The Hortonworks Blog

This is the seventh in our series on modern data architectures across industry verticals. Others in the series are:

Any financial services business cares about minimizing risk and maximizing opportunity. Banks weigh the risk of opening accounts versus the opportunity to hold deposits.…

Luminar is one of Hortonworks’ original customers. Apache Hadoop is a pillar of their modern data architecture, and since choosing Hortonworks in 2012, the Luminar team became expert users of Hortonworks Data Platform version 1.

They were eager to migrate to HDP2 after it launched in October 2013.

I recently spoke with Juan Manuel Alonso, Luminar’s Manager of Insights. Juan Manuel worked with the Hortonworks professional services team to plan and execute the migration from HDP1 to HDP2.…

We love to hear examples from the ecosystem of how organizations are benefiting from Hadoop and today Hortonworks partner Microsoft posted a great detailed case study on how one of their partners – Ascribe – is using Microsoft’s HDInsight Service, their cloud based 100% Apache Hadoop service to transform healthcare in the UK.

Ascribe is a UK based company focused on solutions for the healthcare industry and was an early adopter of HDInsight which is built using the Hortonworks Data Platform.…

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.
  • The Apache Software Foundation (ASF) provides valuable stewardship and guide-rails for projects interested in attracting the broadest community of involvement as possible, especially across a wide range of vendors and end users. While the ASF’s role is not about guaranteeing wild success for every project, they do a great job of providing a place where the broadest community of people, ideas, and code can come together and raise an elephant, so to speak.…

    This is the sixth in our series on modern data architectures across industry verticals. Others in the series are:

    The United States is enjoying resurgent fossil fuel production. In fact, the International Energy Agency estimates that by 2016, the U.S. will surpass Saudi Arabia and Russia to become the world’s largest oil producer.…

    We are delighted to host this is a guest blog from John Schitka at SAP.

    Join us on March 12 to learn how SAP HANA and Hortonworks Data Platform combine to help you achieve Instant Insight and Infinite Scale – Register Here 

    Big Data is changing our world – enabling previously impossible insights and transforming the way we do business, work with others, and live our lives. To be competitive you need to lever Big Data and the business value it brings.…

    Compuware is a Hortonworks Technology Partner and this week announced the availability of the newest release of APM for Big Data.  This release provides enhanced support for Hadoop 2.0 and Hortonworks Data Platform (HDP) 2.0

    Compuware’s APM for Big Data now provides greater visibility into Hadoop job details with out-of-the-box dashboards that require no configuration. The graphical dashboards expand insight and ease of analyzing Hadoop deployments.  With the Hadoop focused dashboards, customers can get information about any Hadoop cluster and summarized overviews of cluster utilization across users, jobs, pools, queues and more.…

    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!…

    Today, the Forrester WaveTM: Big Data Hadoop Solutions, Q1 2014 was published by Forrester Research and while not surprised, we are delighted that this leading analyst firm recognized us as a clear leader in the Hadoop market. We could not be prouder of our unwavering strategy and hard work that is propelling us to the forefront of this burgeoning Hadoop market.

    Download and review the report here.

    Forrester evaluated nine vendors across a range of criterion from strategy to product and market presence and we scored a very balanced report across all categories and are way “up and to the right”.…

    This is the fifth in our series on modern data architectures across industry verticals. Others in the series are:

    Consumers have never generated so much data on how they research, discuss and buy products. This new data is valuable for shaping and promoting a brand or product, but it doesn’t line up neatly to fit in pre-defined, tabular formats.…

    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.…

    Hadoop Summit Europe in Amsterdam is approaching fast. From Falcons to Pigs, we have a menagerie of meetups covering all things Hadoop – all with fantastic speakers. This year, we’re also delighted to expand the discussion with meetups from Splunk, SAS and Revolution Analytics.

    You can sign up for any and all of the meetups below and remember these are open to everyone to attend.

    Tuesday, April 1st

    At the Krasnapolsky Hotel, from 5pm onwards:

    • Reception and Cocktails.

    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.

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