Bigstep, the big data cloud provider, announced the launch of Bigstep DataLab, a solution designed to enable data science and analytics at scale. Bigstep DataLab is an enterprise-ready data research service that gives domain experts, data scientists and BI specialists instant access to powerful software like Apache Spark and Jupyter for easier, more flexible and collaborative ad-hoc data exploration and research.
Looker, the company that is powering data-driven businesses, released Data Actions — the seamless integration of fully functional 3rd-party business processes into a data platform. Looker customers can now take immediate action on discovered actionable analysis directly from within Looker, dramatically simplifying workflows and improving productivity.
Loggly, the company behind the cloud-based, enterprise-class log management service, announced Gamut™ Search, the log analysis technology specifically designed to respond instantly for searches over massive data volumes covering long time periods. Rather than waiting hours or days for a query to complete, the new capabilities enable users to begin analyzing the entire range, or the “gamut” of their log data, immediately, in a highly interactive fashion.
Contributed by Daniel D. Gutierrez, Managing Editor of insideBIGDATA, this is the first article in a series focusing on a technology that is rising in importance to enterprise use of big data – IoT Analytics, or the analytical component of the Internet-of-Things. In this first segment, we’ll set the stage for our discussion by providing an overview of the Internet-of-Things. The Internet of Things (IoT) is an emerging theme with wide technical, social, and economic significance. Consumer products, durable goods, automobiles, industrial equipment, utilities, various sensors, and other everyday devices are being combined with Internet connectivity and powerful analytics capabilities that promise to be transformative in terms of the way we live, work, and play.
Litmus Automation, an Internet of Things (IoT) platform provider, announced the immediate availability of LoopEdge, the world’s first ever edge-level marketplace for IoT gateways. LoopEdge allows applications to be deployed on the edge, and provides an industrial driver marketplace which enables any gateway to interact easily with proprietary protocols from various vendors.
In this special feature, Steve Wilkes, co-founder and CTO at Striim, Inc. the real-time data integration and streaming analytics platform, offers his top predictions for 2017 on how real-time data integration and streaming analytics will impact the many areas it touches, including Cloud, IoT, Integration, Analytics, Big Data and Security.
Kx Streaming Analytics Demo Easily Crunches 1.2 Billion NYC Taxi Data Points Using Standard Intel Xeon Phi
In this contributed article, tech writer Sean Thielen describes how Kx crunches a 1.2 billion record database of New York City taxi cab ride data to demonstrate what the Intel Xeon Phi processor could mean to distributed big data processing.
Unisys Survey Finds Airports’ Investment in Analytics Technology Set to Soar as Digital Transformation Needs Take Flight
New research from Unisys Corporation (NYSE: UIS) reveals that airports expect to fully embrace more advanced analytics solutions in the coming years, with potential applications for use across several key areas within the airport ecosystem. Unisys conducted the survey of 29 airport executives and industry professionals at the Airports Council International – North America Annual Conference and General Assembly held in Montreal, September 25-28, 2016.
Datawatch Panopticon 16 Offers Advanced Real-Time Streaming Data Analytics and Visualization Capabilities for Capital Markets
Datawatch Corporation announced the general availability of Datawatch Panopticon 16, an advanced visual analytics platform for the capital markets industry. The latest version of this proven solution provides faster trading analytics for expedited time-to-insight and addresses the need for real-time and historic views for trading effectiveness. Exchanges, buy-side and sell-side firms can now quickly integrate real-time streaming, intra-day and historic datasets into HTML5 analytical dashboards for faster and more informed decision-making.
Hewlett Packard Enterprise Enriches HPE IDOL Machine Learning Engine with Natural Language Processing
Hewlett Packard Enterprise (NYSE:HPE) announced a new release of its flagship unstructured data analytics engine, HPE IDOL, featuring advanced Natural Language Question Answering. The new version of HPE IDOL leverages advanced machine learning functionality to improve the effectiveness and contextual accuracy of human interactions with computers.