May 2019
Intermediate to advanced
344 pages
10h 44m
English
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About this book
Writing real-world applications in a data-rich environment can feel like being caught in the cross fire of a paintball battle. Any action may require you to combine event streams, batch archives, and live user or system requests in real time. Unified log processing is a coherent data processing architecture designed to encompass batch and near-real-time stream data, event logging and aggregation, and data processing on the resulting unified event stream. By efficiently creating a single log of events from multiple data sources, unified log processing makes it possible to design large-scale data-driven applications that are easier to design, deploy, and maintain.
Who should read this book
This book is written for readers who ...
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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.
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.