Operational Database Management Systems
Recapping 2015 at Objectivity by John J. Jarrell, President and CEO, Objectivity| Dec 22, 2015 2015 marked an exciting year for all of us at Objectivity due to three important developments: we saw the continuing emergence of...
Peacocking by Nick Quinn, Principal Architect of InfiniteGraph | Jan 6, 2016 | This is a blog examining the use of signaling in applications that provide recommendations as a use case for graph databases. After reading books like “Freakonomics,”...
RIP Big Data By Carl Olofson, Research Vice President, Data Management Software Research, IDC When the design of computers and networks reached a critical state in terms of memory size, processor capacity, and speed of inter-system communication,...
Have we closed the “digital divide”, or is it just getting wider? Andrea Powell, CIO, CABI With the ubiquity of mobile phones in the developing world driving the global growth in mobile broadband subscriptions, you...
Time for Harmonization across the Data Landscape Peter Wittenburg (RDA Europe Director) The trends towards more and more complex data and a growing number of computational solutions in almost all scientific disciplines are well...
Distributed Graph Partitioning Made Feasible Authors: Fatemeh Rahimian (fatemeh at sics.se) and Amir H. Payberah (amir at sics.se) Affiliation: SICS Swedish ICT (www.sics.se) Our world is increasingly connected, and this is changing our lives...
ODBMS.org Q&A with Shawn Rogers, Chief Research Officer, Dell Statistica: 2016 Analytics Predictions “A ‘citizen data scientist’ is an everyday, non-technical user that lacks the statistical and analytical prowess of a traditional data scientist,...
Semantics vs Separation of Concerns across the IT Architecture Disciplines BY Rupert D.E. Brown – CTO:- Financial Services MarkLogic Corporation Where are we today? If you go to any IT conference in the...
Machine Learning in Python: Essential Techniques for Predictive Analysis Michael Bowles ISBN: 978-1-118-96174-2 360 pages May 2015 Read an Excerpt Description Learn a simpler and more effective way to analyze data and predict outcomes...
Cognitive Computing and Big Data Analytics Judith Hurwitz, Marcia Kaufman, Adrian Bowles ISBN: 978-1-118-89662-4 288 pages April 2015 Description A comprehensive guide to learning technologies that unlock the value in big dataCognitive Computing provides detailed guidance...