Hadoop Ecosystem

Industry news, partner stories, buzz and happenings

Recently the Oracle Data Integrator products were certified on the Hortonworks Data Platform version 2.1 and we’re delighted to be working more closely with Oracle engineering on these kinds of efforts. We’re happy to bring this guest blog to you today, written by Alex Kotopoulis, Product Manager, Oracle Data Integration for Big Data, at Oracle to discuss the recent integration and certification initiatives. You can learn more by joining our webinar on November 11, register here.…

Back in September, we presented a 3-part webinar series on our collaborations with Red Hat. Close to a thousand registrants and attendees participated and provided rich interaction to our series. The content included an overview of our strategic partnership, demonstrated a couple of demos, and provided tutorials to get you started on your Big Data journey with Red Hat and Apache Hadoop.

In this blog, Kenneth Peeples, JBoss technology evangelist and principal marketing manager for Data Virtualization and Fuse Service Works at Red Hat, recaps the webinar series and offers insights into JBoss Data Virtualization and HDP.…

On October 15 we announced that we would support Apache Hadoop as an Infrastructure as a Service (IaaS) on Microsoft Azure. This made us the first Hadoop vendor to give customers and prospects access to that flexible and scalable cloud infrastructure for their big data deployments.

This guide walks you through using the Azure Gallery to quickly deploy Hortonworks Data Platform (HDP) clusters on Microsoft Azure IaaS.

What you need is:

  • A Microsoft Azure account
  • That’s it!

Arsalan Tavakoli-Shiraji, customer engagement lead overseeing business development activities at Databricks, is our guest blogger today. In this blog, he discusses our expanded partnership built around Apache Spark on Apache Hadoop in three areas: customers, engineering, and open source.

Today Databricks and Hortonworks are announcing an expanded partnership built around Apache Spark; allow me to explain why we’re thrilled to be embarking on this journey with them.

When we started Databricks last summer, Apache Spark was in the early stages of enterprise adoption.…

Exponential increases in data volumes have forced the data architect and analyst to build much larger and distributed data environments — potentially comprised of hundreds, and sometimes even thousands of servers and switches. Scaling to these cluster sizes does not come without challenges in terms of costs, security and integration with existing infrastructure.

The combination of the Hortonworks Data Platform (HDP) and Cisco UCS allows IT departments and business decisions makers to adopt a new, cost-effective management, massively scalable and secure approach to data within the enterprise.…

As a Hortonworks Certified Technology Partner, Nimble Storage delivers solutions that help enterprises scale their Big Data solutions, simply and cost-effectively. Ibby Rahmani, Nimble’s product and solutions marketing manager, is our guest blogger. He discusses the importance of certification for Nimble and Hortonworks customers.

Recently, Nimble Storage proudly announced our partnership with Hortonworks, and the certification of Nimble’s Adaptive Flash solutions on HDP. Nimble offers an exceptional return on investment (ROI) for the Hortonworks Data Platform (HDP), offering accelerated performance, capacity efficiency, integrated data protection in solutions that are easy to deploy, operate and maintain.…

Joe Travaglini, director of product marketing at Sqrrl and Ely Kahn, vice president of business development at Sqrrl, are our guest bloggers. They explain Sqrrl’s integration with Hortonworks Data Platform (HDP).

There Is No Secure Perimeter

With the dawn of phenomena such as Cloud Computing and Bring Your Own Device (BYOD), it is no longer the case that there is a well-defined perimeter to secure and defend. Data is able to flow inside, outside, and across your network boundaries with limited interference from traditional controls.…

More and more enterprises are looking to the cloud as a place to handle a variety of their data processing and backup needs. Apache Hadoop lends itself to running in cloud environments because of the alignment around scalability and flexibility for compute and storage offered with today’s cloud infrastructures. Today, we are excited to announce that the Hortonworks Data Platform (HDP) is the first platform to be certified to run on Azure Infrastructure as a Service.…

Apache Hadoop has taken a mission critical role in the Modern Data Architecture (MDA) with the advent of Apache Hadoop YARN. YARN has enabled enterprises to store and process data across many execution engines at a scale that has not been possible earlier. This in turn has made security a crucial component of enterprise Hadoop. At Hortonworks we have broken the problem of enterprise security into four key areas of focus: authentication, authorization, auditing and data protection.…

Today we announced an alliance agreement with Avanade, a business technology, cloud and managed services provider, to build new big data solutions and services based on Microsoft technologies. Avanade’s data analytics deployments for enterprise clients with Microsoft Windows Server and Azure environments will turn to Hortonworks Data Platform (HDP) on Windows and Microsoft Azure HDInsight – Microsoft’s 100 percent Apache Hadoop-based service in the Azure cloud.

Together, Hortonworks and Avanade will help customers with their journey to a Modern Data Architecture on Windows.…

Hortonworks and VMware have been working jointly for more than two years. We worked with VMware on the initial launch of Serengeti, on Apache Hadoop High Availability and on projects to do with validating and performance testing the Hortonworks Data Platform (HDP) software on the VMware vSphere platform. One of the results of this activity is that HDP has been a fully certified product on VMware vSphere version 5.1 and later.…

SequenceIQ is a new Hortonworks Technology Partner and recently achieved HDP and YARN Ready certification for Cloudbreak, the SequenceIQs Hadoop as a Service API. In this guest blog, SequenceIQ Co-founder and CTO Janos Matyas (@sequenceiq), describes provisioning and autoscaling HDP cluster with Cloudbreak.

During our daily work at SequenceIQ, we are provisioning HDP clusters on different environments. Be it for a random cloud provider or on bare metal, we were looking for a common solution to automate and speed up the process.…

Heading to Strata next week? Interested in learning more about Apache Hadoop and how to integrate your existing infrastructure and applications with your Big Data solution? Join our partner presentations at the Hortonworks booth #117, on Thursday, October 16 and Friday, October 17. Many of the sessions will feature demonstrations.

You will hear directly from partners who are embracing 100% open source Apache Hadoop, including: Actian, CISCO, CSC, HP, Informatica, Microsoft, Red Hat, Revolution Analytics, SAP, SAS, and Teradata.…

Today’s guest blog comes from Matt Davies at Splunk, where he is the Director of Marketing.

You can’t really escape the fact that we’re in the age of the customer. From CRM to the “long tail” to multi-channel to social media brand sentiment to Net Promoter Scores – it is all about customer experience. Big Data has an important part to play – no great revelation there but how do you actually do it?…

Syncsort is a certified Hortonworks Technology and YARN Ready Partner and our guest blogger. Here, Tendu Yogurtcu, vice president of engineering at Syncsort, expands on Syncsort’s recent news about their integration of DMX-h and Ambari.

As Apache Hadoop YARN has transformed Hadoop from being a data processing solution to being a true data processing platform, requirements for provisioning, managing, and securing the platform have changed dramatically.

Stability, security, easy deployment, performance, management and monitoring are among many of the key attributes that make a data management platform enterprise-grade.…