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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.

Big Data, Hadoop & Cloud: Tackling a Chain of Emerging Challenges

In this special guest feature, Chandra Ambadipudi, CEO of Clairvoyant, provides a compelling tour de force through the recent history of the big data industry and how Hadoop and the cloud have made steady acceleration possible. Also offered are recommendations for how to address several challenges faced by enterprises with respect to big data cloud implementations.

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.

Business Lessons from Hadoop’s Non-Failure

In this special guest feature, Hiro Yoshikawa, co-founder and CEO of Treasure Data, counters the growing perception that Hadoop is a failure and focuses on the lessons that organizations can learn from the rush to adopt Hadoop.

New MapR Orbit Cloud Suite Extends Analytics and Applications Across Clouds and Edge

MapR Technologies, Inc., provider of the Converged Data Platform that integrates analytics with operational applications in real time, announced the MapR Orbit Cloud Suite. Offering a comprehensive set of cloud computing capabilities for the MapR Converged Data Platform, MapR Orbit enables organizations to build data fabrics for the first time that manage data across one or more clouds, hybrid clouds, or to the edge. It also includes advanced features specifically useful to cloud builders and cloud service providers.

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.

Five Reasons to Backup Your Hadoop Environment

In this special guest feature, Peter Smails, Vice President of Marketing and Business Development at Datos IO, discusses that in order to achieve enterprise-grade data protection on Hadoop platforms, there are five reasons to consider backup and recovery solutions for big data file systems like Hadoop.