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

Insights and data quality

Generating insight reports on data and quality is part of data profiling. Data profiling is a broader term that includes all the processes involved in reviewing the data source, understanding the structure and composition of data, generating useful summaries and statistics from the data, and studying any inherent relationships that exist between various features in the dataset. Before you even begin to take steps to process your data, you must first understand the state of your data. As such, data profiling is most often one of the first steps done after the data is imported into Data Wrangler. Data Wrangler provides a built-in feature to generate an insight report on data and quality. This report works either on the entire dataset that you import into Data Wrangler or on the sample if you sampled the data after importing data into Data Wrangler. The report gives you a quick insight into common data issues such as imbalances in the data, target leakage, and...