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portada Learning Spark: Lightning-Fast Data Analytics
Type
Physical Book
Author
Publisher
Year
2020
Language
English
Pages
388
Format
Paperback
Dimensions
23.4 x 17.8 x 2.3 cm
Weight
0.64 kg.
ISBN13
9781492050049
Edition No.
0002
Categories

Learning Spark: Lightning-Fast Data Analytics

Jules Damji (Author) · Brooke Wenig (Author) · Tathagata Das (Author) · O'Reilly Media · Paperback

Learning Spark: Lightning-Fast Data Analytics - Damji, Jules ; Wenig, Brooke ; Das, Tathagata

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Synopsis "Learning Spark: Lightning-Fast Data Analytics "

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

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