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Optimizing Databricks Workloads

You're reading from Optimizing Databricks Workloads

Product type Book

Published in Dec 2021

Publisher Packt

ISBN-13 9781801819077

Pages 230 pages

Edition 1st Edition

Languages

Concepts

Data Processing

Authors (3):

Anirudh Kala

Anshul Bhatnagar

Sarthak Sarbahi

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Table of Contents (13) Chapters

Preface

1. Section 1: Introduction to Azure Databricks

2. Chapter 1: Discovering Databricks

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 manufacturing industry

Data and statistical analysis help manufacturing organizations make accurate decisions and streamline processes. This makes manufacturing processes become more efficient and prevents unwanted losses for the organizations.

Case study 1 – leading automobile manufacturing company

An organization was looking for a cloud-scale analytics platform to support growing online analytical processing (OLAP) requirements, a modernized visualization capability to support business intelligence needs, and advanced analytical and artificial intelligence (AI) solutions for existing data.

The proposed solution architecture was as follows:

Data from the Oracle database and flat files was extracted using Azure Data Factory and loaded into Azure Data Lake.
Azure Databricks was used to transform the historical data. Then, the data would be loaded into the Azure Synapse Data Warehouse.
A lead scoring system was built using...

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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.

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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.

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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.

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