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Optimizing Databricks Workloads - Anirudh Kala - Bog

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

Bag 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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781801819077
  • Indbinding:
  • Paperback
  • Sideantal:
  • 230
  • Udgivet:
  • 24. December 2021
  • Størrelse:
  • 75x93x0 mm.
  • 2-3 uger.
  • 23. Oktober 2024

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Medlemspris

Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af 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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