O'Reilly Media – Learning Spark - Lightning-Fast Data Analytics (LearningSpark2.0)
Data is bigger, arrives faster, and comes in various 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 scientists why structure and unification in Spark matter. 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 production models using MLflow
Get Learning Spark - Lightning-Fast Data Analytics (LearningSpark2.0) or the other courses from the same one of these categories: Learning Spark, Lightning-Fast, Data Analytics, O'Reilly Media, Tathagata Das, Brooke Wenig, Jules Damji, Denny Lee, eBook for free on Course Sharing.
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