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The Power of Crunching Big Data Effectively

In this contributed article, Lex Boost, CEO of Leaseweb USA, points out that according to an Accenture study, 79% of enterprise executives agree that companies not embracing big data will lose their competitive edge. Considering that data creation is on track to grow 10-fold by 2025, it’s crucial for companies to be able to process it more quickly, and meaningfully.

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.

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.

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.

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.

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.

Arcadia Data Simplifies Security for Native Visual Analytics on Big Data

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.