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October 16, 2018 | Saumitra Buragohain

Data Science and Engineering Platform in HDP 3.0 – Hybrid, Secure, Scalable

October 15, 2018 | Arpit Agarwal | Hortonworks Engineering

Apache Hadoop Ozone – Object Store Architecture

October 10, 2018 | Matt Spillar

How Santander Bank’s Big Data Architecture is Providing Smooth Solutions for Clients


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What is a Data Science and Engineering Platform Apache Spark is one of our most popular workloads- both on-premises and cloud. As we recently announced HDP 3.0.0  (followed by a hardened HDP 3.0.1), we want to introduce the Data Science and Engineering Platform powered by Apache Spark. As noted in the marketecture above, our Data […]

1. Introduction Apache Hadoop Ozone is a distributed key-value store that can efficiently manage both small and large files alike. Ozone is designed to work well with the existing Apache Hadoop ecosystem and also fill the need for a new open-source object store that is designed for ease of operational use and scale to thousands […]

Next week is DataWorks Summit Tokyo (October 16th)! We have a number of impressive speakers lined up for keynote and breakout presentations, including Javier Nieto Centeno from Santander Bank. Santander Bank offers an array of financial services and products including retail banking, mortgages, corporate banking, cash management, credit card, capital markets, trust and wealth management, […]

1. Introduction This article is second in the series about Ozone – a distributed key-value store that can efficiently manage small and large files alike. An earlier article introduced the Ozone design philosophy. The current article is for users who want to try Ozone. We discuss an overview of Ozone concepts, describe how to bring […]

According to a recent IDC survey, organizations are migrating 50% of their public cloud applications and data to either on-premises or private cloud environments in the next 2 years due to security concerns. However, some say the move to the cloud is inevitable: LogicMonitor indicates that 83% of enterprise workloads will be in the cloud […]

While some of the Hortonworks engineers are busy adding more enterprise features to Apache Kafka or are creating new innovations to make your life more easy with Kafka, I thought of updating you with a couple of upcoming (Kafka related) events that we don’t want you to miss. Before I give you the scoop on […]

1. Introduction The Apache Hadoop Distributed File System (HDFS) has been the de facto file system for big data. It is easy to forget just how scalable and robust HDFS is in the real world. Our customers run clusters with thousands of nodes; these clusters store over 100 petabytes of data serving thousands of concurrent […]

Today we made a very exciting announcement about the future of Hortonworks – we announced that we have agreed to combine with Cloudera in a merger of equals. Together, Hortonworks and Cloudera will create the industry’s first enterprise data cloud for enabling actionable insights from the Edge to AI. This exciting combination will expand our […]

Yesterday was Customer Experience Day, a day where we had the opportunity to celebrate the people and companies that make great customer experiences happen and recognize great customer work! As part of this celebration, we had a customer webinar with Johns Hopkins University. Johns Hopkins University is an American private research university, founded in 1876 […]

Your big data business strategy is just the starting point if you expect your business to achieve long-term success.

Today we’re celebrating Customer Experience Day! This is a day to celebrate the people and companies that make great customer experiences happen and to recognize great customer work. We have over 1,400 different customers across every industry, all with unique stories to tell, solving difficult business challenges. Not only are they putting these technological solutions […]

Earlier we talked about reasons for integrating Druid and Hive in a THREE-PART SERIES (Part 1, Part 2 ,  Part 3) OF DOING ULTRA FAST OLAP ANALYTICS WITH APACHE HIVE AND DRUID. Since then we have spent even more of our time and efforts on — bug fixes, correctness, performance and supporting new features. Today, […]

“Customers are our lifeline at Hortonworks.  Our goal is to help them achieve their goals and objectives faster and more efficiently. We put them at the center of everything we do, which leads to a strong partnership, and promotes advocacy along their journey with us.  It’s a win-win for everyone.”   – Rob Bearden, CEO, Hortonworks […]

Next week we’ll be celebrating Customer Experience Day! October 2nd marks the 6th annual CX Day, which “celebrates the professionals and companies that make great customer experiences happen. It’s an opportunity to recognize great customer work, discover professional development opportunities, and strengthen professional networks.” ( Hortonworks has seen tremendous growth other the years, since its […]

If data is the new bacon, data stewardship supplies its nutrition label! This is the second part of a two-part blog introducing Data Steward Studio (DSS) which covers a detailed walkthrough of the capabilities in Data Steward Studio   With GDPR coming into effect in May 2018 and California legislature signing California Consumer Privacy Act […]


@hortonworks: Learn how @FreddieMac leverages #AI #BigData and #MachineLearning with Hortonworks -

@hortonworks: 3x Faster Interactive Query with Apache Hive LLAP. Whattttttt! #Hive #ApacheHive #LLAP

@hortonworks: Are #FacialRecognition and #behavior tracking the next evolution in confirming #digitalidentity? @RondaSwaney #data

@hortonworks: Join us in a Webinar on November 1st where talk about some technology enablers retail ‘winners’ are deploying to ta…

@hortonworks: #TBT

@hortonworks: Comprehensive end-to-end visibility into your @apachekafka clusters with Hortonworks Streams Messaging Manager. Dow…

@hortonworks: Learn how we helped @FreddieMac leverage #AI #BigData and #MachineLearning to improve the mortgage appraisal proce…

@hortonworks: Harnessing the power of #bigdata and #manufacturing in harmony can give you past learnings to enable game-changing…

@hortonworks: Read this blog if you're interested in learning about running #LLAP as a #YARN Service #ApacheHive #Hive