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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.

7 Steps for a Developer to Learn Apache Spark

This ebook introduces steps for a developer to understand Spark, at a deeper level, and speaks to the Spark 2.x’s three themes— easier, faster, and smarter. Whether you’re getting started with Spark or already an accomplished developer, this ebook will arm you with the knowledge to employ all of Spark 2.x’s benefits. To learn more download: 7 Steps for a Developer to Learn Apache Spark

Configuration for Big-Data-as-a-Service

This white paper describes a new solution for Big-Data-as-a-Service combining the BlueData EPIC (Elastic Private Instant Clusters) software platform with the HPE Elastic Platform for Big Data Analytics (EPA). BlueData is transforming how enterprises deploy their Big Data applications and infrastructure. To learn more about Big-Data-as-a-Service download this white paper.

Bare-Metal Performance for Big Data Workloads on Docker Containers

In a benchmark study, Intel compared the performance of Big Data workloads running on a bare-metal deployment versus running in Docker containers with the BlueData EPIC software platform. The study found that it is possible to run Big Data workloads in a container-based environment without sacrificing performance. The benefits include agility, flexibility, and cost efficiency. Data science teams can get on-demand Hadoop and Spark clusters, while leveraging enterprise-grade security in a multi-tenant architecture. Get the white paper to learn about this breakthrough benchmark study.

Information Builders Offers iWay Big Data Integrator on Microsoft Azure Marketplace Cloud

Information Builders, a leader in business intelligence (BI) and analytics, data integrity, and integration solutions, announced that it is offering its iWay Big Data Integrator (iBDI) product via the cloud on the Microsoft Azure Marketplace.

Arcadia Data Accelerates Era of Data-Native Applications with Visual Analytics

Arcadia Data, provider of visual analytics software that solves the most complex big data problems, announced the launch of Arcadia Enterprise 4.0. The platform enhancements enable enterprises to build, brand, share and embed data-centric applications, ultimately making Apache Hadoop and cloud-based data lakes more accessible and valuable to all users within and outside an organization.

Pepperdata Integrates Performance into DevOps for Big Data

Pepperdata, the Big Data performance company, announced it is expanding its product portfolio with Pepperdata Application Profiler, providing Hadoop and Spark developers with easy to understand recommendations for improving job performance. Application Profiler is currently available in early access and will be generally available in the second quarter of 2017.

BlueData Announces Bare-Metal Performance for Hadoop on Docker Containers

BlueData®, provider of the leading Big-Data-as-a-Service (BDaaS) software platform, announced breakthrough performance results. The results from a new Intel® benchmarking study show comparable performance for Hadoop when running in a bare-metal environment or in a containerized environment using the BlueData EPIC™ software platform.

Waterline Data Releases Smart Data Catalog 4.0 for Faster Use of Big Data

Waterline Data, a leader in Data Lifecycle Management, announced the immediate availability of its latest platform offering, Smart Data Catalog 4.0.

The Five Blocks of the HPE WDO Solution

This is the sixth and final entry in an insideBIGDATA series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the exponential growth of data and the changing data landscape, and the HPE Workload and Density Optimized System. The final entry in the series is focused on the five blocks of the HPE WDO Solution.