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Programming Data

by
ISBN13:

9780321685131

ISBN10:
032168513X
Format:
Paperback
Pub. Date:
12/10/2011
Publisher(s):
Pearson P T R

Questions About This Book?

What version or edition is this?
This is the edition with a publication date of 12/10/2011.
What is included with this book?
  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any CDs, lab manuals, study guides, etc.

Summary

Master breakthrough Microsoft platforms, tools, and services for building data-driven applications with up to 10x greater productivity The first book to thoroughly cover Microsoft's powerful new platform for building data-driven applications (a.k.a. 'Oslo') Shows how to make the most of VS 2010's powerful 'out of the box' tools for database development, including model-first design, EDM, Entity Framework, Database Projects, and ODP. By high-profile Microsoft .NET insider and speaker Chris Sells. In Programming Data, Chris Sells introduces state-of-the-art Microsoft data access and management tools, and shows how to use them to drive 10x productivity gains across your application lifecycle. Sells steers developers around the wreckage of multiple legacy data access and management technologies, showing how to leverage Microsoft's huge new investments to dramatically improve data-driven applications and development processes. He begins by exploring powerful data access and data management technologies that come 'out of the box' in Visual Studio 2010, including model-first design, The Entity Data Model (EDM), The Entity Framework (EF), Database Projects And The Open Data Protocol (ODP). Next, he presents state-of-the-art techniques for: Efficiently deploying databases. Using SQL Azure to safely host databases in the cloud. Using Integration Services to transform data between multiple sources. Using Reporting Services to give users behind-the-scenes access to data without writing custom code. Utilizing Modeling Services's convenient text experience for editing data models. Keeping multiple data stores in sync. Improving transparency into application artifacts. Increasing leverage across applications and metadata. Mastering best-of-breed tools for language design and implementation


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