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

AWS SDK for pandas

AWS SDK for pandas (previously known as AWS Data Wrangler) is a Python library that enhances the AWS Software Development Kit (SDK) with additional functionalities and also provides an interface with a pandas DataFrame. This is an open source initiative by the AWS Professional Services team that offers easy integration with an array of AWS services. In addition to the existing functionalities of the AWS SDK, integration with the pandas library provides a rich set of features to perform data wrangling and data integration activities.

AWS SDK for pandas was initially known as the awswrangler package and was created around July 2019 by the AWS Professional Services team. AWS SDK for pandas is an open source initiative published under the Apache 2.0 license. The framework has gone through a rebranding exercise to change its name to AWS SDK for pandas as of August 2022. However, everything with respect to the library remains the same, and the name was changed to better...