January 2016
Beginner to intermediate
304 pages
8h 16m
English
book
Big Data Analytics with Spark: A Practitioner’s Guide to Using Spark for Large-Scale Data Processing, Machine Learning, and Graph Analytics, and High-Velocity Data Stream Processing
by Mohammed Guller
Content preview from Big Data Analytics with Spark: A Practitioner’s Guide to Using Spark for Large-Scale Data Processing, Machine Learning, and Graph Analytics, and High-Velocity Data Stream Processing
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CHAPTER 6
Spark Streaming
Batch processing of historical data was one of the first use cases for big data technologies such as Hadoop and Spark. In batch processing, data is collected for a period of time and processed in batches. A batch processing system processes data spanning from hours to years, depending on the requirements. For example, some organizations run nightly batch processing jobs, which process data collected throughout the day by various systems.
Batch processing systems have high latency. Depending on the volume of data, it may take anywhere from a few minutes to a few hours to process a batch. Some organizations run nightly ...
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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.