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Product details:
- ISBN-10 : 1617295523
- ISBN-13 : 9781617295522
- Author: Jean-Georges Perrin
Summary
The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any source. In Spark in Action, Second Edition, you’ll learn to take advantage of Spark’s core features and incredible processing speed, with applications including real-time computation, delayed evaluation, and machine learning. Spark skills are a hot commodity in enterprises worldwide, and with Spark’s powerful and flexible Java APIs, you can reap all the benefits without first learning Scala or Hadoop.
Foreword by Rob Thomas.
Table of contents:
PART 1 – THE THEORY CRIPPLED BY AWESOME EXAMPLES
1 So, what is Spark, anyway?
2 Architecture and flow
3 The majestic role of the dataframe
4 Fundamentally lazy
5 Building a simple app for deployment
6 Deploying your simple app
PART 2 – INGESTION
7 Ingestion from files
8 Ingestion from databases
9 Advanced ingestion: finding data sources and building
your own
10 Ingestion through structured streaming
PART 3 – TRANSFORMING YOUR DATA
11 Working with SQL
12 Transforming your data
13 Transforming entire documents
14 Extending transformations with user-defined functions
15 Aggregating your data
PART 4 – GOING FURTHER
16 Cache and checkpoint: Enhancing Spark’s performances
17 Exporting data and building full data pipelines
18 Exploring deployment
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