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The Hortonworks Blog

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. […]

At Hadoop Summit San Jose the goal of the Data Science, Analytics and Spark track is sure to be packed. Ram Sriharsha – Product Manager Apache Spark, Databricks generalizes the 16 sessions in the track as providing technical guidance around: Leveraging Hadoop for analytics is a key use case across industries and represents a critical value proposition for Hadoop. This track […]

“If (wealth management advisors) continue to work the way you have been, you may not be in business in five years” – Industry leader Joe Duran, 2015 TD Ameritrade Wealth Advisor Conference. The wealth management segment is a potential high growth business for any financial institution. It is the highest customer touch segment of banking and is fostered on long term and extremely lucrative advisory relationships. […]

We are excited to announce the general availability of Hortonworks Sandbox with HDP 2.3 on Microsoft Azure Gallery. Hortonworks Sandbox is already a very popular environment for developers, data scientists and administrators to learn and experiment with the latest innovations in Hortonworks Data Platform. The hundreds of innovations span across Apache Hadoop, Kafka, Storm, Spark, […]

In this guest blog, Oliver Chiu, Microsoft’s product marketing manager for Hadoop/Big Data and Data Warehousing, explains how customers can benefit from deploying Apache Spark and HDP on Azure HDInsight for their enterprise and mission-critical big data jobs. On July 10, Microsoft announced the public preview availability of Apache Spark for Azure HDInsight. Azure HDInsight is […]

Microsoft’s Worldwide Partner Conference is well underway. The conference is a great opportunity for Microsoft’s partner community to understand key marketing and business strategies and engage with the Microsoft community. At this year’s conference, Microsoft’s National Sales Organization announced its 2015 Partner of the Year awards, and Hortonworks has been recognized with the Cloud Partner […]

Apache Spark has garnered a lot of developer attention and is often the top of agenda in my customer interactions. Since we announced support for Spark in HDP, we have seen broad customer adoption of our Spark offering. Our customers love Spark for the simplicity of its API, speed of development and the runtime performance. […]

In his blog, Tim Hall wrote, “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.” One of the choices in deploying Hadoop in the cloud environment is with Microsoft Azure using […]