September 2016
Beginner to intermediate
326 pages
6h 47m
English
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Summary
Spark Streaming is based on a micro-batching model that is suitable for applications with throughput and high latency (> 0.5 seconds). Spark Streaming's DStream API provides transformations and actions for working with DStreams, including conventional transformations, window operations, output actions, and stateful operations such as updateStateByKey. Spark Streaming supports a variety of input sources and output sources used in the Big Data ecosystem. Spark Streaming supports the direct approach with Kafka, which really provides great benefits such as exactly once processing and avoiding WAL replication.
There are two types of failures in a Spark Streaming application; executor failure and driver failure. Executor failures are automatically ...
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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.