ler totalmente 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

Procurando Learning Spark: Lightning-Fast Data Analytics? Aqui você encontra tudo sobre este livro de Jules S. Damji, publicado por O'Reilly Media em 25 de agosto de 2020. Nesta página estão a descrição da obra, os detalhes da edição (397 páginas) e os formatos disponíveis para baixar: pdf, epub, txt, djvu. Se você gosta de Livros Internacionais, Ciências Tecnológicas, Matemática, Análise Matemática, explore também outros títulos da mesma categoria no Encontrando os melhores livros. Veja ainda as outras obras de Jules S. Damji em nosso catálogo.