Over the last few releases, we've been rolling out incremental improvements to the robots API , based on the feedback from all of you developers. For those of...
There are seven common antipatterns in T-SQL coding that make code perform badly, and three good habits which will generally ensure that your code runs fast. If you learn nothing else from this list of great advice from Grant, just keep in mind that you should 'write for the optimizer'.
Compress live data by 73% Red Gate's SQL Storage Compress reduces the size of live SQL Server databases, saving you disk space and storage costs. Learn more.
This article describes the concepts for doing CRUD (Create, Read, Update, Delete) operations on Windows Azure Tables and how table data can interact with the Blobs.
If you’ve dug around the many graphs that are displayed when you type “about:histograms” into Chrome’s Omnibox, you’ll notice that we’re still obsessed about measuring, benchmarking, and improving...
BigQuery: Simple example of a data collection and analysis pipeline + Your questions
Join Michael Manoochehri and Ryan Boyd live to talk about Google BigQuery. We'll give an overview of how we're using our cars, phones, App Engine and BigQuery to collect and analyze data. We'll be discussing our trusted tester feature which allows analyzing data from the App Engine datastore. We'll also review some of the more interesting questions from Stack Overflow and take questions via Google Moderator.
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I've been programming for a while and I think I write clean code. But I do this by hacking away, tinkering and testing things until I feel good about the functionality, and then coming in and refactoring, refactoring, refactoring.
I tend to write mostly in PHP, Java, and C. Are there any good books that will help me learn to visualize things better and not code everything as if in an infinite REPL loop?
Thanks.
This article illustrates the risks of exceptions being thrown where it is generally not expected, e.g., a library function or a finally block, and shows ways to prevent some insidious errors (such as inconsistency of program data or loss of exception information).
Experiments in Big Data Visualization on Maps
Brendan Kenny and Mano Marks continue their series on using the CanvasLayer library and HTML5 APIs to visualize large amounts of data on top of Google maps. This week they look at loading Shapefiles and KML directly in the browser and using WebGL to render their content over a map.
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Google I/O Sandbox Case Study: VectorUnit
We interviewed VectorUnit at the Google I/O Sandbox on May 11, 2011 and they explained to us the benefits of building for the Android Platform. VectorUnit creates console-quality video games for the Android. For more information on Android developers, visit: developers.android.com For more information on VectorUnit, visit vectorunit.com
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Google I/O , Google’s largest annual developer conference, will take place on May 19-20 at Moscone West San Francisco, and nearly all of the tracks feature open sourced...
Chrome Mobile: The Mobile Web Developers Toolkit (Part 2)
Building for mobile web requires a different mindset than desktop web development, and a different set of tools. The tools we're used to using often aren't available or would take up too much screen real estate. And going back to the dark ages of tweak/save/deploy/test/repeat isn't exactly optimal, so what can we do? Thankfully there are a number of great options - from remote debugging to emulation, mobile browsers are offering more and more tools to make our lives easier. We'll take a look at a couple of tools that you can use today to make cross platform mobile web development easier and then peer into the crystal ball to see what tools may bring in the future. Join us for Part 2 - as we take a look at a some of the many tools to make testing the mobile web easier.
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All about SQL Indexes - Query Optimizer, Index, Unique Index, Clustered Index, Full Text Index, XML Index and SQL commands to create, delete, and rename SQL indexes.