Disruptive Possibilities: How Big Data Changes Everything
Provides an historically-informed overview of big data through a wide range of topics, from the evolution of commodity supercomputing and the simplicity of big data technology, to the ways conventional clouds differ from Hadoop analytics clouds.
Tag(s): Big Data Data Science
Publication date: 08 Jul 2013
ISBN-10: 1449369677
ISBN-13: 9781449369675
Paperback: 77 pages
Views: 8,498
Disruptive Possibilities: How Big Data Changes Everything
Amazon.com wrote:Big data has more disruptive potential than any information technology developed in the past 40 years. As author Jeffrey Needham points out in this revealing book, big data can provide unprecedented visibility into the operational efficiency of enterprises and agencies.
Disruptive Possibilities provides an historically-informed overview through a wide range of topics, from the evolution of commodity supercomputing and the simplicity of big data technology, to the ways conventional clouds differ from Hadoop analytics clouds. This relentlessly innovative form of computing will soon become standard practice for organizations of any size attempting to derive insight from the tsunami of data engulfing them.
Replacing legacy silos—whether they’re infrastructure, organizational, or vendor silos—with a platform-centric perspective is just one of the big stories of big data. To reap maximum value from the myriad forms of data, organizations and vendors will have to adopt highly collaborative habits and methodologies.
About The Author(s)
Jeff Needham is the founder of Scale Abilities, Inc., a Silicon Valley consulting firm, and does ecosystem platform engineering at Hortonworks in Palo Alto, California. With 25 years experience in both hardware and software engineering, he is a frequent writer and speaker on topics of database performance and scalability, platform engineering and Hadoop cluster technology.
Jeff Needham is the founder of Scale Abilities, Inc., a Silicon Valley consulting firm, and does ecosystem platform engineering at Hortonworks in Palo Alto, California. With 25 years experience in both hardware and software engineering, he is a frequent writer and speaker on topics of database performance and scalability, platform engineering and Hadoop cluster technology.