High performance Spark : best practices for scaling and optimizing Apache Spark

High performance Spark best practices for scaling and optimizing Apache Spark

Apache Spark is amazing when everything clicks. But if you haven’t seen the performance improvements you expected, or still don’t feel confident enough to use Spark in production, this practical book is for you. Authors Holden Karau and Rachel Warren demonstrate performance optimizations to help you...

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Detalles Bibliográficos
Otros Autores: Karau, Holden, author (author), Warren, Rachel, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Beijing, [China] : O'Reilly 2017.
Edición:First edition
Materias:
Spark (Electronic resource : Apache Software Foundation)
Big data.
Data mining > Computer programs.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630235806719
Tabla de Contenidos:
  • Table of Contents : Preface
  • 1. Introduction high performance Spark
  • 2. How Spark works
  • 3. Dataframes, datasets, and Spark SQL
  • 4. Joins (SQL and Core)
  • 5. Effective transformations
  • 6. Working with Key/Value Data
  • 7. Going beyond Scala
  • 8. Testing and validation
  • 9. Spark MLlib and ML
  • 10. Spark components and packages
  • A. Tuning, debugging and other things developers like to pretend don't exist
  • Index.

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