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>>
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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
5 Ways 2015 changed enterprise software forever
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
Paysafe says current accounts safe from 2009-10 data breach
Big Data: Success Stories Beyond Hadoop
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