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
January 16, 2018 by Leave a Comment
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
December 4, 2017 by Leave a Comment
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
October 21, 2017 by Leave a Comment
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
September 27, 2017 by 1 Comment
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
September 9, 2017 by Leave a Comment
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
July 31, 2017 by Leave a Comment
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
July 21, 2017 by Leave a Comment
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.
Arcadia Data Simplifies Security for Native Visual Analytics on Big Data
July 1, 2017 by Leave a Comment
Arcadia Data, provider of the native visual analytics software for big data, has extended support for a unified security and management solution native to Apache Hadoop that includes certified integration with Apache Ranger. This announcement continues the company’s security strategy after the in-cluster security solution announced last year that enhanced its capabilities to deliver secure data directly in Hadoop, cloud, and other modern data platforms without sacrificing granular access control, overcoming the complexities of extraction, data movement and fragmented permission models inherent to legacy BI and analytics architectures that run outside of Hadoop.
Unravel Data Adds Native Support for Impala and Kafka
June 29, 2017 by Leave a Comment
Unravel Data, the Application Performance Management (APM) platform designed for Big Data, announced that it has integrated support for Cloudera Impala and Apache Kafka into its platform, allowing users to derive the maximum value from those applications. Unravel continues to offer the only full-stack solution that doesn’t just monitor and unify system-level data, but rather tracks, correlates, and interprets performance data across the full-stack in order to optimize, troubleshoot, and analyze from a single pane.
