Practical Apache Spark
Using the Scala API
(Sprache: Englisch)
Work with Apache Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses various components of Spark such as Spark Core, DataFrames, Datasets and SQL, Spark Streaming, Spark MLib, and R on Spark...
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Klappentext zu „Practical Apache Spark “
Work with Apache Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses various components of Spark such as Spark Core, DataFrames, Datasets and SQL, Spark Streaming, Spark MLib, and R on Spark with the help of practical code snippets for each topic. Practical Apache Spark also covers the integration of Apache Spark with Kafka with examples. You'll follow a learn-to-do-by-yourself approach to learning - learn the concepts, practice the code snippets in Scala, and complete the assignments given to get an overall exposure. On completion, you'll have knowledge of the functional programming aspects of Scala, and hands-on expertise in various Spark components. You'll also become familiar with machine learning algorithms with real-time usage.
What You Will Learn
- Discover the functional programming features of Scala
- Understand the completearchitecture 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
Who This Book Is For
Developers and professionals who deal with batch and stream data processing.
Inhaltsverzeichnis zu „Practical Apache Spark “
1. Scala - Functional Programming Aspects. - 2. Single & Multi-node cluster setup. - 3. Introduction to Apache Spark and Spark Core. - 4. Spark SQL, Dataframes & 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.Autoren-Porträt von Subhashini Chellappan, Dharanitharan Ganesan
Subhashini Chellappan is a technology enthusiast with expertise in the big data and cloud space. She has rich experience in both academia and the software industry. Her areas of interest and expertise are centered on business intelligence, big data analytics and cloud computing.Bibliographische Angaben
- Autoren: Subhashini Chellappan , Dharanitharan Ganesan
- 2018, 1st ed., XVI, 280 Seiten, Maße: 17,8 x 25,4 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1484236513
- ISBN-13: 9781484236512
- Erscheinungsdatum: 13.12.2018
Sprache:
Englisch
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