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September 19, 2017 | Simon Ball | Announcements

Hortonworks Cybersecurity Platform – Big Data Cybersecurity Solution

September 18, 2017 | Matt Spillar | Hortonworks Case Study

Lloyds Banking Group Brings Home Data Accolade

September 18, 2017 | Vinod Kumar Vavilapalli | From the Dev Team

Engineering @ Hortonworks – The Matrix

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Overview As more and more workloads are being brought onto modern hardware in the cloud, it’s important for us to understand how to pick the best databases that can leverage the best hardware. Amazon has introduced instances with directly attached SSD (Solid state drive). Both Apache HBase and Apache Cassandra are popular key-value databases. In […]

This guest blog is from our partner Denodo who is a leader in data virtualization and a Hortonworks partner for many years. Denodo helps customers who have data from multiple, heterogeneous sources to quickly, easily and cost-effectively integrate it to derive business insights and positively change their strategy to become more data-driven. In addition to […]

Attunity is a long-time Hortonworks partner who provides data optimization and data integration software to help Hortonworks customers address exploding data growth, efficiently manage the performance of BI and data warehouse systems, and realize the tremendous economies of Apache Hadoop®. Attunity solutions are certified on HDF, HDP and are YARN Ready. Together, Hortonworks and Attunity […]

LLAP wins the fastest execution among the SQL engines! Comcast is one of the nation’s leading providers of communications, entertainment and cable products and services. Headquartered in Philadelphia, PA, they employ over 100,000 employees nationwide whose goal is to deliver the highest level of service and improve the customer experience. Comcast decided to run what […]

This blog has contributions from Mingliang Liu and Rajesh Balamohan. Late last year, we provided a brief history of Apache Hadoop support for Amazon S3. Our first focus of work was speeding up the read of S3-hosted data acting as a query input. That was followed by the write pipeline, as well as scaling and […]

On June 7, we hosted the Next Gen Data Analytics Powered by Cloud webinar with speakers from Hortonworks, Jeff Sposetti  and Amazon Web Services, Karthik Krishnan. The webinar provided an overview on how your organization can achieve the benefits of data analytics with the cloud, how to use the AWS marketplace for ease of deployment, […]

Hortonworks Data Cloud provides a quick and easy on-ramp for users looking to combine the agility of Amazon Web Services (“AWS”) with the data processing power of the Hortonworks Data Platform. We are pleased to announce not ONE but TWO new releases available for Hortonworks Data Cloud. Read on to learn more. Hortonworks Data Cloud […]

Recently Shaun Connolly (of Hortonworks) and Tony Baer (of Ovum) presented “Get Started with Big Data in the Cloud”.  During this webinar, they discussed the opportunity to take advantage of the cloud for big data workloads. As we see an increase in data analytics in the cloud, we are also seeing an increase in data […]

Hive View 2.0 is New in Apache Ambari 2.5 Ambari’s Hive View gives analysts and DBAs a convenient web interface to Apache Hive which allows SQL analytics, data management and performance diagnostics. Ambari 2.5 introduces Hive View 2.0 with a brand new user experience plus a slew of great new tools to help DBAs run […]

We are thrilled to announce that Hortonworks Data Platform (HDP) version 2.6 is now available – both on pre-premise and in the cloud. For the first time, we are also making this available on IBM Power System in addition to the x86 chipset. During 2016, we have seen many of Hortonworks’ customers deploy more and […]

Streaming on Apache Spark and Interactive SQL on Apache Hive now runs even faster In 2016, Hortonworks announced Microsoft Azure HDInsight as its Premier Connected Data Platforms cloud solution to give customers Apache™ Hadoop® in cloud environments. Microsoft and Hortonworks have been pioneering cloud solutions for the past four years together through a strategic partnership […]

Apache Spark has ignited an explosion of data exploration on very large data sets. Spark played a big role in making general purpose distributed compute accessible. Anyone with some level of skill in Python, Scala, Java, and now R, can just sit down and start exploring data at scale. It also democratized Data Science by […]

The 100% open source and community driven innovation of Apache Hive 2.0 and LLAP (Long Last and Process) truly brings agile analytics to the next level. It enables customers to perform sub-second interactive queries without the need for additional SQL-based analytical tools, enabling rapid analytical iterations and providing significant time-to-value. TRY HIVE LLAP TODAY Read about […]

Apache Hive(™) is the most complete SQL on Hadoop system, supporting comprehensive SQL, a sophisticated cost-based optimizer, ACID transactions and fine-grained dynamic security. Though Hive has proven itself on multi-petabyte datasets spanning thousands of nodes many interesting use cases demand more interactive performance on smaller datasets, requiring a shift to in-memory. Hive 2 marks the […]