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Learning Spark

By Damji, Jules S.

Learning Spark

0 - Used - very good
Description
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
Product details
Binding:
Paperback
Edition:
2
Number of Pages:
397
Release Date:
2020-08-11
Publication Date:
2020-08-31
Publisher:
O'Reilly Media
Languages:
Original: English
ISBN10:
1492050040
ISBN13:
9781492050049
GPSR Manufacturer Reference:
[email protected]
Weight:
697 g
Height:
179 cm
Width:
233 cm
Thickness:
23 cm
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