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Optimizing Databricks Workloads

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

af Anirudh Kala, Sarthak Sarbahi, Anshul Bhatnagar
Optimizing Databricks Workloads af Anirudh Kala
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.
  • 5. december 2024

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- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding

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Ingen binding og kan opsiges når som helst.

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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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