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October 19, 2017 | Shelby Khan | Dataworks Summit

7 Sessions From DataWorks Summit Sydney You Should See

October 18, 2017 | Kevin Jordan | Hortonworks Case Study

How Much Can You Trust Your Big Data?

October 16, 2017 | Matt Spillar | Hortonworks Case Study

Leveraging Data to Make Decisions in Financial Services

Viewing posts by: Mark Harring« Back to all

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The world’s top authorities on Apache Hadoop convene at Hadoop Summit San Jose and one of the top questions that will be answered will be around the future and direction of Hadoop. Sanjay Radia – Founder and Architect, Hortonworks lead the track which selected 13 sessions around this topic. I asked Sanjay what he hoped would […]

In this Hortonworks’ partner guest blog, Abhimanyu Aditya, Senior Product Manager and co-founder at Skytree, explains how Skytree APIs solve challenges facing data engineers, simplifies data preparation and data transformation, using Apache Spark on YARN with Hortonworks Data Platform (HDP). Challenges Facing Data Engineers and Data Scientists Machine learning as a technology can be challenging. […]

Last week, on July 22nd, we announced the general availability of HDP 2.3. Of the three part blog series, the first blog summarized the key innovations in the release—ease of use & enterprise readiness and how those are helping deliver transformational outcomes—while the second blog focused on data access innovation. In this final part, we […]

As YARN drives Hadoop’s emergence as a business-critical data platform, the enterprise requires more stringent data security capabilities. The Apache Ranger delivers a comprehensive approach to security for a Hadoop cluster. It provides a platform for centralized security policy administration across the core enterprise security requirements of authorization, audit and data protection. On June 10th, […]

Introduction Multihoming is the practice of connecting a host to more than a single network. This is frequently used to provide network-level fault tolerance – if hosts are able to communicate on more than one network, the failure of one network will not render the hosts inaccessible. There are other use cases for multi-homing as […]

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 […]

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 […]

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 […]

Argyle Data is a Hortonworks Technology Partner and recently certified on the Hortonworks Data Platform (HDP), and was awarded the OPS Ready badge for their integration with Apache Ambari. Here, Dr. Ian Howells talks about how Argyle Data is helping customers detect fraud faster with their native Hadoop application. We believe that the world is […]

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 […]

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. […]

Apache Hive is the de facto standard for SQL in Hadoop with more enterprises relying on this open source project than any other alternative. Stinger.next, a community based effort, is delivering true enterprise SQL at Hadoop scale and speed. With Hive’s prominence in the enterprise, security within Hive has come under greater focus from enterprise […]

The Apache HBase community has released Apache HBase 1.0.0. Seven years in the making, it marks a major milestone in the Apache HBase project’s development, offers some exciting features and new API’s without sacrificing stability, and is both on-wire and on-disk compatible with HBase 0.98.x. In this blog, which is a cross post from from […]

This is a unique moment in time. Fueled by open source, Apache Hadoop has become an essential part of the modern enterprise data architecture and the Hadoop market is accelerating at an amazing rate. The impressive thing about successful open source projects is the pace of the “release early, release often” development cycle, also known […]

This is the second post in a series that explores recent innovations in the Hadoop ecosystem that are included in HDP 2.2. In this post, we introduce the theme of running service-workloads in YARN to set context for deeper discussion in subsequent blogs. HDP 2.2 brings substantial innovations in Apache Hadoop YARN, enabling users of […]