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

Introducing Amazon QuickSight and its concepts

Amazon QuickSight is a Business Intelligence (BI) service that helps you to generate interactive dashboards with visuals/charts from a wide variety of data sources, such as the cloud, on-premises, and third-party services. In addition, Amazon QuickSight provides advanced features such as embedded analytics and an AI-enabled search bar.

Why do we need a data visualization tool?

As mentioned previously, a picture is worth a thousand words. Users can understand patterns in data using visuals and charts more easily than tabular data. Also, when data insights are identified, they can be shared with business and executive teams through dashboards to convey the message more effectively.

How does QuickSight work?

QuickSight loads data from supported data sources and users can prepare data within QuickSight to suit their visualization requirements. The data is retrieved locally from the Super-fast, Parallel, In-memory Calculation Engine...