July 2017
Beginner to intermediate
216 pages
7h 23m
English
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List of Tables
Chapter 1. Introducing streaming data
Chapter 3. Transporting the data from collection tier: decoupling the data pipeline
Table 3.1. Tradeoffs of a message queuing system
Table 3.2. Fraud detection scenario questions
Chapter 4. Analyzing streaming data
Table 4.1. Comparison of traditional DBMS to streaming system
Chapter 5. Algorithms for data analysis
Table 5.1. Stream-processing framework query language support
Table 5.2. Sliding window support in popular stream-processing frameworks
Table 5.3. Tumbling window support in popular stream-processing frameworks
Chapter 7. Making the ...
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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.