See on Scoop.it – Corporate Challenge of Big Data
On this episode of Cube Conversations, Wikibon Analysts Stu Miniman and Jeff Kelly sit down to discuss some of the latest news coming out for IBM’s Watson…
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IBM
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See on Scoop.it – Corporate Challenge of Big Data
Apache™ Tez generalizes the MapReduce paradigm to a more powerful framework for near real-time big data processing.
See on hortonworks.com
See on Scoop.it – Corporate Challenge of Big Data
IBM scientist Jeff Jonas explains his approach to privacy and how he bakes data privacy into predictive analytics for SPSS Modeler.
While many executives have supported the notion of anonymizing personal data when using it to gain insights into consumer behavior, few have come to personify the evolution of the practice as much as Jeff Jonas, an IBM Fellow and Chief Scientist of the IBM Entity Analytics Group.
See on data-informed.com
See on Scoop.it – Corporate Challenge of Big Data
NoSQL: Next Generation Databases mostly addressing some of the points: being non-relational, distributed, open-source and horizontally scalable.
See on nosql-database.org
See on Scoop.it – Corporate Challenge of Big Data
Data analytics – the study of information with a view to using it to predict the future – could revolutionise the sport by helping coaches put together the strongest possible team based on such factors as a player’s health or stress levels.
See on www.bbc.co.uk
See on Scoop.it – Corporate Challenge of Big Data
Gartner is right about big data projects proceeding slowly in the corporate world. People are still figuring out how exactly big data works.
See on www.fiercebigdata.com
See on Scoop.it – Corporate Challenge of Big Data
IBM Big Data platform combined traditional data warehouse technologies with new Big Data techniques, such as Hadoop, stream computing, data exploration, analytics and enterprise integration, to create an integrated solution to address these critical needs.
See on www.toolsjournal.com
