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December 13, 2017 | Shelby Khan | Announcements

Top Hortonworks Blogs from 2017

December 12, 2017 | Piet Loubser | Hortonworks Case Study

Modernizing Your Data Architecture – Webinar Highlights

December 11, 2017 | Matt Spillar | Hortonworks Case Study

Top 11 Customer Stories from 2017

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Guest author Nagapriya Tiruthani, Offering Manager, IBM Big SQL, IBM Why Big SQL? Enterprise Data Warehousing (EDW) emerged as a logical home for all enterprise data that captures the essence of all enterprise systems. But in recent years, there’s been an explosion of data being captured from social media, sensors, etc. This rapid growth has put […]

Thank you for reading part 1 of a 2 part series for how to update Hive Tables the easy way.  This is part 2 of the series. Managing Slowly Changing Dimensions In Part 1, we showed how easy it is update data in Hive using SQL MERGE, UPDATE and DELETE. Let’s take things up a notch […]

This is part 1 of a 2 part series for how to update Hive Tables the easy way Historically, keeping data up-to-date in Apache Hive required custom application development that is complex, non-performant and difficult to maintain. HDP 2.6 radically simplifies data maintenance with the introduction of SQL MERGE in Hive, complementing existing INSERT, UPDATE […]

Hive / Druid integration means Druid is BI-ready from your tool of choice This is Part 3 of a Three-Part series (Part 1, Part 2) of doing ultra fast OLAP Analytics with Apache Hive and Druid. Connect Tableau to Druid Previously we talked about how the Hive/Druid integration delivers screaming-fast analytics, but there is another, even […]

This is part 1 of a three-part (Part 2, Part 3) series of doing Ultra Fast OLAP Analytics with Apache Hive and Druid. Unlock Sub-Second SQL Analytics over Terabytes of Data with Hive and Druid Modern corporations are increasingly looking for near real time analytics and insights to make actionable decisions. To fuel this, this […]

This is a guest blog post by Charles Boicey, Chief Innovation Officer at Clearsense. Clearsense was born out of a passion for helping healthcare organizations realize the promise of their data and its ability to help them make better, faster clinical decisions—to meet the challenges of value-based care, drive research, improve patient care, and ultimately […]

HDP 2.6 takes a huge step forward toward true data management by introducing SQL-standard ACID Merge to Apache Hive. As scalable as Apache Hadoop is, many workloads don’t work well in the Hadoop environment because they need frequent or unpredictable updates. Updates using hand-written Apache Hive or Apache Spark jobs are extremely complex.  Not only […]

Now Generally Available in HDP 2.6 Hive LLAP (Low Latency Analytical Processing) is Hive’s new architecture that delivers MPP performance at Hadoop scale through a combination of optimized in-memory caching and persistent query executors that scale elastically within YARN clusters. Hive LLAP — MPP Performance at Hadoop Scale   Since Hive LLAP was introduced as […]

We recently hosted a webinar on the newest features of Hortonworks DataFlow 2.0 highlighting: the new user interface new processors in Apache NiFi Apache NiFi multi-tenancy Apache NiFi zero master clustering architecture Apache MiNiFi One of the first things you may have noticed in Hortonworks DataFlow 2.0 is the new user interface based on Apache […]

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 […]

Hadoop Summit San Jose, is just around the corner. I am amazed at the depth and breadth of the technical sessions and was looking at the Application Development track: Application Development YARN has transformed Hadoop into a multi-tenant data platform. It is the foundation for a wide range of processing engines that empowers businesses to […]