Learning Spark: Lightning-Fast Data Analytics, Second Edition

Author: Tathagata Das

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9789385889059
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    All Indian Reprints of O'Reilly are printed in Grayscale

    Data 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.

    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 MLflow
    Books
    Author
    Tathagata Das
    Author
    Jules S. Damji
    Author 2
    Brooke Wenig
    Binding
    Paperback
    Condition Type
    New
    Country Origin
    India
    Edition
    Second
    Gift Wrap
    N
    Lead time to ship in days (if not in stock)
    ships in 12-15 days
    Leadtime to ship in days (default)
    ships in 1-2 days
    Pages
    400
    Publication Date
    20/08/2020
    Publisher
    Shroff/O'Reilly
    Year
    2020
    Dimensions
    Dimensions (W x H x D)
    7 x 9 x .8 inch

    Table of Contents (9789385889059_toc.pdf, 183 Kb) [Download]

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