The Hortonworks Blog

Posts categorized by : Hadoop in the Enterprise

We’re delighted to announce that our Hadoop 2.0 Courseware is available now!

According to a 2013 Education Services Bench Mark Study conducted by The Technology Services Industry Association, “the lag time between product and Instructor Lead Content release is 68 business days, or more than three months” but not at Hortonworks!  All of our Developer Courses and Certifications are now based on Apache Hadoop 2.0 and available at the same time as the Hortonworks Data Platform 2.0.…

One of the great things about working in open source development is working with other experts round the work on big projects – and then having the results of that work in the hands of users within a short period of time.

This is why I’m really excited about the Rackspace announcement of their HDP-based Big Data offerings, both “on-prem” and in cloud. Not just because its partners of us offering a service based on Hadoop, but because it shows how Hadoop integration with OpenStack has reached a point where it’s ready for production use.…

The Apache Knox community announced the release of the Apache Knox Gateway (Incubator) 0.3.0. We, at Hortonworks, are excited about this announcement.

The Apache Knox Gateway is a REST API Gateway for Hadoop with a focus on enterprise security integration.  It provides a simple and extensible model for securing access to Hadoop core and ecosystem REST APIs.

Apache Knox provides pluggable authentication to LDAP and trusted identity providers as well as service level authorization and more.  …

With the attention of the Hadoop community on Strata/Hadoop World in New York this week, it’s seems an appropriate time to give everyone an early update on continued community development of Apache Hive. This progress well and truly cements Hive as the standard open-source SQL solution for the Apache Hadoop ecosystem for not just extremely large-scale, batch queries but also for low-latency, human-interactive queries.

You can catch me at our session ‘Apache Hive & Stinger: Petabyte Scale SQL, IN Hadoop’ along with Owen and Alan where we’ll be happy to dive into more of the details.…

You’re a Java developer, you use Spring and you’re just itching to get your arms around some big data. Well, now you can do that even easier than before as we announced this morning that Spring is now certified for Hortonworks Data Platform.

To celebrate this development, we have a community tutorial for Sandbox (1.3 currently) that shows you how to use Spring XD to collect data streamed from Twitter, load into HDFS and then run simple sentiment analysis with Apache Hive.…

Today we announced the expansion of our strategic relationship with HP enabling HP to resell Hortonworks Data Platform (HDP). As data volumes grow and new data sources emerge it is important for enterprises have access to production ready enterprise Apache Hadoop to meet their big data needs.

With HDP, HP customers can now seamlessly incorporate Hadoop into their modern data architectures to power a variety of new applications and to support existing ones with additional data sources.…

Today our partner Rackspace announced their Big Data solution for dedicated and cloud environments, powered by Hortonworks Data Platform. This collaboration between Hortonworks and Rackspace provides customers a flexible choice of deployment offerings of Apache Hadoop from one of the most trusted vendors in the cloud computing market.

Enterprise adoption of Apache Hadoop

This expanded collaboration is a strong indicator of the ecosystem rallying around Hortonworks Data Platform and our goal at Hortonworks of making Apache Hadoop a core component of the modern data architecture, whether on premise, in a VM, as an appliance, or in the cloud.…

Now that Hortonworks Data Platform 2.0 is GA, you may be looking to migrate your Hadoop stack from another version to take advantage of Hadoop 2’s YARN-based architecture. Fortunately, our Professional Services & Support teams are getting a lot of practice at migration from other distributions as more and more customers turn to 100% enterprise-hardened Apache Hadoop for their big data platform.

While any specific migration may have a few gotchas from a vendor lock-in, or business integration perspective, this high-level process overview is battle tested on large-scale production clusters and we hope it helps you plan for your own migration.…

Behind all the Big Data hype, there is one common thread: Apache Hadoop and its associated components ARE the technology platform of choice. And here at Hortonworks, that’s what we do: Hadoop.

That is also why we are so excited about the incredible growth in customers who have chosen to work with us to ensure their implementation of Hadoop and realize their vision of a modern data architecture.

Here are the key reasons we believe that we can best help your enterprise with Apache Hadoop.…

Today our strategic partner Microsoft announced the General Availability of HDInsight Service: the Azure based enterprise Hadoop cloud service is now ready for production workloads! We are excited to see this service move into general availability as a key milestone in a longstanding engineering partnership between our two organizations.

Application Portability: Deploy Hadoop On-Premise and/or Scale with the Cloud

With HDP for Windows and HDInsight Service there is unprecedented choice for Windows enterprises for their Hadoop deployments.…

Whew, what a couple of week it had been! We released Hortonworks Data Platform 2.0 to much excitement from our customers, partners and the community at large. With HDP 2.0 and its YARN-based architecture delivered, enterprises can finally realize the vision of gathering all data in Hadoop and interacting with that data in ways that was previously not possible!

We are carrying forward that ebullience through to O’Reilly Strata Conference in New York!…

What a difference a year makes! Last Fall Ambari was a nascent Apache project that had recently shipped an inaugural release in the community. Fast forward a bit, at the beginning of this year Ambari shipped what has become the foundation for rapid innovation. Now Ambari has become a key member of the Apache Hadoop project ecosystem and a trusted operational platform for many companies.

Let’s take a brief look at the community’s amazing accomplishments over the past year, and then take some time to look forward.…

The Hadoop Distributed File System is the reliable and scalable data core of the Hortonworks Data Platform. In HDP 2.0, YARN + HDFS combine to form the distributed operating system for your Data Platform, providing resource management and scalable data storage to the next generation of analytical applications.

Over the past six months, HDFS has introduced a slew of major features to HDFS covering Enterprise Multi-tenancy, Business Continuity Processing and Enterprise Integration:

  • Enabled automated failover with a hot standby and full stack resiliency for the NameNode master service
  • Added enterprise standard NFS read/write access to HDFS
  • Enabled point in time recovery with Snapshots in HDFS
  • Wire Encryption for HDFS Data Transfer Protocol

Looking forward, there are evolving patterns in Data Center infrastructure and Analytical applications that are driving the evolution of HDFS.…

Today, with overwhelming partner support, we announced GA of Hortonworks Data Platform 2.0 (HDP 2.0).  With 17 certified partners and many more in the works, organizations can confidently get started taking advantage of Hadoop 2.0 its YARN based architecture knowing that the technologies they rely on, run on HDP 2.0.

With a YARN-based architecture that serves as the operating system for Hadoop, HDP 2.0 takes Hadoop beyond single-use, batch processing to a fully functional,  multi-use platform that enables batch, interactive, online and stream processing.…

Today we are proud to announce the delivery of Apache Ambari 1.4.1. Ambari 1.4.1 combines many months of work in the community advancing the Ambari codebase. Over 760 JIRAs have been resolved since the Ambari 1.2.5 release. We would like to thank the nearly 40 engineers who contributed to help make this release possible.

Hello Hadoop 2, Meet Apache Ambari The most important addition to Ambari 1.4.1 is support for installing, managing and monitoring a cluster based on the Hadoop 2 stack.…

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