October 2021
Intermediate to advanced
746 pages
44h 42m
English
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Chapter 9: Structured, unstructured, and diverse databases
Abstract
We discuss structured, semi-structured, and unstructured data, which includes network, hierarchical, and relational databases, big data, Hadoop technology ecosphere, NoSQL databases, key-value stores, document stores, times series, graph, and object-oriented databases, web search engines, Resource Description Framework - RDF, wide column stores, native XML and JSON databases, realtime database, event stores, content store, multimodel databases, main memory databases. Novel applications such as streaming analytics and business intelligence platforms. We conclude with bitcoin and Ethereum mining via “doing work” on GPUs and FPPGAs.
Keywords
Hierarchical DB; network DB; relational DB; ...
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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.