• Big Data Processing with Apache Spark – Part 1: Introduction

    by Srini Penchikala on  Jan 30, 2015 3

    Apache Spark is an open source big data processing framework built around speed, ease of use, and sophisticated analytics. In this article, Srini Penchikala talks about how Apache Spark framework helps with big data processing and analytics with its standard API. He also discusses how Spark compares with traditional MapReduce implementation like Apache Hadoop.

  • Improving Data Management with the DMM

    by Ben Linders on  Sep 15, 2014

    The CMMI Institute has launched the Data Management Maturity (DMM)SM model. It can be used to improve data management, helping organizations to bridge the gap between business and IT. Using the DMM, organizations can evaluate and improve their data management practices. The model leverages the principles, structure, and proven approach of the Capability Maturity Model Integration (CMMI).

  • Cindy Walker on Data Management Best Practices and Data Analytics Center of Excellence

    by Srini Penchikala on  Jul 13, 2014

    Cindy Walker spoke at Enterprise Data World Conference about using semantic approaches to augment the data management practices. InfoQ spoke with her about the data management best practices and the data analytics center of excellence initiative.

Interview and Book Review: NoSQL Distilled

Posted by Srini Penchikala on  Nov 29, 2012

InfoQ spoke with NoSQL Distilled book authors, Pramod Sadalage and Martin Fowler about NoSQL database space and the emerging trends in NoSQL.

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