You're reading from Optimizing Databricks Workloads

Product typeBook

Published inDec 2021

PublisherPackt

ISBN-139781801819077

Edition1st Edition

Concepts

Data Processing

Authors (3):

Anirudh Kala

Anshul Bhatnagar

Sarthak Sarbahi

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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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Optimizing Databricks Workloads

Published in: Dec 2021Publisher: PacktISBN-13: 9781801819077

Authors (3)

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 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 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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You're reading from Optimizing Databricks Workloads

Learning case studies from the media and entertainment industry

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

Unlock this book and the full library FREE for 7 days

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