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You're reading from  Optimizing Databricks Workloads

Product typeBook
Published inDec 2021
PublisherPackt
ISBN-139781801819077
Edition1st Edition
Concepts
Data Processing
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Authors (3):
Anirudh Kala
Anirudh Kala
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Anirudh Kala

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.
Read more about Anirudh Kala

Anshul Bhatnagar
Anshul Bhatnagar
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Anshul Bhatnagar

Anshul Bhatnagar is an experienced, hands-on data architect involved in the architecture, design, and implementation of data platform architectures, and distributed systems. He has worked in the IT industry since 2015 in a range of roles such as Hadoop/Spark developer, data engineer, and data architect. He has also worked in many other sectors including energy, media, telecoms, and e-commerce. He is currently working for a data and AI boutique company, Celebal Technologies, in India. He is always keen to hear about new ideas and technologies in the areas of big data and AI, so look him up on LinkedIn to ask questions or just to say hi.
Read more about Anshul Bhatnagar

Sarthak Sarbahi
Sarthak Sarbahi
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Sarthak Sarbahi

Sarthak Sarbahi is a certified data engineer and analyst with a wide technical breadth and a deep understanding of Databricks. His background has led him to a variety of cloud data services with an eye toward data warehousing, big data analytics, robust data engineering, data science, and business intelligence. Sarthak graduated with a degree in mechanical engineering.
Read more about Sarthak Sarbahi

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Summary

In this chapter, we learned about designing Spark clusters for different types of workloads. We also learned about Databricks Pools, spot instances, and the Spark UI. These features help reduce costs and help make Spark jobs more efficient when they're used for the right kind of workload. Now, you will be more confident in deciding on the correct cluster configuration for a certain type of workload. Moreover, the decision you make will be influenced by useful features such as spot instances, pools, and the Spark UI.

In the next chapter, we will dive into the Databricks optimization techniques concerning Spark DataFrames. We will learn about the various techniques and their applications in various scenarios.

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Optimizing Databricks Workloads
Published in: Dec 2021Publisher: PacktISBN-13: 9781801819077
© 2021 Packt Publishing Limited All Rights Reserved

Authors (3)

author image
Anirudh Kala

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.
Read more about Anirudh Kala

author image
Anshul Bhatnagar

Anshul Bhatnagar is an experienced, hands-on data architect involved in the architecture, design, and implementation of data platform architectures, and distributed systems. He has worked in the IT industry since 2015 in a range of roles such as Hadoop/Spark developer, data engineer, and data architect. He has also worked in many other sectors including energy, media, telecoms, and e-commerce. He is currently working for a data and AI boutique company, Celebal Technologies, in India. He is always keen to hear about new ideas and technologies in the areas of big data and AI, so look him up on LinkedIn to ask questions or just to say hi.
Read more about Anshul Bhatnagar

author image
Sarthak Sarbahi

Sarthak Sarbahi is a certified data engineer and analyst with a wide technical breadth and a deep understanding of Databricks. His background has led him to a variety of cloud data services with an eye toward data warehousing, big data analytics, robust data engineering, data science, and business intelligence. Sarthak graduated with a degree in mechanical engineering.
Read more about Sarthak Sarbahi

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