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Data Wrangling on AWS

You're reading from  Data Wrangling on AWS

Product type Book
Published in Jul 2023
Publisher Packt
ISBN-13 9781801810906
Pages 420 pages
Edition 1st Edition
Languages
Concepts
Authors (3):
Navnit Shukla Navnit Shukla
Profile icon Navnit Shukla
LinkedIn
Navnit Shukla is an accomplished Senior Solution Architect with a specialization in AWS analytics. With an impressive career spanning 12 years, he has honed his expertise in databases and analytics, establishing himself as a trusted professional in the field. Currently based in Orange County, CA, Navnit's primary responsibility lies in assisting customers in building scalable, cost-effective, and secure data platforms on the AWS cloud.
See other products by Navnit Shukla
Sankar M Sankar M
Profile icon Sankar M
LinkedIn
Sankar Sundaram has been working in IT Industry since 2007, specializing in databases, data warehouses, analytics space for many years. As a specialized Data Architect, he helps customers build and modernize data architectures and help them build secure, scalable, and performant data lake, database, and data warehouse solutions. Prior to joining AWS, he has worked with multiple customers in implementing complex data architectures.
See other products by Sankar M
Sampat Palani Sampat Palani
Profile icon Sampat Palani
LinkedIn
Sam Palani has over 18+ years as developer, data engineer, data scientist, a startup cofounder and IT leader. He holds a master's in Business Administration with a dual specialization in Information Technology. His professional career spans across 5 countries across financial services, management consulting and the technology industries. He is currently Sr Leader for Machine Learning and AI at Amazon Web Services, where he is responsible for multiple lines of the business, product strategy and thought leadership. Sam is also a practicing data scientist, a writer with multiple publications, speaker at key industry conferences and an active open source contributor. Outside work, he loves hiking, photography, experimenting with food and reading.
See other products by Sampat Palani
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Table of Contents (19) Chapters

Preface Part 1:Unleashing Data Wrangling with AWS
Chapter 1: Getting Started with Data Wrangling Part 2:Data Wrangling with AWS Tools
Chapter 2: Introduction to AWS Glue DataBrew Chapter 3: Introducing AWS SDK for pandas Chapter 4: Introduction to SageMaker Data Wrangler Part 3:AWS Data Management and Analysis
Chapter 5: Working with Amazon S3 Chapter 6: Working with AWS Glue Chapter 7: Working with Athena Chapter 8: Working with QuickSight Part 4:Advanced Data Manipulation and ML Data Optimization
Chapter 9: Building an End-to-End Data-Wrangling Pipeline with AWS SDK for Pandas Chapter 10: Data Processing for Machine Learning with SageMaker Data Wrangler Part 5:Ensuring Data Lake Security and Monitoring
Chapter 11: Data Lake Security and Monitoring Index Other Books You May Enjoy

Data discovery with QuickSight

Amazon QuickSight supports loading data from various data sources, and we can then create visuals in the Analyses tab to understand the data. Data discovery can also be done using Jupyter notebooks with custom visualization libraries, but that might require programming expertise and complex setup before performing data discovery activities. In contrast, business users can perform data discovery in QuickSight with visuals in the Analyses tab.

QuickSight-supported data sources and setup

QuickSight supports a wide variety of data sources. The complete list can be found at https://docs.aws.amazon.com/quicksight/latest/user/supported-data-sources.html.

The sources could be classified into the following broad categories:

  • Relational data sources: Covering cloud and on-premises data sources, including popular data engines such as MySQL, Postgres, SQL Server, Oracle, Snowflake, and Redshift. When connecting to on-premises data sources, you need...
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Authors (3)

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Profile icon Navnit Shukla
LinkedIn
Navnit Shukla is an accomplished Senior Solution Architect with a specialization in AWS analytics. With an impressive career spanning 12 years, he has honed his expertise in databases and analytics, establishing himself as a trusted professional in the field. Currently based in Orange County, CA, Navnit's primary responsibility lies in assisting customers in building scalable, cost-effective, and secure data platforms on the AWS cloud.
See other products by Navnit Shukla
Profile icon Sankar M
LinkedIn
Sankar Sundaram has been working in IT Industry since 2007, specializing in databases, data warehouses, analytics space for many years. As a specialized Data Architect, he helps customers build and modernize data architectures and help them build secure, scalable, and performant data lake, database, and data warehouse solutions. Prior to joining AWS, he has worked with multiple customers in implementing complex data architectures.
See other products by Sankar M
Profile icon Sampat Palani
LinkedIn
Sam Palani has over 18+ years as developer, data engineer, data scientist, a startup cofounder and IT leader. He holds a master's in Business Administration with a dual specialization in Information Technology. His professional career spans across 5 countries across financial services, management consulting and the technology industries. He is currently Sr Leader for Machine Learning and AI at Amazon Web Services, where he is responsible for multiple lines of the business, product strategy and thought leadership. Sam is also a practicing data scientist, a writer with multiple publications, speaker at key industry conferences and an active open source contributor. Outside work, he loves hiking, photography, experimenting with food and reading.
Read more
See other products by Sampat Palani
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