The Hortonworks Blog

More from Tim Hall

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 explain cloud provisioning, proactive support, and other general improvements across the platform.

Automated Provisioning with Cloudbreak

Since Hortonworks’ acquisition of SequenceIQ, the integrated team has been working hard to complete the deployment automation for public clouds including Microsoft Azure, Amazon EC2, and Google Cloud.…

On July 22nd, we introduced the general availability of HDP 2.3. In part 2 of this blog series, we explore notable improvements and features related to Data Access.

We are especially excited about what these data access improvements mean for our Hortonworks subscribers.

Russell Foltz-Smith, Vice President of Data Platform, at TrueCar summed up the data access impact to his business using earlier versions of HDP, and his enthusiasm for the innovation in this latest release:

TrueCar is in the business of providing truth and transparency to all the parties in the car-buying process,” said Foltz-Smith.…

We are very pleased to announce that Hortonworks Data Platform (HDP) Version 2.3 is now generally available for download. HDP 2.3 brings numerous enhancements across all elements of the platform spanning data access to security to governance. This version delivers a compelling new user experience, making it easier than ever before to “do Hadoop” and deliver transformational business outcomes with Open Enterprise Hadoop.

As we announced at Hadoop Summit in San Jose, there are a number of significant innovations as part of this release including:

HDP 2.3 represents the very latest innovation from across the Hadoop ecosystem.…

Over the past two quarters, Hortonworks has been able to attract over 200 new customers. We are attempting to feed the hunger our customers have shown for Hadoop over the past two years. We are seeing truly transformational business outcomes delivered through the use of Hadoop across all industries. The most prominent use cases are focused on:

  • Data Architecture Optimization – keeping 100% of the data at up to 1/100th of the cost while enriching traditional data warehouse analytics
  • A Single View of customers, products, and supply chains
  • Predictive Analytics – delivering behavioral insight, preventative maintenance, and resource optimization
  • Data Discovery – exploring datasets, uncovering new findings, and operationalizing insights

What we have consistently heard from our customers and partners, as they adopt Hadoop, is that they would like Hortonworks to focus our engineering activities on three key themes: Ease of Use, Enterprise Readiness, and Simplification.…

Today we’re delighted to announce our acquisition of SequenceIQ. This acquisition, expected to close in Q2, will accelerate our ability to provide deployment automation for Enterprise Hadoop across public and private clouds. Please join us in welcoming the SequenceIQ team to the Hortonworks family!

Enterprises are embracing Apache Hadoop to enable their modern data architectures and power new analytic applications. The freedom to choose the on-premises or cloud environments for Hadoop that best meets the business needs is a critical requirement.…

Hortonworks Data Platform Version 2.2 represents yet another major step forward for Hadoop as the foundation of a Modern Data Architecture. This release incorporates the last six months of innovation and includes more than a hundred new features and closes thousands of issues across Apache Hadoop and its related projects.

Our approach at Hortonworks is to enable a Modern Data Architecture with YARN as the architectural center, supported by key capabilities required of an enterprise data platform — spanning Governance, Security and Operations.…

Hortonworks’ strategy, since our inception, has been extremely consistent: enable a modern data architecture whereby users have the ability to store data in a single location and interact with it in multiple ways – using the right data processing engine at the right time.  At the core of that strategy is YARN, which as a part of Apache Hadoop, allows multiple data processing engines to interact with data stored in a single platform, unlocking an entirely new approach to analytics.…

Today we’re delighted to announce our acquisition of XA Secure to provide comprehensive security capabilities for Enterprise Hadoop. Please join us in welcoming XA Secure to the Hortonworks family.

Register for the Webinar

Hortonworks Data Platform has seen phenomenal adoption across an ever-growing number of organizations. As part of that adoption, and thanks to Apache Hadoop YARN, businesses are moving from single-purpose Hadoop clusters to a versatile, integrated data platform hosting multiple business applications – combining data sets with diverse processing needs in one place.…

Hadoop 2 and its YARN-based architecture has increased the interest in new engines to be run on Hadoop and one such workload is in-memory computing for machine learning and data science use cases. Apache Spark has emerged as an attractive option for this type of processing and today, we announce availability of our HDP 2.1 Tech Preview Component of Apache Spark.  This is a key addition to the platform and brings another workload supported by YARN on HDP.…