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Today we are proud to announce the delivery of Apache Ambari 1.4.1. Ambari 1.4.1 combines many months of work in the community advancing the Ambari codebase. Over 760 JIRAs have been resolved since the Ambari 1.2.5 release. We would like to thank the nearly 40 engineers who contributed to help make this release possible.

Hello Hadoop 2, Meet Apache Ambari
The most important addition to Ambari 1.4.1 is support for installing, managing and monitoring a cluster based on the Hadoop 2 stack.…

The Hortonworks HBase team is excited to see HBase 96 released.  It represents a broad community effort and massive amount of work that has been building for more than a year.

HBase 96 closes out over 2000 issues (2134 Jira tickets to be exact) and it represented the collective work from a VERY active community. Kudos to everyone involved! As the authors in a recent Apache blog alluded to, the HBase community is very healthy and includes developers from many companies including Hortonworks, Yahoo!, Cloudera, Salesforce, eBay, Intel, and Facebook, just to name just a few.…

This post’s Principal Author: Ming Ma, Software Development Manager, eBay.  With contribution from Mayank Bansal (eBay), Devaraj Das (Hortonworks), Nicolas Liochon (Scaled Risk), Michael Weng (eBay), Ted Yu (Hortonworks), John Zhao (eBay)

eBay runs Apache Hadoop at extreme scale, with tens of petabytes of data. Hadoop was created for computing challenges like ours, and eBay runs some of the largest Hadoop clusters in existence.

Our business uses Apache HBase to deliver value to our customers in real-time and we are sensitive to any failures because prolonged recovery times significantly degrade site performance and result in material loss of revenue. …

Today, we are pleased to announce our strategic alliance between Hortonworks and SAS. Through this alliance we are committing to expand the integration between the SAS business analytics and data management capabilities and the Hortonworks Data Platform (HDP).

By better integrating SAS Business Analytics and HDP, SAS users can easily incorporate Hadoop as a component of their data architecture to capture, process and analyze data of any type and scale. This allows businesses to leverage powerful SAS analytic and data management capabilities across massive data sets, including new data sources that previously could not be captured and analyzed.…

An important tool in the Hadoop developer toolkit is the ability to look at key metrics for a MapReduce job – to understand the performance of each job and to optimize future job runs.

In this blog article, we’ll explore how HDP 2.0 stores and provides insight into the performance of a MapReduce job on YARN.

Change from MapReduce v1 and HDP 1.x

In MapReduce-v2 on YARN in HDP 2.0, the JobTracker no longer exists.…

I’m thrilled to note that the Apache Hadoop community has declared Apache Hadoop 2.x as Generally Available with the release of hadoop-2.2.0!

This represents the realization of a massive effort by the entire Apache Hadoop community which started nearly 4 years to date, and we’re sure you’ll agree it’s cause for a big celebration. Equally, it’s a great credit to the Apache Software Foundation which provides an environment where contributors from various places and organizations can collaborate to achieve a goal which is as significant as Apache Hadoop v2.…

Apache Storm and YARN extend Hadoop to handle real time processing of data and provides the ability to process and respond events as they happen. Our customers have told us many use cases for this technology combination and below we present a demo example complete with code so you can try it yourself.

For the demo below, we used our Sandbox VM which is a full implementation of the Hortonworks Data Platform.…

Hortonworks will be making a preview of Apache Storm integration available in Q4 of this year and will be including Apache Storm in the Hortonworks Data Platform in first half of 2014.

Any time now, the Apache Hadoop community will declare the General Availability of Hadoop 2.0 which includes the much anticipated Apache Hadoop YARN.  The YARN-based architecture of Hadoop 2 is the most significant change to Hadoop introduced in the past six years and enables Hadoop to expand from a single-purpose, batch-oriented data platform based on MapReduce into a truly multi-purpose platform supporting a wide range of data processing approaches.…

As part of a modern data architecture, Hadoop needs to be a good citizen and trusted as part of the heart of the business. This means it must provide for all the platform services and features that are expected of an enterprise data platform.

The Hadoop Distributed File System is the rock at the core of HDP and provides reliable, scalable access to data for all analytical processing needs. With HDP 2.0, built into the platform itself, HDFS now has automated failover with a hot standby, with full stack resiliency.…

Security is one of the biggest topics in Hadoop right now. Historically Hadoop has been a back-end system accessed only by a few specialists, but the clear trend is for companies to put data from Hadoop clusters in the hands of analysts, marketers, product managers or call center employees whose numbers could be in the hundreds or thousands. Data security and privacy controls are necessary before this transformation can occur. HDP2, through the next release of Apache Hive introduces a very important new security feature that allows you to encrypt the traffic that flows between Hadoop and popular analytics tools like Microstrategy, Tableau, Excel and others.…

On October 16, we’ve been invited to join our partner SAP to talk Big Data and how the integrated SAP HANA + Hadoop approach can solve your big data challenges. This chat will be a live Google Hangout with:

  • Irfan Khan, SVP & GM SAP Global Big Data at SAP (@i_kHANA)
  • Ari Zilka,  CTO at Hortonworks (@ikarzali)
  • Timo Elliot, Innovation Evangelist at SAP (@timoelliott)

When: Wednesday, October 16, 8am PT / 11am ET / 5pm CET…

We’re continuing our series of quick interviews with Apache Hadoop project committers at Hortonworks.

This week Mahadev Konar discusses Apache ZooKeeper, the open source Apache project that is used to coordinate various processes on a Hadoop cluster (such as electing a leader between two processes).

Mahadev was on the team at Yahoo! in 2006 that started developing what became Apache Hadoop. He has been involved with Apache ZooKeeper since 2008, when the project was open sourced.…

A crucial requirement of any enterprise technology is to ensure simplest possible management and operation. We think that simplicity means two things: 1) integration with existing infrastructure and tools and 2) leveraging existing knowledge and skills.

Download the beta release of Ambari SCOM Management Pack here.

Ambari (http://incubator.apache.org/ambari/) was introduced as an Apache incubator project with the aim of developing the best management tool for Hadoop applying our principles of open source community development for rapid innovation and solving the right problems for enterprises.…

Thanks to all those who joined in person and virtually for the Apache Ambari Meetup at Hortonworks this week. We talked tech, we saw demos, we laughed, we cried, we ate pizza.

The central theme of the night was the newly added support for Hadoop 2. Ambari now has:

  • Hadoop 2 Stack: Ambari adds support for installing, managing and monitoring a Hadoop 2 Stack.
  • NameNode HA: Configure NameNode High Availability based on QJM support built-into HDFS2
  • YARN: Ambari manages YARN Service lifecycle and automatically deploys the MapReduce2 framework.

YARN and the Hortonworks Data Platform 2.0 enables one Hadoop cluster to share data and analytical processing capabilities across the Enterprise organization. Organizations can use the Hortonworks Data Platform 2.0 to:

  • Pool all enterprise data into one scalable and reliable storage platform
  • Enable all analytical processing IN the data platform
  • Provide access to this data and processing across all business units

The Capacity Scheduler (CS) ensures that groups of users and applications will get a guaranteed share of the cluster, while maximizing overall utilization of the cluster.…

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