From the Dev Team

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Hortonworks would like to congratulate Leslie Lamport on winning the 2013 Turing Award given by the Association of Computing Machinery. This award is essentially the equivalent of the Nobel Prize for computer science.  Among Lamport’s many and varied contributions to the field computer science are: TLA (Temporal Logic for Actions)LaTeX and PAXOS.

The latter of these, the PAXOS three phase consensus protocol, inspires the Zookeeper coordination service, and powers HBase and highly available HDFS.…

This blog post originally appeared here and is reproduced in its entirety here. Part 1 can be found here.

The HBase BlockCache is an important structure for enabling low latency reads. As of HBase 0.96.0, there are no less than three different BlockCache implementations to choose from. But how to know when to use one over the other? There’s a little bit of guidance floating around out there, but nothing concrete.…

The Apache Tez community has voted to release 0.3 of the software.

Apache™ Tez is a replacement of MapReduce that provides a powerful framework for executing a complex topology of tasks. Tez 0.3.0 is an important release towards making the software ready for wider adoption by focussing on fundamentals and ironing out several key functions. The major action areas in this release were

  • Security. Apache Tez now works on secure Hadoop 2.x clusters using the built-in security mechanisms of the Hadoop ecosystem.…
  • Elasticsearch’s engine integrates with Hortonworks Data Platform 2.0 and YARN to provide real-time search and access to information in Hadoop.

    See it in action:  register for the Hortonworks and Elasticsearch webinar on March 5th 2014 at 10 am PST/1pm EST to see the demo and an outline for best practices when integrating Elasticsearch and HDP 2.0 to extract maximum insights from your data.  Click here to register for this exciting and informative webinar!…

    It gives me great pleasure to announce that the Apache Hadoop community has voted to release Apache Hadoop 2.3.0!

    hadoop-2.3.0 is the first release for the year 2014, and brings a number of enhancements to the core platform, in particular to HDFS.

    With this release, there are two significant enhancements to HDFS:

    • Support for Heterogeneous Storage Hierarchy in HDFS (HDFS-2832)
    • In-memory Cache for data resident in HDFS via Datanodes (HDFS-4949)

    With support for heterogeneous storage classes in HDFS, we now can take advantage of different storage types on the same Hadoop clusters.…

    This blog post originally appeared here and is reproduced in its entirety here.

    HBase is a distributed database built around the core concepts of an ordered write log and a log-structured merge tree. As with any database, optimized I/O is a critical concern to HBase. When possible, the priority is to not perform any I/O at all. This means that memory utilization and caching structures are of utmost importance. To this end, HBase maintains two cache structures: the “memory store” and the “block cache”.…

    With over 230 JIRA tickets resolved, the Apache HBase community released 0.98.0 yesterday which is the next major version after 0.96.x series.

    HBase 0.98.0 comes with an exciting set of new features with keeping the same stability improvements and features on top of 0.96. Additional to usual bug fixes, some of the major improvements include:

    • Reverse Scans (HBASE-4811): for use cases where both forward and reverse iteration is required, HBase now allows to perform scans in reverse mode.

    Hadoop can be a great complement to existing data warehouse platforms, such as Teradata, as it naturally helps to address two key storage challenges:

    The purpose of this article is to detail some of the key integration points and to show how data can be easily exchanged for enrichment between the two platforms.

    As a data integrator who is familiar with RDBMS systems and is new to the Hadoop platform, I was looking for a simple way (i.e.…

    In this post, we will explore how to quickly and easily spin up our own VM with Vagrant and Apache Ambari. Vagrant is very popular with developers as it lets one mirror the production environment in a VM while staying with all the IDEs and tools in the comfort of the host OS.

    If you’re just looking to get started with Hadoop in a VM, then you can simply download the Hortonworks Sandbox.…

    This article originally appeared at Opensource.com and is reproduced here.

    There are rapidly growing feature set, high commit rates, and code contributions happening across the globe to Apache Hadoop and related Apache Software Foundation projects. However, the number of woman developerscommitters, and Project Management Committee (PMC) members in this vast and diversified ecosystem are really diminutive. For the Hadoop project alone, only 5% out of 84 committers are women; and this has been the case for over the past 2 years.…

    I recently sat down with Mahadev Konar and Jeff Sposetti to discuss Apache Ambari v1.4.1. Ambari 1.4.1 is a single framework to provision, manage and monitor clusters based on the Hadoop 2 stack, with YARN and NameNode HA on HDFS.

    Mahadev is one of the original architects of Apache Hadoop, a co-founder of Hortonworks, and a committer on Apache Ambari and Apache ZooKeeper. Jeff is the Hortonworks product manager focused on Apache Ambari and Apache Falcon.…

    I recently sat down with Himanshu Bari to discuss how Apache Ambari will serve as the single point of management for Hadoop 2 clusters integrated with Apache Storm and its real-time, streaming event processing.

    Himanshu discusses Apache Storm’s five key benefits and how those will add to the power and stability of a Hadoop 2 stack, providing analysis of huge data flows from the second data is created and then for decades of historical analysis of that data stored in HDFS.…

    I recently sat down with Devaraj Das and Carter Shanklin to discuss the dramatic improvements delivered in Apache HBase version 0.96 included in HDP 2.0.

    Now HBase runs on Windows and (whether on Linux or Windows) it recovers from failures much more quickly, with dramatic improvements in mean time to recovery (MTTR).

    Devaraj is one of the original architects of Apache Hadoop and Carter is the Hortonworks product manager focused on HBase.…

    Installing the Hortonworks Data Platform 2.0 for Windows is straightforward. Lets take a look at how to install a one node cluster on your Windows Server 2012 R2 machine.

    To start, download the HDP 2.0 for Windows package. The package is under 1 GB, and will take a few moments to download depending on your internet speed. Documentation for installing a single node instance is located here. This blog post will guide you through that instruction set to get you going with HDP 2.0 for Windows!…

    I recently sat down with Owen O’Malley and Carter Shanklin to discuss the dramatic improvements delivered by the Stinger Initiative to version 0.12 of Apache Hive, which is well on its way to being 100x faster than pre-Stinger versions of Hive. That means interactive queries on petabytes of data.

    Owen is one of the original architects of Apache Hadoop and Carter is the Hortonworks product manager focused on Hive. Together, they explain the speed, scale and SQL semantics delivered in Apache Hive v0.12, which is included in Hortonworks Data Platform v2.0.…

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