends as well as several changes launching today:
You can read the full details of our release on the App Engine blog. We'd like to thank you for investing in our platform for the last three years. We look forward to what the future will bring.
Greg D'Alesandre is now the Senior Product Manager for App Engine after coming back from riding the Google Wave in Sydney. And he's obsessed with chocolate, no, seriously, obsessed.
Posted by Scott Knaster, Editor
2013, By: Seo Master
By By Greg D'Alesandre, App Engine team
Three and a half years after App Engine's first Campfire One, App Engine has graduated from Preview and is now a fully supported Google product. We started out with the simple philosophy that App Engine should be "easy to use, easy to scale, and free to get started". And with 100 billion+ monthly hits, 300,000+ active apps, and 100,000+ developers using our product every month, it's clear that this philosophy resonates. Thanks to your support, Google is making a long term investment in App Engine.
When we announced our plans to leave Preview earlier this year, we made a commitment to improving the service by adding support for Python 2.7, Premier Accounts, and Backends as well as several changes launching today:
- Pricing: The new pricing structure announced in May (and updated based on feedback from the community) will now be reflected in your bill starting Nov 7.
- Terms of Service: We have a new terms of service, including a 3 year deprecation policy, effective today.
- Service Level Agreement: All paid applications on the High Replication Datastore are covered by our SLA.
You can read the full details of our release on the App Engine blog. We'd like to thank you for investing in our platform for the last three years. We look forward to what the future will bring.
Greg D'Alesandre is now the Senior Product Manager for App Engine after coming back from riding the Google Wave in Sydney. And he's obsessed with chocolate, no, seriously, obsessed.
Posted by Scott Knaster, Editor
2013, By: Seo Master
seo Google Analytics API on App Engine Treemap Visualization 2013
Seo Master present to you: It's Friday, time for some fun!
Here is a captivating way to visualize your Google Analytics data in a Treemap visualization and you can visualize your own data with our live demo.
(note: IE currently not supported for visualization part)
The goal of this example was to teach people how to use the Google Analytics API on App Engine in Java. As well as demonstrating how to use both OAuth and AuthSub along with the App Engine's various services. The code looked great, but the output was a boring HTML table. So I used some open source tools to transform the table into a pretty tree map visualization!
All the code has been open sourced on Google Project hosting. I also wrote an article describing how this application works making it easy for developers to use this example as a starting point for new data visualizations and other Google Data projects.
For the data retrieval part, this example uses the App Engine Java SDK and the Google Analytics Data Export API Java Client Library to retrieve data from Google Analytics. The example code implements both unsigned AuthSub and registered OAuth authorization methods allowing developers to get up and running quickly in development environments and later switch to a secure authorization method in production environments. The application also uses the Model-View-Controller pattern, making it flexible and allowing developers to extend the code for new applications. (like adding support for other Google Data APIs)
For the visualization part, I used the open-sourced Protovis SVG Visualization Library to create the Treemap. This JavaScript library is maintained by the Stanford Visualization Group and excels at creating brand new visualizations from a data set (in this case a boring HTML table). To handle all of the interactions, including rollover, tooltips and slider controls, I used JQuery. Here is the JavaScript source to the visualization part of the sample.
Enjoy!
P.S. If you have created any cool new visualizations using the Google Analytics Data Export API, email us so we can highlight them as well.2013, By: Seo Master
Here is a captivating way to visualize your Google Analytics data in a Treemap visualization and you can visualize your own data with our live demo.
(note: IE currently not supported for visualization part)
The goal of this example was to teach people how to use the Google Analytics API on App Engine in Java. As well as demonstrating how to use both OAuth and AuthSub along with the App Engine's various services. The code looked great, but the output was a boring HTML table. So I used some open source tools to transform the table into a pretty tree map visualization!
All the code has been open sourced on Google Project hosting. I also wrote an article describing how this application works making it easy for developers to use this example as a starting point for new data visualizations and other Google Data projects.
For the data retrieval part, this example uses the App Engine Java SDK and the Google Analytics Data Export API Java Client Library to retrieve data from Google Analytics. The example code implements both unsigned AuthSub and registered OAuth authorization methods allowing developers to get up and running quickly in development environments and later switch to a secure authorization method in production environments. The application also uses the Model-View-Controller pattern, making it flexible and allowing developers to extend the code for new applications. (like adding support for other Google Data APIs)
For the visualization part, I used the open-sourced Protovis SVG Visualization Library to create the Treemap. This JavaScript library is maintained by the Stanford Visualization Group and excels at creating brand new visualizations from a data set (in this case a boring HTML table). To handle all of the interactions, including rollover, tooltips and slider controls, I used JQuery. Here is the JavaScript source to the visualization part of the sample.
Enjoy!
P.S. If you have created any cool new visualizations using the Google Analytics Data Export API, email us so we can highlight them as well.2013, By: Seo Master
seo App Engine Premier Accounts and a new release 2013
Seo Master present to you:
By Greg D'Alesandre, App Engine team
Cross-posted from the Google App Engine Blog
Premier Accounts
Python 2.7
Overall Changes
Greg D'Alesandre is now the Senior Product Manager for App Engine after coming back from riding the Google Wave in Sydney. And he's obsessed with chocolate, no, seriously, obsessed.
Posted by Scott Knaster, Editor
2013, By: Seo Master
By Greg D'Alesandre, App Engine team
Cross-posted from the Google App Engine Blog
2011 has seen some exciting releases for App Engine. As the days get shorter, the weather gets colder, and all that Halloween candy starts tempting everyone in the grocery store, we’ve been hard at work on our latest action-packed release.
Premier Accounts
When choosing a platform for your most critical business applications, we recognize that uptime guarantees, easy management and paid support are often just as important as product features. So today we’re launching Google App Engine premier accounts. For $500 per month (not including the cost to provision internet services), you’ll receive:
- Premium support (see the Technical Support Services Guidelines for details).
- A 99.95% uptime Service Level Agreement (see the draft agreement; the final agreement will be in the signed offline agreement).
- The ability to create an unlimited number of apps on your premier account domain.
- No minimum monthly fees per app. Pay only for the resources you use.
- Monthly billing via invoice.
To sign up for a premier account, please contact our sales team at appengine_premier_requests@google.com.
Python 2.7
PIL? NumPy? Concurrent requests? Python 2.7 has it all, and today we’re opening up Python 2.7 as an experimental release. We’ve put together a list of all the known differences between the current 2.5 runtime and the new runtime.
Overall Changes
We know that bumping up against hard limits can be frustrating, and we’ve talked all year about our continued push to lift our system limits. With this release we are raising several of these:
- Request Duration: The frontend request deadline has been increased from 30 seconds to 60 seconds. We’ve increased the maximum URLFetch deadline to match from 10 seconds to 60 seconds.
- File limits: We’ve increased the number of files you can upload with your application from 3,000 to 10,000 files, and the file size limit has also been increased from 10MB to 32MB.
- API Limits: Post payloads for URLFetches are now capped at 5MB instead of 1MB.
We’re also announcing several limited preview features and trusted tester programs:
- Cloud SQL Preview: We announced last week that we are offering a preview of SQL support in App Engine. Give it a try and let us know what you think.
- Full-text Search: We are looking for early trusted testers for our long-anticipated Full-Text Search API. Please fill out this form if you’re interested in trying it out.
- Conversion API: Ever wanted to convert from text to PDF in your App? Then consider signing up as a trusted tester for the Conversion API.
Datastore
- Cross Group (XG) Transactions: For those who need transactional writes to entities in multiple entity groups (and that's everyone, right?), XG Transactions are just the thing. This feature uses two phase commit to make cross group writes atomic just like single group writes.
Platform Improvements
- Experimental Google Cloud Storage Integration: As Google Cloud Storage, formerly Google Storage for Developers, graduates from labs, we are improving our integration by adding access via the files API.
- Prediction API: Another of our friends graduating from labs is the Prediction API. Check out some of the App Engine examples in their getting started guide.
Of course, these are just the high level changes. This release is packed full of features and bug fixes, and as always, we welcome your feedback in the group.
Greg D'Alesandre is now the Senior Product Manager for App Engine after coming back from riding the Google Wave in Sydney. And he's obsessed with chocolate, no, seriously, obsessed.
Posted by Scott Knaster, Editor
2013, By: Seo Master
seo Google Cloud Storage is out of Code Labs, with new features and lower price 2013
Seo Master present to you:
By Navneet Joneja, Product Manager for Google Cloud Storage
Google Storage for Developers is now out of Code Labs, and has a new name: Google Cloud Storage. In addition, we're also happy to announce some new features, and a significant price reduction.
App Engine File API Support
When we opened the service to all this summer, many of our customers asked for an easier way to use Google Cloud Storage with their App Engine applications. In response to your feedback, you can now read and write your data via the App Engine Files API, enabling you to quickly build your content management tools, data sharing applications, web games and more using the powerful combination of App Engine and Cloud Storage. This feature is experimental and currently Python-only, but we’re working on adding Java support and additional features.
Usage Information
We’re introducing a new API that gives you access to detailed usage information (including network access and storage use data). You can use this feature to analyze your usage, integrate with your analysis systems and build your own value-added applications using Google Cloud Storage. This feature is currently experimental.
Lower Prices
We're no longer charging for upload bandwidth into the Google cloud. In addition, we’re lowering our prices across the board and introducing volume discounts for our larger users. We are committed to offering an extremely high quality of service to all our customers. As the product has evolved, we’ve found ways to offer the same great service at a lower cost, so now our prices are lower too. For example, under our new prices, a customer storing a hundred terabytes of data, reading twenty terabytes and writing ten terabytes a month would pay approximately 40% less a month. The difference is even greater for customers with higher usage. Our new prices are retroactive to the beginning of October. Please see our updated pricing here.
As always, we welcome your feedback in our discussion group. If you haven’t yet tried Google Cloud Storage, you can sign up and get started here.
Navneet Joneja loves being at the forefront of the next generation of simple and reliable software infrastructure, the foundation on which next-generation technology is being built. When not working, he can usually be found dreaming up new ways to entertain his intensely curious one-year-old.
Posted by Scott Knaster, Editor
2013, By: Seo Master
By Navneet Joneja, Product Manager for Google Cloud Storage
Google Storage for Developers is now out of Code Labs, and has a new name: Google Cloud Storage. In addition, we're also happy to announce some new features, and a significant price reduction.
App Engine File API Support
When we opened the service to all this summer, many of our customers asked for an easier way to use Google Cloud Storage with their App Engine applications. In response to your feedback, you can now read and write your data via the App Engine Files API, enabling you to quickly build your content management tools, data sharing applications, web games and more using the powerful combination of App Engine and Cloud Storage. This feature is experimental and currently Python-only, but we’re working on adding Java support and additional features.
Usage Information
We’re introducing a new API that gives you access to detailed usage information (including network access and storage use data). You can use this feature to analyze your usage, integrate with your analysis systems and build your own value-added applications using Google Cloud Storage. This feature is currently experimental.
Lower Prices
We're no longer charging for upload bandwidth into the Google cloud. In addition, we’re lowering our prices across the board and introducing volume discounts for our larger users. We are committed to offering an extremely high quality of service to all our customers. As the product has evolved, we’ve found ways to offer the same great service at a lower cost, so now our prices are lower too. For example, under our new prices, a customer storing a hundred terabytes of data, reading twenty terabytes and writing ten terabytes a month would pay approximately 40% less a month. The difference is even greater for customers with higher usage. Our new prices are retroactive to the beginning of October. Please see our updated pricing here.
As always, we welcome your feedback in our discussion group. If you haven’t yet tried Google Cloud Storage, you can sign up and get started here.
Navneet Joneja loves being at the forefront of the next generation of simple and reliable software infrastructure, the foundation on which next-generation technology is being built. When not working, he can usually be found dreaming up new ways to entertain his intensely curious one-year-old.
Posted by Scott Knaster, Editor
2013, By: Seo Master
seo Streak brings CRM to the inbox with Google Cloud Platform 2013
Seo Master present to you: 
By Aleem Mawani, Co-Founder of Streak
Cross-posted with the Google App Engine Blog
This guest post was written by Aleem Mawani, Co-Founder of Streak, a startup alum of Y Combinator, a Silicon Valley incubator. Streak is a CRM tool built into Gmail. In this post, Aleem shares his experience building and scaling their product using Google Cloud Platform.
Everyone relies on email to get work done – yet most people use separate applications from their email to help them with various business processes. Streak fixes this problem by letting you do sales, hiring, fundraising, bug tracking, product development, deal flow, project management and almost any other business process right inside Gmail. In this post, I want to illustrate how we have used Google Cloud Platform to build Streak quickly, scalably and with the ability to deeply analyze our data.
Our core learning is that you should use the best tool for the job. No one technology will be able to solve all your data storage and access needs. Instead, for each type of functionality, you should use a different service. In our case, we aggressively mirror our data in all the services mentioned above. For example, although the source of truth for our user data is in the App Engine Datastore, we mirror that data in the App Engine Search API so that we can provide full text search, Gmail style, to our users. We also mirror that same data in BigQuery so that we can power internal dashboards.
System Architecture
App Engine - We use App Engine for Java primarily to serve our application to the browser and mobile clients in addition to serving our API. App Engine is the source of truth for all our data, so we aggressively cache using Memcache. We also use Objectify to simplify access to the Datastore, which I highly recommend.
Google Cloud Storage - We mirror all of our Datastore data as well as all our log data in Cloud Storage, which acts as a conduit to other Google cloud services. It lets us archive the data as well as push it to BigQuery and the Prediction API.
BigQuery - Pushing the data into BigQuery allows us to run non-realtime queries that can help generate useful business metrics and slice user data to better understand how our product is getting used. Not only can we run complex queries over our Datastore data but also over all of our log data. This is incredibly powerful for analyzing the request patterns to App Engine. We can answer questions like:
BigQuery helps us monitor error rates in our application. We process all of our log data with debug statements, as well as something called an “error type” for any request that fails. If it’s a known error, we'll log something sensible, and we log the exception type if we haven’t seen it before. This is beneficial because we built a dashboard that queries BigQuery for the most recent errors in the last hour grouped by error type. Whenever we do a release, we can monitor error rates in the application really easily.
In order to move the data into Cloud Storage from the Datastore and LogService, we developed an open source library called Mache. It’s a drop-in library that can be configured to automatically push data into BigQuery via Cloud Storage. The data can come from the Datastore or from LogService and is very configurable - feel free to contribute and give us feedback on it!
Google Cloud Platform also makes our application better for our users. We take advantage of the App Engine Search API and again mirror our data there. Users can then query their Streak data using the familiar Gmail full text search syntax, for example, “before:yesterday name:Foo”. Since we also push our data to the Prediction API, we can help users throughout our app by making smart suggestions. In Streak, we train models based on which emails users have categorized into different projects. Then, when users get a new email, we can suggest the most likely box that the email belongs to.
One issue that arises is how to keep all these mirrored data sets in sync. It works differently for each service based on the architecture of the service. Here’s a simple breakdown:
Having these technologies easily available to us has been a huge help for Streak. It makes our products better and helps us understand our users. Streak’s user base grew 30% every week for 4 consecutive months after launch, and we couldn’t have scaled this easily without Google Cloud Platform. To read more details on why Cloud Platform makes sense for our business, check out our case study and our post on the Google Enterprise blog.
Aleem Mawani is the co-founder of Streak.com, a CRM tool built into Gmail. Previously, Aleem worked on Google Drive and various ads products at Google. He has a degree from the University of Waterloo in Software engineering and an MBA from Harvard University.
Posted by Scott Knaster, Editor
2013, By: Seo Master
By Aleem Mawani, Co-Founder of StreakCross-posted with the Google App Engine Blog
This guest post was written by Aleem Mawani, Co-Founder of Streak, a startup alum of Y Combinator, a Silicon Valley incubator. Streak is a CRM tool built into Gmail. In this post, Aleem shares his experience building and scaling their product using Google Cloud Platform.
Everyone relies on email to get work done – yet most people use separate applications from their email to help them with various business processes. Streak fixes this problem by letting you do sales, hiring, fundraising, bug tracking, product development, deal flow, project management and almost any other business process right inside Gmail. In this post, I want to illustrate how we have used Google Cloud Platform to build Streak quickly, scalably and with the ability to deeply analyze our data.
We use several Google technologies on the backend of Streak:
- App Engine to serve our app.
- App Engine Datastore to persist user data.
- Memcache to make operations fast.
- BigQuery to analyze our logs and power dashboards.
- App Engine Search API to let users sift through their data.
- Prediction API to machine learn over user data.
- Google Translate API to translate our app to over 40 languages.
Our core learning is that you should use the best tool for the job. No one technology will be able to solve all your data storage and access needs. Instead, for each type of functionality, you should use a different service. In our case, we aggressively mirror our data in all the services mentioned above. For example, although the source of truth for our user data is in the App Engine Datastore, we mirror that data in the App Engine Search API so that we can provide full text search, Gmail style, to our users. We also mirror that same data in BigQuery so that we can power internal dashboards.
System Architecture
Google Cloud Storage - We mirror all of our Datastore data as well as all our log data in Cloud Storage, which acts as a conduit to other Google cloud services. It lets us archive the data as well as push it to BigQuery and the Prediction API.
BigQuery - Pushing the data into BigQuery allows us to run non-realtime queries that can help generate useful business metrics and slice user data to better understand how our product is getting used. Not only can we run complex queries over our Datastore data but also over all of our log data. This is incredibly powerful for analyzing the request patterns to App Engine. We can answer questions like:
- Which requests cost us the most money?
- What is the average response time for every URL on our site over the last 3 days?
BigQuery helps us monitor error rates in our application. We process all of our log data with debug statements, as well as something called an “error type” for any request that fails. If it’s a known error, we'll log something sensible, and we log the exception type if we haven’t seen it before. This is beneficial because we built a dashboard that queries BigQuery for the most recent errors in the last hour grouped by error type. Whenever we do a release, we can monitor error rates in the application really easily.
 |
| A Streak dashboard powered by BigQuery showing current usage statistics |
.jpg){kind=link}
Google Cloud Platform also makes our application better for our users. We take advantage of the App Engine Search API and again mirror our data there. Users can then query their Streak data using the familiar Gmail full text search syntax, for example, “before:yesterday name:Foo”. Since we also push our data to the Prediction API, we can help users throughout our app by making smart suggestions. In Streak, we train models based on which emails users have categorized into different projects. Then, when users get a new email, we can suggest the most likely box that the email belongs to.
One issue that arises is how to keep all these mirrored data sets in sync. It works differently for each service based on the architecture of the service. Here’s a simple breakdown:
Having these technologies easily available to us has been a huge help for Streak. It makes our products better and helps us understand our users. Streak’s user base grew 30% every week for 4 consecutive months after launch, and we couldn’t have scaled this easily without Google Cloud Platform. To read more details on why Cloud Platform makes sense for our business, check out our case study and our post on the Google Enterprise blog.
Aleem Mawani is the co-founder of Streak.com, a CRM tool built into Gmail. Previously, Aleem worked on Google Drive and various ads products at Google. He has a degree from the University of Waterloo in Software engineering and an MBA from Harvard University.
Posted by Scott Knaster, Editor
2013, By: Seo Master
seo Google Cloud SQL: your database in the cloud 2013
Seo Master present to you:
By Navneet Joneja, Product Manager for Google Cloud SQL
Cross-posted from the Google App Engine Blog
One of App Engine’s most requested features has been a simple way to develop traditional database-driven applications. In response to your feedback, we’re happy to announce the limited preview of Google Cloud SQL.
You can now choose to power your App Engine applications with a familiar relational database in a fully-managed cloud environment. This allows you to focus on developing your applications and services, free from the chores of managing, maintaining and administering relational databases.
Google Cloud SQL brings many benefits to the App Engine community:
Cloud SQL is available free of charge for now, and we will publish pricing at least 30 days before charging for it. The service will continue to evolve as we work out the kinks during the preview, but let us know if you’d like to take it for a spin.
Navneet Joneja loves being at the forefront of the next generation of simple and reliable software infrastructure, the foundation on which next-generation technology is being built. When not working, he can usually be found dreaming up new ways to entertain his intensely curious one-year-old.
Posted by Scott Knaster, Editor
2013, By: Seo Master
By Navneet Joneja, Product Manager for Google Cloud SQL
Cross-posted from the Google App Engine Blog
One of App Engine’s most requested features has been a simple way to develop traditional database-driven applications. In response to your feedback, we’re happy to announce the limited preview of Google Cloud SQL.
You can now choose to power your App Engine applications with a familiar relational database in a fully-managed cloud environment. This allows you to focus on developing your applications and services, free from the chores of managing, maintaining and administering relational databases.
Google Cloud SQL brings many benefits to the App Engine community:
- No maintenance or administration - we manage the database for you.
- High reliability and availability - your data is replicated synchronously to multiple data centers. Machine, rack and data center failures are handled automatically to minimize end-user impact.
- Familiar MySQL database environment with JDBC support (for Java-based App Engine applications) and DB-API support (for Python-based App Engine applications).
- Comprehensive user interface for administering databases.
- Simple and powerful integration with Google App Engine.
Cloud SQL is available free of charge for now, and we will publish pricing at least 30 days before charging for it. The service will continue to evolve as we work out the kinks during the preview, but let us know if you’d like to take it for a spin.
Navneet Joneja loves being at the forefront of the next generation of simple and reliable software infrastructure, the foundation on which next-generation technology is being built. When not working, he can usually be found dreaming up new ways to entertain his intensely curious one-year-old.
Posted by Scott Knaster, Editor
2013, By: Seo Master
seo Google @ GDC Online Oct. 10th-12th 2013
Seo Master present to you: 
By Amy Walgenbach, Developer Marketing
This year at the Game Developers Conference (GDC) Online we have organized a Developer Day on Oct. 10th full of Google information for game developers. It will feature hardcore technical information on Google products and platforms delivered by Google engineers and developer advocates. We’ll discuss the latest projects we’re working on and how our online technologies can help you better create, distribute, and monetize games that reach a larger audience than ever before. We’ll present everything from how developers can build hardware accelerated 3D games for the browser with WebGL to the game framework used to bring Angry Birds to the Web.
In addition to the Developer Day, we will also have a booth on the Expo floor on Oct. 11th-12th where we’ll have representatives from the Chrome Web Store, Native Client, WebGL, App Engine, Google+, In-App Payments, Google TV, and AdSense/AdMob demoing technologies and platforms for game developers. Come by booth 503 to try out Google products and ask questions, or hang out in our Google TV lounge.
For more information on our presence at GDC Online, including session and speaker details, please visit http://www.google.com/events/gdc/2011. Hope to see you in Austin!
Not able to attend GDC? Check out Google Game Developer Central to get an overview of Google products and services that are particularly relevant to game developers.
Amy Walgenbach is the Product Marketing lead for the Google+ platform and leads developer marketing for games at Google.
Posted by Scott Knaster, Editor
2013, By: Seo Master
By Amy Walgenbach, Developer Marketing
This year at the Game Developers Conference (GDC) Online we have organized a Developer Day on Oct. 10th full of Google information for game developers. It will feature hardcore technical information on Google products and platforms delivered by Google engineers and developer advocates. We’ll discuss the latest projects we’re working on and how our online technologies can help you better create, distribute, and monetize games that reach a larger audience than ever before. We’ll present everything from how developers can build hardware accelerated 3D games for the browser with WebGL to the game framework used to bring Angry Birds to the Web.
For more information on our presence at GDC Online, including session and speaker details, please visit http://www.google.com/events/gdc/2011. Hope to see you in Austin!
Not able to attend GDC? Check out Google Game Developer Central to get an overview of Google products and services that are particularly relevant to game developers.
Amy Walgenbach is the Product Marketing lead for the Google+ platform and leads developer marketing for games at Google.
Posted by Scott Knaster, Editor
2013, By: Seo Master
seo Now in BigQuery: batch queries and a connector for Excel 2013
Seo Master present to you: 
By Ryan Boyd, Developer Advocate for Cloud Data Services
Businesses and developers are using BigQuery to solve a wide variety of use cases – from optimizing advertising campaigns, to spotting inventory shortfalls, to understanding customer behavior. Accommodating these varied use cases requires BigQuery to be flexible, both for the developers integrating applications with the API and for the analysts running ad-hoc queries. Today we’ve made it more flexible by adding batch queries and a connector for Microsoft Excel.
Batch priority queries
BigQuery was designed for ad-hoc, iterative analytics on millions-to-billions of rows of data. When you’re diving into your data to gain insights, you want your queries to run in seconds rather than waiting minutes or hours. Sometimes our customers don’t need these fast responses when they’re running nightly jobs to update dashboards or reports, but want to use the same BigQuery technology and underlying datasets for these queries. We’ve now added batch pricing to accommodate these developers, allowing them to run their queries at a significantly lower cost.
Here’s how to set the priority to ‘batch’ when submitting a new query via the Google APIs Client Library for Java:
BigQuery Connector for Excel
Spreadsheets are a popular tool for analysts, executives and and developers to explore data. Last year we launched the ability for users of Google Spreadsheets to execute BigQuery queries using the Google Apps Script integration. Today, we’re launching the BigQuery Connector for Excel, which allows Microsoft Excel users to do the same with the ‘External Data’ functionality built into the product. Once the BigQuery results are in Excel, you can easily make pivot tables, create charts and integrate it with data from other sources. If you’re interested, you can try it right now!
Let us know what you think of these new features and what else you’d like to see in the roadmap by reaching out on Google+. We’ll also be holding office hours this Friday at 10 AM PDT on Google Developers Live to talk about these new features and answer any questions you have about BigQuery.
Microsoft and Excel are registered trademarks of Microsoft Corporation
Ryan Boyd is a Developer Advocate, focused on cloud data services. He's been at Google for 6 years and previously helped build out the Google Apps ISV ecosystem. He published his first book "Getting Started with OAuth 2.0" with O'Reilly.
Posted by Scott Knaster, Editor
2013, By: Seo Master
By Ryan Boyd, Developer Advocate for Cloud Data Services
Businesses and developers are using BigQuery to solve a wide variety of use cases – from optimizing advertising campaigns, to spotting inventory shortfalls, to understanding customer behavior. Accommodating these varied use cases requires BigQuery to be flexible, both for the developers integrating applications with the API and for the analysts running ad-hoc queries. Today we’ve made it more flexible by adding batch queries and a connector for Microsoft Excel.
Batch priority queries
BigQuery was designed for ad-hoc, iterative analytics on millions-to-billions of rows of data. When you’re diving into your data to gain insights, you want your queries to run in seconds rather than waiting minutes or hours. Sometimes our customers don’t need these fast responses when they’re running nightly jobs to update dashboards or reports, but want to use the same BigQuery technology and underlying datasets for these queries. We’ve now added batch pricing to accommodate these developers, allowing them to run their queries at a significantly lower cost.
Here’s how to set the priority to ‘batch’ when submitting a new query via the Google APIs Client Library for Java:
Job job = new Job();Batch queries will execute between 30 minutes and 3 hours after they are submitted. See more information in our Developers Guide.
JobConfiguration config = new JobConfiguration();
JobConfigurationQuery queryConfig = new JobConfigurationQuery();
config.setQuery(queryConfig);
job.setConfiguration(config);
queryConfig.setQuery(querySql);
queryConfig.setPriority("BATCH");
com.google.api.services.bigquery.Bigquery.Jobs.Insert insert =
bigquery.jobs().insert(projectId, job);
BigQuery Connector for Excel
Spreadsheets are a popular tool for analysts, executives and and developers to explore data. Last year we launched the ability for users of Google Spreadsheets to execute BigQuery queries using the Google Apps Script integration. Today, we’re launching the BigQuery Connector for Excel, which allows Microsoft Excel users to do the same with the ‘External Data’ functionality built into the product. Once the BigQuery results are in Excel, you can easily make pivot tables, create charts and integrate it with data from other sources. If you’re interested, you can try it right now!
Let us know what you think of these new features and what else you’d like to see in the roadmap by reaching out on Google+. We’ll also be holding office hours this Friday at 10 AM PDT on Google Developers Live to talk about these new features and answer any questions you have about BigQuery.
Microsoft and Excel are registered trademarks of Microsoft Corporation
Ryan Boyd is a Developer Advocate, focused on cloud data services. He's been at Google for 6 years and previously helped build out the Google Apps ISV ecosystem. He published his first book "Getting Started with OAuth 2.0" with O'Reilly.
Posted by Scott Knaster, Editor
2013, By: Seo Master
seo Helping developers build more applications on Google BigQuery 2013
Seo Master present to you:
By Ju-kay Kwek and Amanda Bradford, Google BigQuery Team
In May we launched Google BigQuery, a fully managed cloud-based service that enables businesses to analyze enormous amounts of data in the cloud. While we're continually amazed by the range of business problems being solved, we recognize that writing one-off scripts to ingest data, or creating custom front-end integration, requires effort and takes away time from the fun stuff: getting results.
So today we're pleased to highlight a few new members of our Cloud Platform Partner Program that are here to help you be even more productive – by delivering tools integrated with BigQuery that make it much easier to automatically load data from a broad set of sources, as well as to analyze and visualize the data with spectacular dashboards.
Import data from multiple sources into BigQuery
We’ve partnered with Informatica, Pervasive Software, Talend and SQLstream to make it easier to bring data from a variety of sources into BigQuery. This means you can use their BigQuery connectors to move data very easily from on-premise or cloud IT systems to BigQuery. For example, TribusPoint, a consulting firm, leveraged the Informatica Cloud BigQuery connector to rapidly move large files from their on-premise data centers to BigQuery.
Build rich interactive dashboards on BigQuery
We’ve partnered with data visualization providers QlikTech, Jaspersoft, Bime Analytics and Metric Insights to help you build rich, interactive dashboards for a broad range of customers. You can use their tools to build dashboards and reports very easily. For example, Pixelfish leveraged Metric Insights BigQuery integration to create dashboards that delivered a 300% improvement in customer engagement.
Click the partner links above to see more specific customer examples of each. We have just scratched the surface on Google BigQuery. We can’t wait to see what other cool applications you can build on Google BigQuery using our APIs. Hack away!
Ju-kay Kwek is the Product Management Lead for Google's Cloud Big Data initiative. In this role, he focuses on creating services that enable businesses and developers to harness Google's unparalleled data processing infrastructure and algorithms to tackle Big Data needs.
Amanda Bradford works in Business Development at Google, driving strategic alliances and partnerships for Google and specializing in the Google Cloud Platform.
Posted by Scott Knaster, Editor
2013, By: Seo Master
 |
| Amanda |
 |
| Ju-kay |
In May we launched Google BigQuery, a fully managed cloud-based service that enables businesses to analyze enormous amounts of data in the cloud. While we're continually amazed by the range of business problems being solved, we recognize that writing one-off scripts to ingest data, or creating custom front-end integration, requires effort and takes away time from the fun stuff: getting results.
So today we're pleased to highlight a few new members of our Cloud Platform Partner Program that are here to help you be even more productive – by delivering tools integrated with BigQuery that make it much easier to automatically load data from a broad set of sources, as well as to analyze and visualize the data with spectacular dashboards.
Import data from multiple sources into BigQuery
We’ve partnered with Informatica, Pervasive Software, Talend and SQLstream to make it easier to bring data from a variety of sources into BigQuery. This means you can use their BigQuery connectors to move data very easily from on-premise or cloud IT systems to BigQuery. For example, TribusPoint, a consulting firm, leveraged the Informatica Cloud BigQuery connector to rapidly move large files from their on-premise data centers to BigQuery.
Build rich interactive dashboards on BigQuery
We’ve partnered with data visualization providers QlikTech, Jaspersoft, Bime Analytics and Metric Insights to help you build rich, interactive dashboards for a broad range of customers. You can use their tools to build dashboards and reports very easily. For example, Pixelfish leveraged Metric Insights BigQuery integration to create dashboards that delivered a 300% improvement in customer engagement.
Click the partner links above to see more specific customer examples of each. We have just scratched the surface on Google BigQuery. We can’t wait to see what other cool applications you can build on Google BigQuery using our APIs. Hack away!
Ju-kay Kwek is the Product Management Lead for Google's Cloud Big Data initiative. In this role, he focuses on creating services that enable businesses and developers to harness Google's unparalleled data processing infrastructure and algorithms to tackle Big Data needs.
Amanda Bradford works in Business Development at Google, driving strategic alliances and partnerships for Google and specializing in the Google Cloud Platform.
Posted by Scott Knaster, Editor
2013, By: Seo Master
seo Presentations from Google Developer Days in Asia are now live 2013
Seo Master present to you: 
Videos, presentations, and photos from our Google Developer Days in China and Japan are now live. China's event kicked off our 2009 GDDs in Beijing on June 5 and Japan's GDD was a few days later on June 9. 
At each event, attendees had the opportunity to learn about products such as Android, Chrome, OpenSocial, and App Engine and interacted with Google developers during office hours. Developers even got a sneak peak of Google Wave!
2013, By: Seo Master
Videos, presentations, and photos from our Google Developer Days in China and Japan are now live. China's event kicked off our 2009 GDDs in Beijing on June 5 and Japan's GDD was a few days later on June 9. 
At each event, attendees had the opportunity to learn about products such as Android, Chrome, OpenSocial, and App Engine and interacted with Google developers during office hours. Developers even got a sneak peak of Google Wave!
2013, By: Seo Master