AWS services for orchestrating big data pipelines
As discussed in Chapter 2, Data Management Architectures for Analytics, a data pipeline can be built to bring in data from source systems, and then transform that data, often moving the data through multiple stages, further transforming or enriching the data as it moves through each stage.An organization will often have tens or hundreds of pipelines that work independently or in conjunction with each other on different datasets and perform different types of transformations. Each pipeline may use multiple services to achieve the goals of the pipeline, and orchestrating all the varying services and pipelines can be complex. In this section, we look at a number of AWS services that help with this orchestration task.
Overview of AWS Glue workflows for orchestrating Glue components
In the AWS services for transforming data section, we covered AWS Glue, a service that includes a number of components. As a reminder, they are as follows:
- A...
