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Optimizing Databricks Workloads

You're reading from   Optimizing Databricks Workloads Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads

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Product type Paperback
Published in Dec 2021
Publisher Packt
ISBN-13 9781801819077
Length 230 pages
Edition 1st Edition
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Authors (3):
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Anshul Bhatnagar Anshul Bhatnagar
Author Profile Icon Anshul Bhatnagar
Anshul Bhatnagar
Sarthak Sarbahi Sarthak Sarbahi
Author Profile Icon Sarthak Sarbahi
Sarthak Sarbahi
Anirudh Kala Anirudh Kala
Author Profile Icon Anirudh Kala
Anirudh Kala
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Toc

Table of Contents (13) Chapters Close

Preface 1. Section 1: Introduction to Azure Databricks
2. Chapter 1: Discovering Databricks FREE CHAPTER 3. Chapter 2: Batch and Real-Time Processing in Databricks 4. Chapter 3: Learning about Machine Learning and Graph Processing in Databricks 5. Section 2: Optimization Techniques
6. Chapter 4: Managing Spark Clusters 7. Chapter 5: Big Data Analytics 8. Chapter 6: Databricks Delta Lake 9. Chapter 7: Spark Core 10. Section 3: Real-World Scenarios
11. Chapter 8: Case Studies 12. Other Books You May Enjoy

Learning case studies from the media and entertainment industry

Data plays a crucial role for media and entertainment organizations as it helps them understand viewer behavior and identify the true market value of the content being shared. This helps in improving the quality of content being delivered and at the same time opens up new monetization avenues for the production houses.

Case study 5 – HD Insights to Databricks migration for a media giant

In this case study, the prime requirement of the organization was processing and number crunching datasets that were 2-3 TB in size every day. This was required to perform analytics on on-demand advertising video service's user data to generate reports and dashboards for the marketing team. Also, the organization was not able to automate the extract, transform, and load (ETL) process of their web and mobile platform viewer's data. This ETL process was being executed using Azure HD Insights. Moreover, managing HD...

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