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IoT: From the Lens of the Enterprise

In this contributed article, Don DeLoach, CEO and President of Infobright, examines the three different types of vendors that have emerged within an IoT-centric landscape.

data.world Secures Nearly $19 Million in Venture Capital Funding

data.world, the social network for data people, today announced it has closed $18.7 million in venture capital funding at double the valuation of its previous round. This second round brings the total amount of capital raised to $32.7 million and places data.world among the technology sector’s top-5 venture-backed Certified B Corporations of all time. The new capital will be used to fund rapid progress toward the company’s mission to build the most meaningful, collaborative, and abundant data resource in the world.

Bigger is Better: Why Enterprise Analytics Needs Scale

In this special guest feature, Andrew Pease, Principal Business Solutions Manager at SAS, discusses why enterprise analytics must incorporate scale and its relation to speed and innovation within an organization.

New Release of Couchbase Data Platform Powers Always-On Digital Business Applications Across All Channels and Devices with Advanced Security

Couchbase, Inc., a NoSQL leader, announced a new release of the Couchbase data platform that powers web, mobile and IoT (Internet of Things) applications for digital businesses. The enhanced product suite now provides easier global application deployments, advanced security capabilities and greater development flexibility, and includes Couchbase Server 4.6, Couchbase Sync Gateway 1.4, Couchbase Kafka Connector 3.0 and Couchbase Spark Connector 2.0.

“Above the Trend Line” – Your Industry Rumor Central for 2/20/2017

Above the Trend Line: machine learning industry rumor central, is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Uncovering Opportunities at the Intersection of Public and Private Data

In this special guest feature, Hicham Oudghiri, CEO and Co-Founder at Enigma, discusses how data analysis as a tool for solving problems requires an understanding that the answer lies within the data set, either in the form of an insight or actionable anomaly. As businesses turn to analytics more to solve their everyday issues, it is important to understand what data can and can’t do, and to understand how to identify which data sets in a sea of data can help solve the problem at hand.

Introducing Hazelcast Jet – A New Lightweight, Distributed Data Processing Engine

Hazelcast, a leading open source in-memory data grid (IMDG) with hundreds of thousands of installed clusters and over 17 million server starts per month, today launched Hazelcast Jet – a distributed processing engine for big data streams. With Hazelcast’s IMDG providing storage functionality, Hazelcast Jet is a new Apache 2 licensed open source project that performs parallel execution to enable data-intensive applications to operate in near real-time.

Top Six 2017 Predictions for Application Integration

Software AG released it’s top six predictions for Application Integration in 2017. According to David Overos, director of product marketing for integration at Software AG: “Integration is no longer your IT department’s problem; it is everyone’s problem.

Syncsort’s Annual Mainframe Survey Spotlights Big Iron’s Critical Role in Big Data Analytics

Syncsort, a global leader in Big Iron to Big Data solutions, announced the results from its annual “State of the Mainframe” survey, which underscore the rising importance of mainframe data as a critical component of enterprise-wide strategies that leverage modern data architectures for Big Data analytics.

Machine Learning: Why it Matters?

In this contributed article, Smita Adhikary, Managing Consultant at Big Data Analytics Hires, provides a whirlwind overview of machine learning technology and why it’s important to increasing the value of enterprise data assets.