Book Image

Data Wrangling on AWS

By : Navnit Shukla, Sankar M, Sampat Palani
5 (1)
Book Image

Data Wrangling on AWS

5 (1)
By: Navnit Shukla, Sankar M, Sampat Palani

Overview of this book

Data wrangling is the process of cleaning, transforming, and organizing raw, messy, or unstructured data into a structured format. It involves processes such as data cleaning, data integration, data transformation, and data enrichment to ensure that the data is accurate, consistent, and suitable for analysis. Data Wrangling on AWS equips you with the knowledge to reap the full potential of AWS data wrangling tools. First, you’ll be introduced to data wrangling on AWS and will be familiarized with data wrangling services available in AWS. You’ll understand how to work with AWS Glue DataBrew, AWS data wrangler, and AWS Sagemaker. Next, you’ll discover other AWS services like Amazon S3, Redshift, Athena, and Quicksight. Additionally, you’ll explore advanced topics such as performing Pandas data operation with AWS data wrangler, optimizing ML data with AWS SageMaker, building the data warehouse with Glue DataBrew, along with security and monitoring aspects. By the end of this book, you’ll be well-equipped to perform data wrangling using AWS services.
Table of Contents (19 chapters)
Part 1:Unleashing Data Wrangling with AWS
Part 2:Data Wrangling with AWS Tools
Part 3:AWS Data Management and Analysis
Part 4:Advanced Data Manipulation and ML Data Optimization
Part 5:Ensuring Data Lake Security and Monitoring

Part 2:Data Wrangling with AWS Tools

In this section, we will explore three powerful AWS tools designed to streamline data-wrangling and preparation tasks. First, we’ll delve into AWS Glue DataBrew, learning how to cleanse, transform, and enrich data to ensure high-quality and usable datasets. After that, we’ll uncover the versatility of the AWS SDK for pandas, gaining a comprehensive understanding of efficient data manipulation and preparation on the AWS platform. Finally, we’ll explore Amazon SageMaker Data Wrangler, equipping you with the skills to seamlessly preprocess and prepare data for impactful machine learning projects.

This part has the following chapters:

  • Chapter 2, Introduction to AWS Glue DataBrew
  • Chapter 3, Introducing AWS SDK for pandas
  • Chapter 4, Introduction to SageMaker Data Wrangler