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

GridGain Systems Introduces Next-Generation In-Memory Computing Platform

GridGain Systems, provider of enterprise-grade in-memory computing platform solutions based on Apache® Ignite™, today announced GridGain 8.1. The solution expands the bounds of in-memory computing with a new memory-centric architecture, which leverages ongoing advancements in memory and storage technologies to provide distributed in-memory computing performance with the cost and durability of disk storage.

Go for Big Data

Many of the hottest modern infrastructure projects are powered by the Go programming language, including Kubernetes, Docker, Consul, etcd, and many more. Go is turning into a go to language for devops, web servers, and microservices. One route to providing robust, performant, and scalable data processing within Go is to utilize the Intel® Data Analytics Acceleration Library (Intel® DAAL) within Go programs.

Kinetica Brings GPU Acceleration with SQL to Tableau

Kinetica, provider of the high-performing GPU-accelerated database, announced the availability of native integration with Tableau allowing users to simultaneously ingest, explore, analyze, and visualize data within milliseconds to make critical decisions and find efficiencies, lower cost, generate new revenue, and improve customer experience.

TIBCO Introduces Robust New TIBCO Cloud Offering

TIBCO Software Inc., a global leader in integration, API management, and analytics, announced its TIBCO Cloud™ platform, featuring the new TIBCO Cloud™ Live Apps offering alongside the recognized TIBCO Cloud™ Integration. TIBCO Cloud provides improved solutions for organizations completely hosted in the cloud, enabling business users with self-service functionality, while simultaneously reducing the burden on IT. These developments illustrate TIBCO’s commitment to enhancing the customer experience, equipping them with advanced, intelligent technologies to become more productive, profitable, and innovative.

OpenVX – The Standard for Computer Vision

OpenVX is an API enabling software developers to add hardware accelerated computer vision capabilities to their programs. Coupled with the current upswing in the use of deep learning technologies, computer vision applications with OpenVX are becoming very important. OpenVX is an integral part of Intel Computer Vision SDK. This comprehensive toolkit is for developing and deploying vision-oriented solutions on platforms from Intel, including autonomous vehicles, digital surveillance cameras, robotics, and mixed-reality headsets.

Databricks Simplifies and Scales Deep Learning with New Apache Spark Library

Databricks, the company founded by the creators of the popular Apache Spark project, announced Deep Learning Pipelines, a new library to integrate and scale out deep learning in Apache Spark.

BlueData, Intel Compare Bare-Metal & Containers for Big Data Workloads

Has your business ever tried to decide between a bare-metal environment or a container-based environment for dealing with Big Data needs? BlueData and Intel collaborated to discuss this very issue in a benchmark study of the performance of Big Data workloads.

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.

Tableau 10.3 Adds Data Driven Alerting, Smart Recommendation Engine, and Expands Data Connections

Tableau Software (NYSE: DATA), the global leader in visual analytics, announced the general availability of Tableau 10.3. This latest release helps organizations achieve data-driven insights faster than ever, through automated table and join recommendations powered by machine learning algorithms that simplify the search for the right data for analysis.

7 Steps From Raw Data to Insight

Data scientists generally ascribe to the “machine learning process” which is seen as a roadmap to follow when working on a data science project. The infographic at the end of this article provides a detailed work flow that it is general enough to encompass pretty much any data science project.