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10 Big Data predictions for 2016

Mark Darbyshire, Chief Technologist at SAP UKI: “With the dawn of the ‘zettabyte era’, and the world churning out more than a trillion gigabytes of data, 2016 will see businesses looking to predictive analytics to uncover trends and patterns and gain unprecedented insight into customers, businesses and markets. More>>

7 Ways Semantic Technologies Make Data Make Sense

As unstructured data piles up, semantic technologies help organizations drive business value through a better understanding of the data they have, its value, and the relationships pieces of information have to each other. The volume and variety of data is exploding, and the race is on for organizations to make

Big Data Predictions For 2016

The hype around big data and analytics has gone through cycles over the past couple of years, starting with excitement about how much data we have and the potential for it. That moment was followed by that let-down, "now what?" feeling after organizations put the storage and tools in place

5 Ways 2015 changed enterprise software forever

The past year brought big changes to the core software applications and tools that companies use every day, and some of those shifts promise to have a particularly enduring impact. Here are five ways the past year changed enterprise software for good. More>>

SQL Server 2016 & Azure Data Lake

The latest Community Technology Preview (CTP) of SQL Server 2016 was announced at Microsoft’s PASS Summit. The new version keeps data continuously encrypted, whether in the database or while being transferred. Support for R statistical analysis has been added, along with the inclusion of the PolyBase facility within SQL Server.

Medical technologist drives semantic data lake development

A pivotal magazine article helped point medical doctor Parsa Mirhaji along a path to a semantic data lake for healthcare analytics applications, using Hadoop, RDF, graph databases and more. Nearly 15 years ago when Parsa Mirhaji -- then a doctor and medical researcher at the University of Texas -- picked

Big Data: Success Stories Beyond Hadoop

John Schroeder is the co-founder and CEO of MapR, one of the big names of the Big Data revolution and a key provider and enabler of many of its biggest success stories. I talked to Schroeder about the big data industry, their business, the most interesting use cases and his

Looking at Spark from a Hadoop Lens

An Insider’s Guide to Apache Spark is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting new computing framework. As one of the most exciting and widely adopted open-source projects, Apache Spark in-memory clusters are driving new opportunities for application

Big Data Opportunities Need Big Data Security

The adoption of big data analytics is rapidly growing. If you don’t get ahead of the curve, there’s big potential for big problems; but if you do plan ahead, there are big opportunities to successfully enable the business. You might be wondering what the big deal is — and what

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