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A Guided Tour of Hortonworks Data Platform HDP 2.5

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A Guided Tour of Hortonworks Data Platform HDP 2.5

This article is a guided tour around the new version of Hortonworks Data Platform (HDP) 2.5. Check it out!

· Big Data Zone ·
Free Resource

Hortonworks Sandbox for HDP and HDF is your chance to get started on learning, developing, testing and trying out new features. Each download comes preconfigured with interactive tutorials, sample data and developments from the Apache community.

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HDP 2.5 builds on the previous version 2.4, but has upgraded layouts, various Apache projects, some Technical Previews, and other enhancements.

Technical Preview Features

  • Apache HBase and Apache Phoenix backup and restore
  • Apache Hive Stored Procedures (Hybrid Procedural SQL)
  • Apache Hive LLAP Daemons
  • Apache Hive 2.1
  • Apache Slider support for Docker containers
  • Apache Storm with automatic back pressure
  • Apache Zeppelin added support for Apache Phoenix

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Ambari Dashboard has more metrics and displays.

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Grafana dashboards have been added for Hive and other tools for metrics and monitoring.

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Log Search has been added to make it easy to search all logs for Hadoop components via a search dashboard.  You can limit and filter the logs by Time Zone on a world map.

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A large number of Apache Big Data projects are included in the HDP 2.5 release:

  • Atlas 0.7.0
  • Calcite 1.2.0
  • DataFu 1.3.0
  • Falcon 0.10.0
  • Flume 1.5.2
  • Hadoop Core 2.7.3
  • HBase 1.1.2
  • Hive 1.2.1
  • Kafka 0.10.0.1
  • Knox 0.9.0
  • Mahout 0.9.0+
  • Oozie 4.2.0
  • Phoenix 4.7.0
  • Pig 0.16.0 Ranger 0.6.0
  • Slider 0.91.0
  • Solr 5.2.2
  • Spark 1.6.2
  • Sqoop 1.4.6
  • Storm 1.0.1
  • Tez 0.7.0
  • Zeppelin 0.6.0
  • ZooKeeper 3.4.6

For Java and Scala developers, the most interesting projects are Storm, Spark, and Zeppelin as they offer streaming frameworks for Big Data application development.

Hortonworks Community Connection (HCC) is an online collaboration destination for developers, DevOps, customers and partners to get answers to questions, collaborate on technical articles and share code examples from GitHub.  Join the discussion.

Topics:
hadoop ,hortonworks ,big data ,spark

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