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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.

Big Data is changing: Are You Ready to Grab the Change?

In this contributed article, Juned Ghanchi, co-founder of IndianAppDevelopers, takes a high-level look at the big data industry by examining the significant changes we’re seeing in a variety of business sectors as result of the technology.

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.

Big Data in Sports: Going for the Gold

In this contributed article, Eugene Rudenko, a senior online marketing specialist for Oxagile, a custom software development company, takes a look at the growing collection of big data technologies applied to the sporting world.

BlueData, HPE Combined Solution Works to Tackle Big-Data-as-a-Service Challenges

Big-Data-as-a-Service is growing in popularity and evolving to better suit the needs of today’s businesses. A recent white paper from BlueData describes a new solution for Big-Data-as-a-Service combining the BlueData EPIC software platform with the HPE Elastic Platform for Big Data Analytics.

Trifacta Reveals Spring ’17 Release to Accelerate Expansion of Data Wrangling Projects in Large Scale Enterprise Environments

Trifacta, the global leader in data wrangling, announced the Spring ’17 Wrangler Enterprise release, accelerating expansion of data wrangling projects in production environments through advancements in self-service scheduling, sharing and sampling capabilities. With the Spring ’17 release, Trifacta now provides enhanced features that meet the growing expectations for deploying data wrangling solutions at enterprise-wide scale.

Hadoop, Spark or Both?

In this contributed article, tech writer Blake Davies asks the question: Spark or Hadoop? This question has recently sparked various discussions throughout the online communities. Even though these two work on different principles, they can be applied in a same way for various uses. While Hadoop is a household name in the world of big data processing, Spark is still building a name for itself and it’s doing so with “style”.

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.

MapR Extends Convergence to the IoT Edge

MapR Technologies, Inc., the provider of the converged data platform, announced MapR Edge, a small footprint edition of the MapR Converged Data Platform. Addressing the need to capture, process, and analyze data generated by Internet-of-Things (IoT) devices close to the source, MapR Edge provides secure local processing, quick aggregation of insights on a global basis, and the ability push intelligence back to the edge for faster and more significant business impact.

Zoomdata Introduces Smart Connector for Vertica Advanced Analytics Database from HPE

Zoomdata, developers of the visual analytics platform for big data, announced a new Smart Connector™ for the Vertica Advanced Analytics database from Hewlett Packard Enterprise. Leading Vertica systems integrator, Clarity Insights, will offer customers pre-integrated Zoomdata packages for Vertica as well as other supported data sources.