[PDF.07kt] Data Access for Highly-Scalable Solutions: Using SQL, NoSQL, and Polyglot Persistence (Microsoft patterns & practices)

Data Access for Highly-Scalable Solutions: Using SQL, NoSQL, and Polyglot Persistence (Microsoft patterns & practices)

[PDF.be59] Data Access for Highly-Scalable Solutions: Using SQL, NoSQL, and Polyglot Persistence (Microsoft patterns & practices)

Data Access for Highly-Scalable  John Sharp, Douglas McMurtry, Andrew Oakley, Mani Subramanian, Hanzhong Zhang epub
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 | #2651799 in Books |  2013-09-27 | Original language:English |  10.00 x.65 x8.00l, | File type: PDF | 274 pages

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||0 of 1 people found the following review helpful.| Three Stars|By Izzet|Somewhat focused on Microsoft products|1 of 4 people found the following review helpful.| Three Stars|By Customer|Good high level overview|About the Author|John Sharp is a principal technologist at Content Master, part of CM Group Ltd (www.contentmaster.com) , a technical authoring and consulting company. An expert on developing applications with the Microsoft .NET Framework and Windows Azur

All applications use data, and most applications also need to store this data somewhere. In the world of business solutions, this often meant creating a relational database. However, relational technology is not always the best solution to meet the increasingly complex data-processing requirements of modern business systems, especially when this processing involves storing and retrieving massive amounts of data.

The advent of NoSQL databases has changed the way...

You easily download any file type for your gadget.Data Access for Highly-Scalable Solutions: Using SQL, NoSQL, and Polyglot Persistence (Microsoft patterns & practices)   |  John Sharp, Douglas McMurtry, Andrew Oakley, Mani Subramanian, Hanzhong Zhang. A good, fresh read, highly recommended.

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