June 2019
Beginner to intermediate
452 pages
10h 42m
English
Content preview from Stream Processing with Apache SparkBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Index
A
- AARFF (attribute-relation file format), streamDM Introduction
- actions, The First Wave: Functional APIs, Spark Components
- advanced stateful operations
- flatMapGroupsWith State, Using FlatMapGroupsWithState-When a timeout actually times out
- group with state operations, Understanding Group with State Operations
- mapGroupsWithState, Using MapGroupsWithState-Using MapGroupsWithState
- overview of, Advanced Stateful Operations
- advanced streaming techniques
- algorithms for streaming approximation and sampling, Streaming Approximation and Sampling Algorithms-Stratified Sampling
- real-time machine learning, Real-Time Machine Learning-Streaming K-Means with Spark Streaming
- aggregations
- capabilities of Spark Streaming, Time-Based Stream Processing
- defined, Transformations and Aggregations
- time-based (Structured Streaming API), Event Time–Based Stream Processing
- using composite keys, Using Composite Aggregation Keys
- using custom criteria, Advanced Stateful Operations
- window, Window Aggregations
- window (Spark Streaming API), Window Aggregations
- Akka, Where to Find More Sources
- algorithms (see also real-time machine learning)
- approximation algorithms, Approximation Algorithms
- CountMinSketches (CMS), Counting Element Frequency: Count Min Sketches-Computing Frequencies with a Count-Min Sketch
- exact versus approximation, Streaming Approximation and Sampling Algorithms
- exactness, real-time, and big data triangle, Exactness, Real Time, and Big Data-Big Data and Real Time
- hashing and sketching, Hashing and Sketching: An ...
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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.