The Hortonworks Blog

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.

Actuate is a Hortonworks Technology Partner and founded and co-leads the BIRT open source project, which is used by more than 2.5 million developers around the globe and serves as the foundation of Actuate’s commercial offerings. Applications built with BIRT and BIRT iHub deliver more business and consumer insights to more people than all BI companies combined. 

The deployment of Big Data architectures has become more prevalent as organizations realize the power of what Big Data can bring to their businesses and to their profitability. …

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.…

Ever since I was a kid, I’ve used memorable movie quotes to help people understand a key point in a way that lightens the mood and generates some laughs. If you’re going to work hard, you gotta have fun, right???

“Don’t make me angry… you wouldn’t like me when I’m angry”

The big data market is rife with aspirational marketing misinformation, which among other things causes customer confusion, slows the path to value, and frankly, makes me a little angry.…

With the growing number of large-scale enterprise deployments of big data, certain limitations have become more apparent bringing to light some weaknesses in this first phase of analytics infrastructures.  Hadoop, clearly a very valuable tool for the collection of unstructured data, poses some challenges that need to be overcome for wide spread successful enterprise adoption.

In our upcoming webinar on Tuesday Feb 19 at 10 am PT, we will address these issues and highlight how to solve them using Hortonworks Data Platform and our partner Actian.…

The Call For Abstracts for Hadoop Summit San Jose closes this Friday (2/14).  So far, we have received hundreds of amazing submissions from a wide range of contributors but we want more.

This year is shaping up to be our biggest and best show and we are working hard to make sure the content is awesome.  In order to make sure content is king at this show, we have assembled some of the brightest in the Hadoop industry to serve as Track Chairs and they are assembling some rock star committees as well. …

Earlier this week Microsoft announced via their blog that a new version of Windows Azure HDInsight is available in public preview.

Microsoft recognizes the importance of the technical innovation in and around YARN as well as Hortonworks leadership in this area and we have worked collaboratively to bring Hadoop 2.2 to Azure via our Hortonworks Data Platform 2.0 for Windows release.

Apache Hadoop YARN is the data operating system for Hadoop and greatly expands the applications possible of this emerging technology by allowing multiple processing frameworks such as streaming or graph processing to plug in natively.…

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

We’ve probably all heard the famous quote by John Wanamaker, the father of modern advertising: “Half the money I spend on advertising is wasted; the trouble is, I don’t know which half.”

Wanamaker would love Apache Hadoop for retail applications, because it diminishes (or eliminates) the dilemma he described.…

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