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Cloudera + Hortonworks: A Marriage from the Edge to AI

Did you hear the clap of thunder in the big data ecosystem today? If so, it was only just Cloudera, Inc. and Hortonworks, Inc. jointly announcing that they have entered into a definitive agreement under which the companies will combine in an all-stock merger of equals. The transaction, which has been unanimously approved by the Boards of Directors of both companies, will create the world’s leading next generation data platform provider.

Hadoop-as-a-Service: The Need Of The Hour For Superior Business Solutions

In this contributed article, content writer Swamini Kulkarni discusses how the launch of new platforms based on HaaS solutions demonstrate that Hadoop-as-a-Service (HaaS) is a promising solution for building and managing the big data cluster, which will compel organizations to consider Hadoop as a potential solution for big data challenges.

Interview: Jamie Engesser, VP Product Mangement at Hortonworks

I recently caught up with Jamie Engesser, VP Product Mangement at Hortonworks during the company’s DataWorks Summit 2018 conference in San Jose, California, to get an update on his company’s direction and his sense for the pulse of the big data industry.

Hortonworks Data Platform 3.0 Enables Containerization and Deep Learning Workloads

Hortonworks, Inc.® (NASDAQ: HDP), a leading provider of global data management solutions, today announced Hortonworks Data Platform (HDP) 3.0, which delivers significant new enterprise features including containerization for faster and easier deployment of applications, and increased developer productivity. The new version of HDP enables customers to more quickly, reliably and securely get value from their data at scale to drive business transformation.

Hadoop 3.0 Perspectives by Hortonwork’s Hadoop YARN & MapReduce Development Lead, Vinod Kumar Vavilapalli

In the Q&A below, , Hortonwork’s Hadoop YARN & MapReduce Development Lead, Vinod Kumar Vavilapalli, offers his perspectives on the recent release of Hadoop 3.0, the latest version of the Open Source software framework for reliable, scalable, distributed computing.

AtScale Brings its Universal Semantic Layer to the AWS Cloud

AtScale announced the preview availability of its universal semantic platform for business intelligence (BI) on Amazon Redshift. With this offer, enterprises will gain faster time to insight by deploying Big Data Analytics on the Amazon Cloud and benefit from an enhanced ROI by running production-ready workloads on the cost-effective Amazon cloud platform.

MapR Launches Managed Services for Improved DataOps

MapR Technologies, Inc., a pioneer in delivering one platform for all data, across every cloud, announced new Managed Services for the MapR Converged Data Platform. Available immediately, customers can focus on building a wide range of applications from analytics to machine learning and artificial intelligence (AI), while MapR manages the daily operations of the customer’s big data infrastructure from on-premises, across clouds and to the edge.

ESG Labs Confirms MapR Outperforms Cassandra and HBase by 10x in the Cloud

MapR Technologies, Inc., provider of the Converged Data Platform that fully integrates analytics with operational processes in real time, announced that Enterprise Strategy Group (ESG) published an ESG Technical Review that evaluated the performance and scalability of running MapR-DB in the cloud, and compared results with two open-source NoSQL database offerings.

Impetus Workload Migration Solution, StreamAnalytix and OLAP on Big Data solution

In this video from the DataWorks Summit / Hadoop Summit 2017 conference in San Jose (June 13-15, 2017), insideBIGDATA’s Managing Editor and resident data scientist Daniel D. Gutierrez chats with Larry Pearson, VP Marketing of Impetus Technologies, Vineet Tyagi, CTO of Impetus Technologies, and Ajay Anand, VP Products of Kyvos Insights.

IBM Combines All-Flash and Storage Software Optimized for Hortonworks

IBM (NYSE: IBM) announced a new all-flash, high-performance data and file management solution for enterprise clients running exabyte-scale big data analytics, cognitive and AI applications. The combined flash and storage software solution has been certified with the Hortonworks Data Platform (HDP) to provide clients with more choice in selecting the right platform for their big data analytics on data processing engines like Hadoop and Spark.