SAP SE (NYSE: SAP) unveiled SAP® Geographical Enablement Framework, powered by SAP HANA®, which helps organizations enrich business applications with geographic data from geographic information systems (GIS), such as Esri ArcGIS.
Driven 2.2: Hadoop Performance Monitoring as a Service for Managing Enterprise-scale Big Data Applications
Driven Inc., formerly Concurrent, Inc., a leader in Big Data application performance monitoring (APM), announced the next version of Driven.
BMC, a leader in IT software solutions for the digital enterprise, announced an expanded Big Data strategy to automate, accelerate and secure enterprise-class Hadoop® environments, enabling operational excellence and a competitive edge in the digital age.
Attunity Ltd. (NASDAQ CM: ATTU), a leading provider of Big Data management software solutions, announced the latest release of Attunity Visibility for Hadoop with enhanced technology to enable comprehensive data usage analytics for large-scale and fast-growing Hadoop Data Lake environments.
In this special technology white paper, Zero to Insight With the Snowflake Elastic Data Warehouse, you’ll learn how to get started with tomorrow’s data warehouse today. You can truly get from “zero” to “insight” without the pains of trying something new.
MapR Technologies, Inc., provider of the Converged Data Platform, announced the Spyglass Initiative — a comprehensive, open, and extensible approach for increasing user and administrator productivity.
In this feature contributed, George Corugedo, CTO at RedPoint Global, Inc. points out the madness of a Hive-reliant MDM approach that defies one of the very basic tenants of Hadoop: bring the work to the data rather than bringing the data to the work.
Talend, a global leader in big data and cloud integration solutions, released the newest version of Talend Data Fabric, a powerful platform designed to meet the integration needs of both developers and business users whether their applications are on-premises or in the cloud.
In this slidecast, Marc Hamilton from Nvidia describes the latest updates to the company’s Deep Learning Platform. “Great hardware needs great software. To help data scientists and developers make the most of the vast opportunities in deep learning, we’re announcing today at the International Supercomputing show, ISC16, a trio of new capabilities for our deep learning software platform. The three — NVIDIA DIGITS 4, CUDA Deep Neural Network Library (cuDNN) 5.1 and the new GPU Inference Engine (GIE) — are powerful tools that make it even easier to create solutions on our platform.”
Arguably the biggest driver of productivity and growth in the next decade, the Industrial Internet of Things will accelerate the reinvention of sectors that account for almost two-thirds of world output.