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Impetus Workload Migration Solution, StreamAnalytix and OLAP on Big Data solution

In this video from the DataWorks Summit / Hadoop Summit 2017 conference in San Jose (June 13-15, 2017), insideBIGDATA’s Managing Editor and resident data scientist Daniel D. Gutierrez chats with Larry Pearson, VP Marketing of Impetus Technologies, Vineet Tyagi, CTO of Impetus Technologies, and Ajay Anand, VP Products of Kyvos Insights.

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.

Arcadia Data Simplifies Security for Native Visual Analytics on Big Data

Arcadia Data, provider of the native visual analytics software for big data, has extended support for a unified security and management solution native to Apache Hadoop that includes certified integration with Apache Ranger. This announcement continues the company’s security strategy after the in-cluster security solution announced last year that enhanced its capabilities to deliver secure data directly in Hadoop, cloud, and other modern data platforms without sacrificing granular access control, overcoming the complexities of extraction, data movement and fragmented permission models inherent to legacy BI and analytics architectures that run outside of Hadoop.

Unravel Data Adds Native Support for Impala and Kafka

Unravel Data, the Application Performance Management (APM) platform designed for Big Data, announced that it has integrated support for Cloudera Impala and Apache Kafka into its platform, allowing users to derive the maximum value from those applications. Unravel continues to offer the only full-stack solution that doesn’t just monitor and unify system-level data, but rather tracks, correlates, and interprets performance data across the full-stack in order to optimize, troubleshoot, and analyze from a single pane.

Syncsort’s New Change Data Capture Capabilities Extend Mainframe Access and Integration to the Data Lake

Syncsort, a leader in data liberation, integrity and integration solutions for next-generation analytics, announced new capabilities in its unrivaled mainframe data access and integration solution that continuously, quickly and efficiently populates Hadoop data lakes with changes in mainframe data.

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.

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.

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.

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.