Anirudh Kala, Anshul Bhatnagar, Sarthak Sarbahi

Optimizing Databricks Workloads (eBook, ePUB)

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

• Format: ePub

Produktbeschreibung

Databricks is an industry-leading, cloud-based platform for data analytics, data science, and data engineering supporting thousands of organizations across the world in their data journey. It is a fast, easy, and collaborative Apache Spark-based big data analytics platform for data science and data engineering in the cloud.
In Optimizing Databricks Workloads, you will get started with a brief introduction to Azure Databricks and quickly begin to understand the important optimization techniques. The book covers how to select the optimal Spark cluster configuration for running big data processing and workloads in Databricks, some very useful optimization techniques for Spark DataFrames, best practices for optimizing Delta Lake, and techniques to optimize Spark jobs through Spark core. It contains an opportunity to learn about some of the real-world scenarios where optimizing workloads in Databricks has helped organizations increase performance and save costs across various domains.
By the end of this book, you will be prepared with the necessary toolkit to speed up your Spark jobs and process your data more efficiently.

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Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 230
• Erscheinungstermin: 24. Dezember 2021
• Englisch
• ISBN-13: 9781801811927
• Artikelnr.: 70288806

Autorenporträt

Anirudh Kala is an expert in machine learning techniques, artificial intelligence, and natural language processing. He has helped multiple organizations to run their large-scale data warehouses with quantitative research, natural language generation, data science exploration, and big data implementation. He has worked in every aspect of data analytics using the Azure data platform. Currently, he works as the director of Celebal Technologies, a data science boutique firm dedicated to large-scale analytics. Anirudh holds a computer engineering degree from the University of Rajasthan and his work history features the likes of IBM and ZS Associates.