Getting Started with Data Wrangling
In the introductory section of this book, we listed use cases regarding how organizations use data to bring value to customers. Apart from that, organizations collect a lot of other data so that they can understand the finances of customers, which helps them share it with stakeholders, including log data for security, system health checks, and customer data, which is required for working on use cases such as Customer 360s.
We talked about all these use cases and how collecting data from different data sources is required to solve them. However, from collecting data to solving these business use cases, one very important step is to clean the data. That is where data wrangling comes into the picture.
In this chapter, we are going to learn the basics of data wrangling and cover the following topics:
- Introducing data wrangling
- The steps involved in data wrangling
- Best practices for data wrangling
- Options available within Amazon Web Services (AWS) to perform data wrangling