AWS services for transforming data
Once your data is ingested into an appropriate AWS service, such as Amazon S3, the next stage of the pipeline needs to transform the data to optimize it for analytics and to make it available to your data consumers.
Some of the tools we discussed in the previous section for ingesting data into AWS can perform light transformations as part of the ingestion process. For example, Amazon DMS can write out data in Parquet format (a format optimized for analytics), as can Kinesis Firehose. However, heavier transformations are often required to fully optimize your data for a differing set of analytic tasks and diverse data consumers, and in this section, we will examine some of the core AWS services that can be used for this.
Overview of AWS Lambda for light transformations
AWS Lambda provides a serverless environment for executing code and is one of AWS's most popular services. You can trigger your Lambda function to execute your code in multiple...
