Book description
- Discover the functional programming features of Scala
- Understand the complete architecture of Spark and its components
- Integrate Apache Spark with Hive and Kafka
- Use Spark SQL, DataFrames, and Datasets to process data using traditional SQL queries
- Work with different machine learning concepts and libraries using Spark's MLlib packages
Table of contents
- Cover
- Front Matter
- 1. Scala: Functional Programming Aspects
- 2. Single and Multinode Cluster Setup
- 3. Introduction to Apache Spark and Spark Core
- 4. Spark SQL, DataFrames, and Datasets
- 5. Introduction to Spark Streaming
- 6. Spark Structured Streaming
- 7. Spark Streaming with Kafka
- 8. Spark Machine Learning Library
- 9. Working with SparkR
- 10. Spark Real-Time Use Case
- Back Matter
Product information
- Title: Practical Apache Spark: Using the Scala API
- Author(s):
- Release date: December 2018
- Publisher(s): Apress
- ISBN: 9781484236529
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