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From the Dev Team

Apache Ambari 2.0 User Views introduce two functional tools to help you understand and optimize your cluster resources to get the best performance in a multitenant Hadoop environment. Tez View: Understand and Optimize Jobs in your Cluster The Tez View gives you visibility into all the jobs on your cluster, allowing you to quickly identify […]

It is that time of the year again! Annual Apache HBase conference, HBaseCon 2015, is around the corner, and as always, it is packed with action and illuminating talks. The conference is this Thursday, May 7th. As in the previous years, there will be 4 tracks covering Operations, Internals, Ecosystem and Use Cases. Here are […]

This is the third post in a series that explores the theme of supporting rolling-upgrades & downgrades of a Hadoop YARN cluster. See here for an introductory post. Introduction Carrying out a rolling upgrade/downgrade of all nodes in a Hadoop cluster can be a very disruptive process. Before HDP 2.2, if a NodeManager (NM) were […]

We at Hortonworks live by a few core principles: Innovate at the core of Hadoop Make Hadoop be an Enterprise Class Data Platform Do it all in open source Enable the ecosystem Our vision of “Hadoop Everywhere” is shared by our partner community who bring their industry expertise, unique software value-add and passion for customer […]

The Apache Hadoop community is happy to announce the release of Apache Hadoop 2.7.0! We want to express our gratitude to every contributor, reviewer and committer. The Hadoop community fixed 923 JIRAs in total as part of the 2.7.0 release. Of the 923 fixes: 259 were in Hadoop Common 350 were in HDFS 253 were […]

Introduction Apache Spark is a fast, in-memory data processing engine with elegant and expressive development APIs in Scala, Java, and Python that allow data workers to efficiently execute machine learning algorithms that require fast iterative access to datasets. Spark on Apache Hadoop YARN enables deep integration with Hadoop and other YARN enabled workloads in the […]

Enterprises across all major industries adopt Apache Hadoop for its ability to store and process an abundance of new types of data in a modern data architecture. This “Any Data” capability has always been a hallmark feature of Hadoop, opening insight from new data sources such as clickstream, web and social, geo-location, IoT, server logs, […]

Hortonworks is pleased to announce the general availability of Apache Spark in Hortonworks Data Platform (HDP)— now available on our downloads page. With HDP 2.2.4 Hortonworks now offers support for your developers and data scientists using Apache Spark 1.2.1. HDP’s YARN-based architecture enables multiple applications to share a common cluster and dataset while ensuring consistent […]

Hortonworks Data Platform (HDP) provides centralized enterprise services for comprehensive security to enable end-to-end protection, access, compliance and auditing of data in motion and at rest. HDP’s centralized architecture—with Apache Hadoop YARN at its core—also enables consistent operations to enable provisioning, management, monitoring and deployment of Hadoop clusters for a reliable enterprise-ready data lake. But […]

The recent post by Jayush Luniya announced the community release of Apache Ambari 2.0. One of the three key Ambari features that Jayush discussed was Rolling Upgrades, enabling Hadoop operators to upgrade from one version of HDP to the next, with minimal disruption to the cluster. The Hortonworks development team worked long and hard to […]

This is the third post in a series exploring recent innovations in the Hadoop ecosystem that are included in Hortonworks Data Platform (HDP) 2.2. In this post, we introduce the theme of supporting rolling upgrades and downgrades of a HDFS cluster. See this previous post for an introduction on enterprise-grade rolling upgrades in HDP 2.2. […]

Advances in Hadoop security, governance and operations have accelerated adoption of the platform by enterprises everywhere. Apache Ambari is the open source operational platform for provisioning, managing and monitoring Hadoop clusters from a single pane of glass, and with the Apache Ambari 1.7.0 release last year, Ambari made it far easier for enterprises to adopt […]

Hortonworks is excited to announce that our first hands-on, performance based certification exam is now available! The HDP Certified Developer (HDPCD) exam is designed for Hadoop developers working with frameworks like Pig, Hive, Sqoop and Flume. This new approach to Hadoop certification is designed to allow individuals an opportunity to prove their Hadoop skills in […]

This three part series is co-authored by Ofer Mendelevitch, director of data science at Hortonworks, and Jiwon Seo, Ph.D. and research assistant at Stanford University. Introduction This is the third part of the blog-post series about anomaly detection from healthcare data. In part 1, we described the dataset, the business use-case and our general approach […]

Apache Ambari is the only 100% open source management and provisioning tool for Apache Hadoop. Recent innovations of Apache Ambari have focused on opening Apache Ambari into a pluggable management platform that can automate cluster provisioning, deploy 3rd party software and provide custom operational and developers’ views to the end user. Join us Thursday March […]