Operational Database Management Systems
The Prescribed Value of Data over Time. by Anirudh Todi (Senior Software Engineer at Twitter) There is no dispute; data is growing exponentially…and it will continue to grow, both in volume and complexity. In...
(The Need for) A Global Resource Manager for Data Analytics Clusters by Ganesh Ananthanarayanan, Researcher at Microsoft Research The necessity to process large quantities of data has led to widespread adoption of data parallel...
Positioning CortexDB in Hadoop Data Architectures Extending the Data Warehouse and beyond An analysis by the WOLFGANG MARTIN TEAM, October 2014. © 2014 S.A.R.L. Martin Contents 1. Management Summary . . . . ....
Magic Quadrant for Operational Database Management Systems 16 October 2014 ID:G00261660 Analyst(s): Donald Feinberg, Merv Adrian, Nick Heudecker VIEW SUMMARY The operational DBMS market continues to grow, with innovative products and features being delivered by both...
Oracle on NoSQL Architecture and Implementation. Robert Greene – NoSQL Evangelist / Product Manager at Oracle If you’ve been paying attention to the NoSQL market, you’ve likely realized that there is no “one size...
Christine Kirkpatrick is the Division Director for IT Systems & Services at the San Diego Supercomputer Center, University of California San Diego. Christine is a principle member of the Institute for Data Science &...
I Heart Logs Event Data, Stream Processing, and Data Integration By Jay Kreps Publisher: O’Reilly Media Final Release Date: September 2014 Why a book about logs? That’s easy: the humble log is an abstraction that lies at...
Kapil Surlaker leads the Data Analytics Infrastructure team at LinkedIn, where he’s responsible for core analytics infrastructure platforms including Hadoop, Spark, other computation frameworks such as Cubert and Pinot, an OLAP serving store. Previously,...
The Biggest Opportunity is the Network Of Things. By Ken Birman, N. Rama Rao Professor of Computer Science at Cornell University. October 2014. Big Data researchers often focus on problems that start after the data...
Bringing Big Data Analytics to a Traditional DBMS. by Carlos Ordonez, University of Houston. – October 2014. Big Data is a fuzzy term with a broad meaning, used to refer to data sets so...