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Seo Master present to you: By Dan Peterson, Google Web Toolkit team

Removing the beta label from a product is a great milestone, and we're glad to report that the latest one to make that move is the Google Web Toolkit (GWT).

With the release of Google Web Toolkit (GWT) version 1.4, we'd like to give a shout out to the open-source GWT contributors that put in many hours of hard work to make GWT what it is today. We look forward to continuing to make GWT better.

If you are new to GWT check out the story and then read up on the specifics about GWT 1.4:

There's lots and lots of cool new stuff in GWT 1.4, so it's hard to know where to start. How about application performance?! This release includes several breakthroughs that make your compiled GWT code significantly smaller and faster. Many users are reporting that after a simple recompile with 1.4, their applications are up to 30% smaller and 20%-50% faster. And startup time in particular is now highly optimized thanks to a new bootstrapping technique and the availability of image bundles. To see the new hotness in action, try visiting the new-and-improved Mail sample a few times. It's darn fast the very first time you visit it, but subsequent visits are insanely fast. That's because, in addition to a fast initial startup, GWT code uses a clever caching technique to prevent applications from making unnecessary HTTP requests. As Joel Webber (Tech Lead of GWT Core Libraries) would say, "The fastest HTTP requests are those that do not, in fact, occur."

Hungry for more?

• Download GWT
• Details for upgrading to GWT 1.4
  
• Visit the GWT blog
• Join the discussions on the GWT Developer Forum

2013, By: Seo Master

Seo Master present to you: By Stephanie Liu, Google data APIs Team

YouTube is the latest service to join the GData family. Now you can search through YouTube's index and get detailed video, user, and playlist information in the form of GData feeds. If you haven't built something with YouTube yet, now's a great time to get started! Here are some examples to give you ideas.

Search through the index for new 'puppies' videos (I subscribe to this query, doesn't everyone?):
http://gdata.youtube.com/feeds/videos?vq=puppies&orderby=updated

Search through lonelygirl15's videos for the season finale (maybe you missed it, or just want to relive the drama):
http://gdata.youtube.com/feeds/users/lonelygirl15/uploads?vq=season+finale

List all of NBC's playlists:
http://gdata.youtube.com/feeds/users/nbc/playlists

Ooh! They have a Heroes playlists (I love Hiro):
http://gdata.youtube.com/feeds/playlists/E0E4BC86E9D0ACB3

The full list of functionality can be found in the reference guide on our new home on code.google.com.

For the old-school YouTube developers, the migration guide has info on switching over, including the upgrade timeline (you'll have at least a year).
Head over to the YouTube API Announcement Blog for the rest of the details.

I'm looking forward to seeing new faces in our developer forum - feel free to stop by with questions or feedback.2013, By: Seo Master

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:

    Job job = new Job();
    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);

Batch queries will execute between 30 minutes and 3 hours after they are submitted. See more information in our Developers Guide.

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