[Springer UTCS] Bramer – Principles of Data Mining
General:
Name: [Springer UTCS] Bramer – Principles of Data Mining
Format: pdf
Size: 4.27 MB
Book:
Title: Spring Data
Author: Pollack Mark, Gierke Oliver i inni , Thomas RisbergzwiÅ„
Language: polski
Year: 2012
Subjects: N/A
Publisher: Wydawnictwo: O’Reilly Media
ISBN: 9781449331887
Total pages: 444
Description:
You can choose several data access frameworks when building Java enterprise applications that work with relational databases. But what about big data? This hands-on introduction shows you how Spring Data makes it relatively easy to build applications across a wide range of new data access technologies such as NoSQL and Hadoop.Through several sample projects, you…ll learn how Spring Data provides a consistent programming model that retains NoSQL-specific features and capabilities, and helps you develop Hadoop applications across a wide range of use-cases such as data analysis, event stream processing, and workflow. You…ll also discover the features Spring Data adds to Spring…s existing JPA and JDBC support for writing RDBMS-based data access layers.Learn about Spring…s template helper classes to simplify the use ofdatabase-specific functionalityExplore Spring Data…s repository abstraction and advanced query functionalityUse Spring Data with Redis (key/value store),HBase(column-family),MongoDB (document database),and Neo4j (graph database)Discover the GemFire distributed data grid solutionExport Spring Data JPA-managed entities to the Web as RESTful web servicesSimplify the development of HBase applications, using a lightweight object-mapping frameworkBuild example big-data pipelines with Spring Batch and Spring Integration
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