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SpringOne2GX 2014 Replay: Hadoop 201 -- Deeper into the Elephant

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SpringOne2GX 2014 Replay: Hadoop 201 -- Deeper into the Elephant

· Java Zone
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In this complimentary, preview edition of the O’Reilly eBook on cloud-native Java, discover how Spring and Cloud Foundry make it easy to build cloud-native applications that create differentiated business value.  Brought to you in partnership with Pivotal.

Recorded at SpringOne2GX 2014.

Speaker: Roman Shaposhnik

Big Data Track

Slides: http://www.slideshare.net/SpringCentral/hadoop-201-deeper-into-the-elephant

This session expands on the previous year's "Hadoop: Just the Basics for Big Data Rookies", diving deeper into the details of key Apache Hadoop projects. We will start with a brief recap of HDFS and MapReduce, then discuss more advanced features of HDFS, in addition to how YARN has enabled businesses to massively scale their systems beyond what was previously possible. We will then discuss Apache HBase, the non-relational database modeled after Google's BIg table, review the data model, architecture, and common use cases. By the end of this session, you will learn how these three core Hadoop projects are used to solve even the most challenging Big Data problems.

Read how Cloud Foundry, Spring Boot, and Spring Cloud offer the best tools to commoditize the architecture of the cloud. Download the free O’Reilly eBook today.  Brought to you in partnership with Pivotal.

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Published at DZone with permission of Pieter Humphrey, DZone MVB. See the original article here.

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