Learning Spark: Lightning-Fast Data Analytics (pdf)

$20.00

Author Jules S. Damji, Brooke Wenig, Tathagata Das, Denny Lee
Edition 2
Edition Year 2020
Format PDF
ISBN 9781492050049
Language English
Number Of Pages 400
Publisher O’Reilly Media

Description

Updated to include Spark 3.0, this second edition shows data engineers and data scientists why structure and unification in Spark matters. Specifically, this book explains how to perform simple and complex data analytics and employ machine learning algorithms. Through step-by-step walk-throughs, code snippets, and notebooks, you’ll be able to:

  • Learn Python, SQL, Scala, or Java high-level Structured APIs
  • Understand Spark operations and SQL Engine
  • Inspect, tune, and debug Spark operations with Spark configurations and Spark UI
  • Connect to data sources: JSON, Parquet, CSV, Avro, ORC, Hive, S3, or Kafka
  • Perform analytics on batch and streaming data using Structured Streaming
  • Build reliable data pipelines with open source Delta Lake and Spark
  • Develop machine learning pipelines with MLlib and productionize models using MLflowData is bigger, arrives faster, and comes in a variety of formats—and it all needs to be processed at scale for analytics or machine learning. But how can you process such varied workloads efficiently? Enter Apache Spark.

Additional information

Author

Jules S. Damji, Brooke Wenig, Tathagata Das, Denny Lee

Edition

2

Edition Year

2020

Format

PDF

ISBN

9781492050049

Language

English

Number Of Pages

400

Publisher

O'Reilly Media

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