[PDF/Kindle] Learning Spark: Lightning-Fast Data Analytics by Jules S. Damji, Brooke Wenig, Tathagata Das, Denny Lee
Learning Spark: Lightning-Fast Data Analytics. Jules S. Damji, Brooke Wenig, Tathagata Das, Denny Lee

Learning-Spark-Lightning-Fast.pdf
ISBN: 9781492050049 | 300 pages | 8 Mb

- Learning Spark: Lightning-Fast Data Analytics
- Jules S. Damji, Brooke Wenig, Tathagata Das, Denny Lee
- Page: 300
- Format: pdf, ePub, fb2, mobi
- ISBN: 9781492050049
- Publisher: O'Reilly Media, Incorporated
Ebooks zip free download Learning Spark: Lightning-Fast Data Analytics in English
Data is getting bigger, arriving faster, and coming in varied formats—and it all needs to be processed at scale for analytics or machine learning. How can you process such varied data workloads efficiently? Enter Apache Spark.Updated to emphasize new features in Spark 2.x., this second edition shows data engineers and 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 discourse, code snippets, and notebooks, you’ll be able to: Learn Python, SQL, Scala, or Java high-level APIs: DataFrames and Datasets Peek under the hood of the Spark SQL engine to understand Spark transformations and performance Inspect, tune, and debug your 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 Use open source Pandas framework Koalas and Spark for data transformation and feature engineering
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Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to
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Computers, Internet, Programming Learning Spark – Lightning-Fast Data Analytics, 2nd Edition N/A | 399 pages | Publisher: N/A | Author: Jules S. Damji, Brooke
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How can you work with it efficiently? This book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast
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