Optimizing Databricks workloads harness the power of Apache Spark in azure and maximize the performance of modern big data workloads

Accelerate computations and make the most of your data effectively and efficiently on Databricks Key Features Understand Spark optimizations for big data workloads and maximizing performance Build efficient big data engineering pipelines with Databricks and Delta Lake Efficiently manage Spark cluste...

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Bibliographic Details
Other Authors: Kala, Anirudh, author (author), Bhatnagar, Anshul, author, Sarbahi, Sarthak, author
Format: eBook
Language:Inglés
Published: Birmingham, England ; Mumbai : Packt [2021]
Edition:1st edition
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009645696106719
Table of Contents:
  • Optimizing Databricks Workloads: Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads