The Future of Open Source Big Data Platforms

Three well-funded startups – Cloudera Inc., Hortonworks Inc., and MapR Technologies Inc. — emerged a decade ago to commercialize products and services in the open-source ecosystem around Hadoop, a popular software framework for processing huge amounts of data. The hype peaked in early 2014 when Cloudera raised a massive $900 million funding round, valuing it […]

MapR Announces Clarity Program for Cloudera and Hortonworks Customers with New Platform Update and Free Data Assessment Service

MapR® Technologies, Inc., provider of the data platform for AI and Analytics, announced the Clarity Program, a new product release and a free assessment service that provides a comprehensive understanding of a customer’s current data environment and the best practices to achieve a clear path to support AI, cloud, containers and IoT deployments.

Interview: Jim Scott, Director, Enterprise Strategy & Architecture at MapR

I recently caught up with Jim Scott, Director, Enterprise Strategy & Architecture at MapR, to discuss blockchain, at its core a Shared Distributed Ledger with strict, yet customizable rules detailing how to place information into the ledger. The foundational pieces that comprise this model are already in place in one fashion or another within most enterprises.

MapR Delivers Self-Service Data Science for Leveraging Machine Learning and Artificial Intelligence

MapR Technologies, Inc., a pioneer in delivering one platform for all data, across every cloud, announced the MapR Data Science Refinery, a new solution that provides data scientists an easy way to access and analyze all data in-place, to collaborate, build and deploy machine learning models on the MapR Converged Data Platform.

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.

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.

MapR Unveils DataOps-Driven Approach to Data Governance Across On-Premises, Cloud and Edge Deployments

MapR Technologies, Inc., provider of the Converged Data Platform that integrates analytics with operational applications in real time, unveiled a DataOps-driven breakthrough approach to governance in the age of big data. Addressing shortcomings found in traditional approaches, companies can now leverage platform-level capabilities for compliance-ready data lineage and the management of metadata at scale.

Interview: Jack Norris, SVP Data and Applications at MapR

I recently caught up with Jack Norris, Senior Vice President of Data and Applications at Mapr, to discuss how storage and data management are in the midst of a generational re-platforming to leap forward into the digital age and how “data fabric” technology is taking a leading role.

New MapR Quick Start Solution Accelerates Deep Learning Application Deployments

MapR Technologies, provider of the Converged Data Platform that enables organizations to create intelligent applications that fully integrate analytics with operational processes in real time, announced a new Quick Start Solution (QSS) focusing on deep learning applications. The MapR Distributed Deep Learning QSS is a data science-led product and services offering that enables the training of complex deep learning algorithms (i.e. deep neural networks, convolutional neural networks, recurrent neural networks) at scale.

Cloudy with a Chance of On-prem

In this special guest feature, Jim Scott, Director of Enterprise Strategy and Architecture at MapR, explores different use cases that may be best run in the cloud versus on premises, points out opportunities to optimize cost and operational benefits, and explain how to get the data moved between locations.