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Optimizing Databricks Workloads

- Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads

Om Optimizing Databricks Workloads

The book takes a hands-on approach to speeding up your Spark jobs and data processing by covering the implementation and associated methodologies that will have you up and running in no time. Developers working with Databricks and Spark will be able to put their knowledge to work with this practical guide to optimizing workloads.

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  • Språk:
  • Engelska
  • ISBN:
  • 9781801819077
  • Format:
  • Häftad
  • Sidor:
  • 230
  • Utgiven:
  • 24. december 2021
  • Mått:
  • 75x93x0 mm.
  Fri leverans
Leveranstid: 2-4 veckor
Förväntad leverans: 17. december 2024

Beskrivning av Optimizing Databricks Workloads

The book takes a hands-on approach to speeding up your Spark jobs and data processing by covering the implementation and associated methodologies that will have you up and running in no time. Developers working with Databricks and Spark will be able to put their knowledge to work with this practical guide to optimizing workloads.

Användarnas betyg av Optimizing Databricks Workloads



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