November 2014
Beginner to intermediate
320 pages
7h 56m
English
book
Digital Exhaust: What Everyone Should Know About Big Data, Digitization and Digitally Driven Innovation
by Dale Neef
Content preview from Digital Exhaust: What Everyone Should Know About Big Data, Digitization and Digitally Driven Innovation
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9. Big Data Technologies
Key Chapter Points
• Big Data management technologies have their origins in the concepts that originated with enterprise resource planning (ERP) and other enterprise business systems.
• Big Data analysis capabilities evolved from Google and Yahoo!’s use of massive parallel processing and Hadoop/MapReduce technologies.
• Because traditional relational database management systems don’t work well with unstructured data, new non-relational databases have emerged.
• These new technologies can produce significant cost savings and provide unique analysis but are not intended for business-critical data.
• These Big Data technologies are increasingly available to users to buy or to access through the cloud.
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.