Data Persistence in Google App Engine
An O'Reilly Breakdown
Publisher: O'Reilly Media
Final Release Date: February 2011
Run time: 2 hours 28 minutes

Every application needs data, and cloud-based applications in particular have unique challenges associated with data persistence. In this O'Reilly Breakdown, cloud programmer Dan Pilone takes you through the ins and outs of storing data in the cloud. You'll learn how to interact with Google's data service, caching infrastructure, and even get a handle on indices and searching.

Through building a cloud-based application, you'll learn the services that Google provides and how to access each. You'll also persist data, read that data, investigate the problems of working with cloud-based remote data, and see how caching affects your user's experiences with your application.

The experts in the O'Reilly Breakdown live video series not only break down the concepts of difficult and complex subjects, they also demonstrate practical implementation and use. Each episode features an experienced programmer, developer, or software designer working on real-world challenges, ranging from iPad user interface design and multi-tasking on Android phones to caching in cloud-based applications.

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O'Reilly MediaData Persistence in Google App Engine
 
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4.0

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By REC

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  • Accurate
  • Easy to understand
  • Helpful examples

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Comments about O'Reilly Media Data Persistence in Google App Engine:

Great introduction to core concepts of the AppEngine and how to persist data to it. Carried out in an easy to follow and comprehend conversational manner. Use of video makes it easy to follow how things are accomplished in Eclipse with the Google AppEngine SDK. Plus you pick up some other useful tricks just watching how he works.

Would be nice to have a searchable transcript of the conversation so you can review it for key terms and references they make to other training, technology and materials.

Would love a more comprehensive approach - including examples of data validation, use of GWT Designer, binding to Data Grids and more in depth examples of queries (using multiple parameters).

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