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Optimizing Databricks Workloads: Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads Anirudh Kala
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Optimizing Databricks Workloads: Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads
Anirudh Kala
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.
230 pages
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2021. gada 24. decembris |
| ISBN13 | 9781801819077 |
| Izdevēji | Packt Publishing Limited |
| Lapas | 230 |
| Izmēri | 75 × 93 × 12 mm · 403 g |
| Valoda | Angļu |
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