September 2017
Beginner to intermediate
360 pages
8h 13m
English
book
Practical Real-time Data Processing and Analytics
by Shilpi Saxena, Selva raj Ramasamy, Prateek Bhati, Saurabh Gupta
Content preview from Practical Real-time Data Processing and Analytics
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Summary
In this chapter, we explained what a data stream is and gave related examples, as well as looking at the real-time use cases related to data streams. We got readers acquainted and introduced setup and quick execution for different real-time data ingestion tools like Flume, NiFi, Logstash, and Fluentd. We also explained where these data ingestion tools stand in terms of reliability and scalability. Then, we tried to compare the data ingestion tools so that the reader could pick the tools as per the need for their use case, after comparing pros and cons. They can run the examples by running the code bundled in JAR easily on standalone as well as in cluster mode. In the end, we gave the reader a real-time problem to solve using data ...
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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.