Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ:AMZN), today announced the availability of P2 instances, a new GPU instance type for Amazon Elastic Compute Cloud (Amazon EC2) designed for compute-intensive applications that require massive parallel floating point performance, including artificial intelligence, computational fluid dynamics, computational finance, seismic analysis, molecular modeling, genomics, and rendering.
In this special guest feature, Scott Gnau, CTO of Hortonworks, welcomes us to the future of data where the modern data application will need to be highly portable, containerized and connected.
Liaison Expands ALLOY™ Platform with New Features to Enable Next Generation of Real-Time Integration & Data Management
Liaison Technologies, a recognized leader in cloud-based integration and data management solutions, announced the debut of new features on its flagship ALLOYÔ Platform, the Data Platform as a Service (dPaaS) solution.
Syncsort’s New Innovations and Cloudera Navigator Integration Simplify Big Data Governance on Premise and in the Cloud
Syncsort, a global leader in Big Iron to Big Data solutions, announced new open metadata management capabilities in its DMX-h data integration software that, along with its seamless integration with Cloudera Navigator, make Big Data governance easier.
Predictive maintenance involves gathering targeted data for analysis, the results of which will help anticipate potential failures before they occur. Companies opt for this type of maintenance to avoid predictable incidents and repair equipment, assembly lines, or machinery with minimum impact on their operations. “Having to repair a faulty product is disastrous for a manufacturer’s brand image. But shutting down […]
Attunity Ltd. (NASDAQ: ATTU), a leading provider of Big Data management software solutions, announced that it is introducing a new solution, Attunity Replicate for SAP, a high-performance data replication solution optimized to deliver SAP application data in real-time for Big Data analytics on premises or in the cloud.
In this video from the 2016 HPC User Forum in Austin, John Feo from PNNL presents: Why use Tables and Graphs for Knowledge Discovery System? “GEMS software provides a scalable solution for graph queries over increasingly large data sets. As computing tools and expertise used in conducting scientific research continue to expand, so have the enormity and diversity of the data being collected. Developed at Pacific Northwest National Laboratory, the Graph Engine for Multithreaded Systems, or GEMS, is a multilayer software system for semantic graph databases. In their work, scientists from PNNL and NVIDIA Research examined how GEMS answered queries on science metadata and compared its scaling performance against generated benchmark data sets. They showed that GEMS could answer queries over science metadata in seconds and scaled well to larger quantities of data.”
More than 1,600 members of the Apache Spark community from over 900 organizations have spoken, and Spark continues to be the most active open-source project in the big data space today. The 2016 Databricks Apache Spark Survey shows a rise in production deployments of Spark in the public cloud, as well as an increased usage […]
Trifacta, a leader in data wrangling, announced the release of Trifacta v4. The latest release expands upon Trifacta’s award-winning approach to data wrangling, with capabilities specifically designed to work for more users, more diverse data sources and within more cloud environments.
The insideBIGDATA Guide to Healthcare & Life Sciences is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting new area of technology. The guide provides an overview of the utilization of big data technologies as an emerging discipline in healthcare and life sciences. It explores the characteristics of this business strategy and the benefits of leveraging big data technologies within these sectors. It also touches on the challenges and future directions of big data and analytics in the healthcare and life sciences industries.