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The Hortonworks Blog

With the introduction of the Hortonworks Data Cloud (HDCloud), deploying clusters and starting to process data has become an order of magnitude faster. When Apache Hadoop evolved from being an on premise solution to a cloud based solution, the time it took to make a cluster went from weeks to days. The same magnitude of […]

We are pleased to announce the latest release of Hortonworks Data Cloud for AWS. This release (version 1.11 for those that are keeping score) continues to drive towards the goal of making data processing easy and cost effective in the cloud. For those that aren’t familiar with Hortonworks Data Cloud for AWS (or “HDCloud” for […]

Apache Spark 2.1 was released recently in the community. The main focus of this release was improvements in Structured Streaming and Machine Learning. Structured Streaming: Kafka .10 support, Metrics & Stability improvements Machine Learning: SparkR Improvements including new ML algorithms for LDA, Random forests, GMM, etc. Wanna try Spark 2.1 now? Well, you are in […]

As the hectic holiday season nears, we’re all looking for way to have a little more time for friends and family, to enjoy the season and perhaps slow down a little. But as many of us know, business doesn’t always wait. And for some, it’s one of the busiest times of year. Wouldn’t it be […]

We recently concluded our highly attended How to Get Started with Hortonworks Data Cloud for AWS Webinars. Thank you Jeff Sposetti and Sean Roberts for hosting the sessions. The webinars provided a very informative overview about the offering and included a detailed demonstration to show how the product works. Some greats questions came across during […]

It is that time of year again, right before Christmas in Las Vegas, where nearly 30,000 technologists gather to see the latest in innovation around the Cloud. Hortonworks is honored to participate as an exhibitor for the first time. If you are in Vegas this week for the AWS re:Invent, please stop by our booth #2732 […]

Earlier this year, we started making Technical Previews of Hortonworks Data Cloud for AWS available. The feedback and response has been incredible, and over the past few months, we performed many Technical Preview refreshes. Now we are ready to make it official and release the product into AWS Marketplace. Therefore, we are excited to announce […]

People often think about cloud architecture in simplistic terms: you’re either public, private, or hybrid. (In fact, there’s even confusion about the meaning of the term “hybrid” itself—this video helps clear it up: In the real world, of course, virtually every implementation is hybrid—no company puts 100% of its IT environment into one single cloud. […]

Hadoop’s ability to work with Amazon S3 storage goes back to 2006 and the issue HADOOP-574, “FileSystem implementation for Amazon S3”. This filesystem client, “s3://” implemented an inode-style filesystem atop S3: it could support bigger files than S3 could then support, some its operations (directory rename and delete) were fast. The s3 filesystem allowed Hadoop […]

This is the first of a three part series of the evolution of the Hortonworks and Microsoft relationship. Microsoft has led one tech industry revolution after another from the dawn of personal computing to the cloud. Hortonworks is defining a new generation of innovation and impact with its pioneering work in Big Data. You already […]

Ram Venkatesh also contributed to this blog series  Why Apache Hadoop in the Cloud? Ten years ago, Hadoop, the elephant started the Big Data journey inside the firewall of a data center- the Apache Hadoop components were deployed on commodity servers inside a private data center. Now, the public cloud is another viable option for […]

Big data is changing the way enterprises interact with and consume data. Modern data platforms, such as Hortonworks Data Platform (HDP) and Hortonworks Data Flow (HDF), are driving a data revolution by powering new workloads and analytic applications. This week, there are thousands of attendees in San Jose at Hadoop Summit 2016 learning about the […]

Today we announced Microsoft Azure HDInsight as our Premier Connected Data Platforms cloud solution, providing customers Apache™ Hadoop® as a fully managed cloud service.   The announcement is very timely as this week, Hortonworks and Microsoft are celebrating the 10th anniversary of Hadoop at the Hadoop Summit 2016.  Highlighting HDInsight as our premier cloud offering helps […]

In this age, all systems need to be up all the time and run efficiently. It is not that simple and most of us need help and advice from experts who have done this before. The great news is that there are a set of experts ready to help and share their experiences at Hadoop Summit San […]

The previous two posts have covered the business & strategic need for Wealth Management IT applications to reimagine themselves to support their clients. How is this to be accomplished and what does a candidate architectural design pattern look like? What are the key enterprise wide IT concerns? This third & final post (3/3) tackles these questions. […]