Which AWS service allows you to transform and prepare your data for analytics?

AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for users to prepare and transform their data for analytics. It automates the tasks of discovering, categorizing, and cleaning data, which is critical for ensuring that the data is in the right format and structure for analysis. With AWS Glue, you can create and run ETL jobs that can process data from various sources, helping to convert raw data into an easily analyzable format.

One of the key features of AWS Glue is the data catalog, which maintains metadata about your data and enables easy searching and retrieval of datasets. This service can handle a variety of data formats and source systems, making it ideal for preparing data in a format compatible with analytics tools. The integration with other AWS services, such as Amazon Athena and Amazon Redshift, enhances its capability to seamlessly move and transform data before it's analyzed.

Amazon Redshift is primarily a data warehouse service designed for storing and querying large amounts of structured data, rather than for transforming raw data. Amazon EMR provides a platform for processing big data using frameworks like Apache Spark, but requires more hands-on management for data transformation tasks. Amazon S3 is a storage service, where data can be stored but