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Learning Spark

Learning Spark

Lightning-Fast Data Analytics

by Denny LeeBrooke Wenig Tathagata Das and others
Paperback
Publication Date: 31/08/2020

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Data is bigger, arrives faster, and comes in a variety of formatsâ 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.

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, youâ 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 MLflow
ISBN:
9781492050049
9781492050049
Category:
Enterprise software
Format:
Paperback
Publication Date:
31-08-2020
Language:
English
Publisher:
O'Reilly Media, Incorporated
Country of origin:
United States
Edition:
2nd Edition
Dimensions (mm):
233x178x25mm
Weight:
0.64kg

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