Data Access for Highly-Scalable Solutions: Using SQL, NoSQL, and Polyglot Persistence Douglas McMurtry

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257 pages


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Data Access for Highly-Scalable Solutions: Using SQL, NoSQL, and Polyglot Persistence  by  Douglas McMurtry

Data Access for Highly-Scalable Solutions: Using SQL, NoSQL, and Polyglot Persistence by Douglas McMurtry
| ebook | PDF, EPUB, FB2, DjVu, talking book, mp3, RTF | 257 pages | ISBN: | 8.21 Mb

SummaryThe business requirements of many modern business applications often involve processing large amounts of data. Additionally, the performance requirements typically make it imperative that the application uses the most efficient means to storeMoreSummaryThe business requirements of many modern business applications often involve processing large amounts of data.

Additionally, the performance requirements typically make it imperative that the application uses the most efficient means to store and retrieve this data. In the past, most application designers would have simply chosen to save this data in a SQL database, but the recent advances in NoSQL technology have brought about highly-scalable, non-relational databases that can handle vast amounts of information very efficiently.

Each type of NoSQL database is often optimized for a particular pattern of data access, and application designers are now increasingly looking to integrate multiple NoSQL and SQL databases into their solutions.This guide describes how to design and build applications and services that can take best advantage of SQL and NoSQL databases by combining them into a polyglot solution. It provides an end to end walkthrough of a business application that uses SQL Server in conjunction with a variety of NoSQL databases, showing how the designers selected the databases to closely match the various business requirements.This guide describes:The different types of NoSQL databases currently available, the features that they commonly provide, and how they are more suited to some common data access scenarios that relational databases.The principles of designing a relational database to support fast queries and transaction processing.How using a key/value store can optimize operations that identify data by using key values only.When to use a document database to store and retrieve structured information quickly and efficiently.The features of a column-family database that enable applications to store, retrieve, and analyze data held in very large datasets.How to use a graph database to store information about the complex relationships between data items, and how to query these items based on these relationships very efficiently.How to combine different SQL and NoSQL databases together into a cohesive solution that meets the scalability, availability, and consistency requirements of your business applications.In addition to describing the sample application, its integration with the web services, and the decisions made during its design and implementation, this book discusses related factors, such as the design patterns used, and good practice for separating the business logic of an application from the data access logic to avoid introducing dependencies between the two.The result is that, after reading this book, you will be familiar with the basic principles that underpin most SQL and NoSQL databases, and you will be able to design and implement business applications that can take best advantage of the different models of data access that these databases provide.http://dataguidance.codeplex.com/



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