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Optimizing Databricks Workloads
- Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads
- Binding:
- Paperback
- Pages:
- 230
- Published:
- December 24, 2021
- Dimensions:
- 75x93x0 mm.
Delivery:
1-2 weeks
Expected delivery: October 17, 2024
Description of 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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