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News, reviews and feature articles on companies that are changing how organizations leverage massive volumes of data

Julia: A High-Level Language for Supercomputing and Big Data

Julia is a new language for technical computing that is meant to address the problem of language environments not designed to run efficiently on large compute clusters. It reads like Python or Octave, but performs as well as C. It has built-in primitives for multi-threading and distributed computing, allowing applications to scale to millions of cores. In addition to HPC, Julia is also gaining traction in the data science community.

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.

Powering Digital Transformation with In-Memory Computing and Open Source Software

In this special guest feature, Abe Kleinfeld, president & CEO of GridGain, looks at the rise of in-memory computing as the critical computing platform sitting at the nexus of several key computing trends that have converged in recent years, from big data to IoT and real-time analytics, in-memory computing has emerged as the lynch pin for those computing initiatives.

Taking Control of System Storage Performance

The Intel Storage Performance Snapshot Tool gives you a fast, high-level look at system storage performance and helps you understand the potential benefits of moving to faster storage. To demonstrate the power of this tool, let’s consider two snapshots while running a MySQL database workload against the same system but with two storage configurations.

Databricks Secures $140 Million to Accelerate Analytics and Artificial Intelligence in the Enterprise

Databricks, provider of the leading Unified Analytics Platform and founded by the team who created Apache Spark™, announced it has secured $140 million in a Series D funding round led by Andreessen Horowitz. New Enterprise Associates and Battery Ventures also participated.

The State of Graph Databases – Worldwide Adoption and Use Case Characteristics

A new paper, “The State of Graph Databases – Worldwide Adoption and Use Case Characteristics,” provides an overview of graph technology, details the results of a new IBM survey—and highlights findings that debunk some of the most popularly held views about graph technology.

Intel-Based Software: The Perfect Fit for Digital Asset Management

In this special guest feature, Krish Kupathil, founder and CEO of Mobiliya, discusses how almost every industry is in the process of ramping up IoT mechanisms, and one of its biggest applications remains in the field of physical asset management, monitoring and predictive maintenance.

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.

The Digital Art of Detecting Fraud

In this special guest feature, Christopher Hillman, Principal Data Scientist in the International Advanced Analytics team at Teradata, discusses the significant progress being made in the area of fraud detection through use of machine learning by providing new insights into existing problems.

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.