In this contributed article, technology writer and blogger Kayla Matthews takes a high level view of big data by discussing how big data systems can help influence decision-making to reveal important insights. But it’s not always right. The algorithms and systems that big companies are using must be transparent enough that people can challenge decisions that have been made.
This is the second 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 segment, we’ll discuss the marriage of IoT analytics and the cloud. The cloud is enabling innovation and driving the adoption of many new and powerful technologies, and IoT is no exception. One characteristic of many IoT applications is they generate “too much data.” You don’t necessarily know the value of that data and the process tends to be very elastic.
1010data, Inc., offering the integrated platform that combines self-service data management and analytics at scale with ready-to-use data, announced the release of Version 10 of its platform. For companies requiring deep insights into their business and customers, Version 10 provides increased self-service and makes it even easier to load, analyze and visualize enterprise-class data, and to write queries, debug errors and deploy user-friendly applications with its entirely redesigned and optimized GUI interface.
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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.