By Mike Barlow
ISBN-10: 1449364217
ISBN-13: 9781449364212
5 - 6 years in the past, analysts operating with colossal datasets made queries and acquired the consequences again in a single day. the knowledge global was once revolutionized many years in the past whilst Hadoop and different instruments made it attainable to get the implications from queries in mins. however the revolution keeps. Analysts now call for sub-second, close to real-time question effects. thankfully, we now have the instruments to convey them. This document examines instruments and applied sciences which are riding real-time enormous information analytics.
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Extra info for Real-Time Big Data Analytics: Real-Time Big Data Analytics
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Info About the Author Mike Barlow is an award-winning journalist, author and communi‐ cations strategy consultant. Since launching his own firm, Cumulus Partners, he has represented major organizations in numerous indus‐ tries. Mike is coauthor of The Executive’s Guide to Enterprise Social Media Strategy (Wiley, 2011) and Partnering with the CIO: The Future of IT Sales Seen Through the Eyes of Key Decision Makers (Wiley, 2007). He is also the writer of many articles, reports, and white papers on marketing strategy, marketing automation, customer intelligence, business performance management, collaborative social networking, cloud computing, and big data analytics.
Right now, everyone thinks that analytics technology is sexy. But the real challenge isn’t transforming the technology — the real challenge is transforming the people and the processes. info About the Author Mike Barlow is an award-winning journalist, author and communi‐ cations strategy consultant. Since launching his own firm, Cumulus Partners, he has represented major organizations in numerous indus‐ tries. Mike is coauthor of The Executive’s Guide to Enterprise Social Media Strategy (Wiley, 2011) and Partnering with the CIO: The Future of IT Sales Seen Through the Eyes of Key Decision Makers (Wiley, 2007).
We have lots of specific knowledge that’s already mapped — that’s why we can react and respond much more quickly than most of our machines. Our intelligence is distributed, not highly centralized, so more of it resides at the edge. That means we can find it and retrieve it quicker. ” As information technology systems become less monolithic and more distributed, real-time big data analytics will become less exotic and more commonplace. The various technologies of data science will be industrialized, costs will fall and eventually real-time analytics will become a commodity.
Real-Time Big Data Analytics: Real-Time Big Data Analytics by Mike Barlow
by Mark
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