As we have known for some time, Hortonworks customers are already building a modern data architecture with Hadoop as the technology of choice for handling the data they have streaming in from all directions. They care that it matches their needs, integrates with their existing infrastructure and solves real problems with flexibility.…
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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.…
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.
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.…
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.…
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!…
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.…
The last couple of weeks have been a period of intense activity around the Apache projects that comprise the Hadoop ecosystem. While most of the headlines were accorded to Apache Hadoop 2 going GA, it would be remiss not to pay attention to the great progress being made in the Apache projects that complement Hadoop.
We have blogged about these over the course of the past week and the list below provides a quick summary of the phenomenal work contributed in the open by the folks driving these diverse and vital communities.…
Today we are proud to announce the general availability of Apache Pig 0.12!
If you are a Pig user and you’ve been yearning to use additional languages, for more data validation tools, for more expressions, operators and data types, then read on. Version 0.12 includes all of those additions, and now Pig runs on Windows without Cygwin.
This was a great team effort over the past six months with over 30 engineers from Twitter, Yahoo, LinkedIn, Netflix, Microsoft, IBM, Salesforce, Mortardata, Cloudera and several others (including Hortonworks of course).…
Today, we are pleased to announce our strategic alliance between Hortonworks and SAS. Through this alliance we are committing to expand the integration between the SAS business analytics and data management capabilities and the Hortonworks Data Platform (HDP).
By better integrating SAS Business Analytics and HDP, SAS users can easily incorporate Hadoop as a component of their data architecture to capture, process and analyze data of any type and scale. This allows businesses to leverage powerful SAS analytic and data management capabilities across massive data sets, including new data sources that previously could not be captured and analyzed.…
Designed for senior IT executives, IT architects, technology planners, and business technologists, Knowledgent’s three-day facilitated Big Data Immersion workshop recently held in New York City, provided participants with an intensive deep dive answering the big data questions:
- Why Big Data? What are the issues that brought it all about?
- Demystifying Big Data: How can Hadoop help with big data issues?
- Implementation: How do I operationalize big data? How is big data analytics different?
We’re continuing our series of quick interviews with Apache Hadoop project committers at Hortonworks.
This week – as Hadoop 2 goes GA – Arun Murthy discusses his journey with Hadoop. The journey has taken Arun from developing Hadoop, to founding Hortonworks, to this week’s release of Hadoop 2, with its Yarn-based architecture.
This represents the realization of a massive effort by the entire Apache Hadoop community which started nearly 4 years to date, and we’re sure you’ll agree it’s cause for a big celebration. Equally, it’s a great credit to the Apache Software Foundation which provides an environment where contributors from various places and organizations can collaborate to achieve a goal which is as significant as Apache Hadoop v2.…
This is a guest blog post from Gary Nakamura, CEO at our partner Concurrent, Inc. discussing Cascading Pattern and the new Hadoop tutorial they have written for the Hortonworks Sandbox. This is one of the first tutorials aimed at more experienced crowd. Enjoy!Cascading Pattern: Deploy Predictive Models on Hadoop in minutes.