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From the Dev Team

The components in a modern data architecture vary from one enterprise to the next and the mix changes over time. Many of our Hortonworks subscribers need support ensuring that their Hortonworks Data Platform (HDP) clusters are optimally configured. This means that they need proactive, intelligent cluster analysis. As businesses onboard new workloads to the platform, […]

Apache Hadoop has emerged as a critical data platform to deliver business insights hidden in big data. As a relatively new technology, system administrators hold Hadoop to higher security standards. There are several reasons for this scrutiny: External ecosystem that comprise of data repositories and operational systems that feed Hadoop deployments are highly dynamic and […]

Last week, the Apache Slider community released Apache Slider 0.80.0. Although there are many new features in Slider 0.80.0, few innovations are particularly notable: Containerized application onboarding Seamless zero-downtime application upgrade Adding co-processors to app packages without reinstallation Simplified application onboarding without any packaging requirement Below are some details about these important features. For the […]

Not a day passes without someone tweeting or re-tweeting a blog on the virtues of Apache Spark. At a Memorial Day BBQ, an old friend proclaimed: “Spark is the new rub, just as Java was two decades ago. It’s a developers’ delight.” Spark as a distributed data processing and computing platform offers much of what […]

Apache Spark provides a lot of valuable tools for data science. With our release of Apache Spark 1.3.1 Technical Preview, the powerful Data Frame API is available on HDP. Data scientists use data exploration and visualization to help frame the question and fine tune the learning. Apache Zeppelin helps with this. Based on the concept […]

The Apache Accumulo community has announced its 1.7.0 release. As community’s first major release of 2015, the release represents the culmination of a year of effort from many Accumulo committers and contributors. Apart from many notable changes enumerated below, Accumulo is now well integrated with Apache Ambari. In this release, 43 different individuals fixed 691 […]

SQL is the most popular use case for the Hadoop user community, and Apache Hive is still the defacto standard. Early this week, the Apache Hive community released Apache Hive 1.2.0. Already the third release this year, the Hive developer community continues to improve the release and grow its team, with 11 Hive contributors promoted […]

This is the third post in a series that explores the theme of enabling diverse workloads in YARN.  Our introductory post  to understand the context around all the new features for diverse workloads as part of YARN in HDP 2.2, and a related post on CPU scheduling. Introduction One of the core responsibilities of YARN is monitoring and […]

Kristen Hardwick, Vice President of Big Data Solutions at Spry, Inc is our guest blogger. In this blog, Kristen shares performance analysis during Spryinc’s evaluation of Apache Hive with Tez as a fast query engine. In early 2014, Spry developed a solution that heavily utilized Hive for data transformations. When the project was complete, three […]

With YARN and HDFS at the architectural center, Hadoop has emerged as a key component of any modern data architecture. Today, enterprises utilize Hadoop to store critical datasets and power many of their critical workloads. With this in mind, the services and data within a Hadoop cluster needed to be highly available in face of failures […]

This is the fourth post in a series that explores the theme of enabling diverse workloads in YARN. See the introductory post to understand the context around all the new features for diverse workloads as part of YARN in HDP 2.2. Introduction When it comes to managing resources in YARN, there are two aspects that we, […]

Historically, the strength of a platform lies in the abilities of developers to learn, try, and build against the platform APIs and capabilities. As Apache Hadoop matures as a platform, it’s the creativity and efforts of the developer community that is driving the innovation that makes Hadoop a vibrant and impactful foundation of a modern […]

With Apache Hadoop YARN as its architectural center, Apache Hadoop continues to attract new engines to run within the data platform, as organizations want to efficiently store their data in a single repository and interact with it in different ways. As YARN propels Hadoop’s emergence as a business-critical data platform, the enterprise requires more stringent […]

Two weeks ago, Apache ORC became an Apache top-level project within the Apache Software Foundation (ASF). This step represents a major step forward for the project, and it is representative of its momentum been built by a broad community of developers. What is ORC and why is it useful? Back in January 2013, we created […]

This is the 3rd post in a series that explores the theme of supporting rolling-upgrades & downgrades of a Hadoop YARN cluster. See the introductory post here. Background and Motivation Before HDP 2.2, Hadoop MapReduce applications depended on MapReduce jars being deployed on all the nodes in a cluster. The java classpath of all the […]