July 2023
Intermediate to advanced
420 pages
10h 35m
English
Overview
Data Wrangling on AWS serves as your comprehensive guide to mastering the art of data cleaning, transformation, and organization within the AWS ecosystem. In this book, you'll explore essential AWS tools, such as AWS Glue, Data Wrangler, SageMaker, and more, to manage complex data workflows effectively. By the end, you'll be equipped to handle advanced ETL tasks efficiently using AWS services.
What this Book will help me do
- Write and implement advanced data transformations using AWS Data Wrangler.
- Leverage AWS Glue DataBrew for efficient data wrangling workflows.
- Develop and optimize ETL pipelines integrating AWS data services such as Redshift and S3.
- Apply AWS security models, including IAM, to secure your data operations.
- Master integration and optimization techniques using AWS SageMaker for ML data.
Author(s)
None Shukla, Sankar M, and Sam Palani together bring years of expertise in data engineering and cloud computing. They have extensive experience working with AWS data services and parsing complex data architectures. Their collaboration ensures this book is practical and insightful, tailored for professionals seeking actionable strategies in data wrangling.
Who is it for?
This book is designed for data engineers, data scientists, and analysts aiming to efficiently process and organize data using AWS. Ideal readers likely have a basic background in Python and familiarity with AWS technologies such as SageMaker and Glue. If you're looking to elevate your data manipulation skills within large-scale cloud ecosystems, this book is for you.
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