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)
1
Part 1:Unleashing Data Wrangling with AWS
3
Part 2:Data Wrangling with AWS Tools
7
Part 3:AWS Data Management and Analysis
12
Part 4:Advanced Data Manipulation and ML Data Optimization
15
Part 5:Ensuring Data Lake Security and Monitoring

Data protection with AWS Glue DataBrew

Organizations face challenges beyond data quality, including identifying and securing personal information. News of data breaches is common, such as the LinkedIn data breach in 2021 where data associated with 700 million users was posted for sale on the Dark Web, impacting 92% of LinkedIn’s user base. Similarly, Yahoo! reported in 2017 that 32 million accounts were accessed through a cookie-based attack. Regulatory and compliance requirements, such as FedRAMP, FINMA, HIPAA, and PCI, also necessitate secure data processing and storage. AWS Glue DataBrew offers features to help you secure and comply with these requirements.

Encryption at rest

Encryption at rest is a security measure that involves encrypting data when it is stored in a local storage device, such as a hard disk, to prevent unauthorized access to confidential information in case the device is accessed by attackers. AWS Glue DataBrew offers support for data encryption at...