Learning Spark Book Reviews
Learning Spark by Jules S. Damji, Brooke Wenig, Tathagata Das & Denny Lee Book Summary
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 APIsUnderstand Spark operations and SQL EngineInspect, tune, and debug Spark operations with Spark configurations and Spark UIConnect to data sources: JSON, Parquet, CSV, Avro, ORC, Hive, S3, or KafkaPerform analytics on batch and streaming data using Structured StreamingBuild reliable data pipelines with open source Delta Lake and SparkDevelop machine learning pipelines with MLlib and productionize models using MLflow
Book Name | Learning Spark |
Genre | Computers & Internet |
Author | Jules S. Damji, Brooke Wenig, Tathagata Das & Denny Lee |
Published | 16 July 2020, Thursday |
Language | English |
E-Book Size | 16.46 MB |
Learning Spark (Jules S. Damji, Brooke Wenig, Tathagata Das & Denny Lee) Book Reviews 2024
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Download Link | Book Format |
learning-spark-ebook.pdf | |
learning-spark-ebook.epub | EPUB |
learning-spark-ebook.kindle | KINDLE |
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Summary of Learning Spark by Jules S. Damji, Brooke Wenig, Tathagata Das & Denny Lee
The Learning Spark book written by Jules S. Damji, Brooke Wenig, Tathagata Das & Denny Lee was published on 16 July 2020, Thursday in the Computers & Internet category. A total of 70 readers of the book gave the book 0 points out of 5.
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