August 2013
Beginner to intermediate
142 pages
3h 32m
English
Content preview from Big Data Analytics
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Chapter 9
NoSQL Data Management for Big Data
In this chapter we look at a variety of alternative methods of data management methods that are being adopted for big data application development. We discuss the concepts of NoSQL – “Not Only SQL” – and describe schema-less models for data manipulation. We look at a number of NoSQL paradigms: the key-value store, document stores, tabular stores, object data stores, and graph databases. The discussion contrasts the use of the traditional relational data model with these different alternatives, and shares thoughts about the suitability of these alternative data management approaches to a big data environment
Keywords
NoSQL; not only SQL; schema-less models; schema-less modeling; key-value store; document ...
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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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.