Summary
A data analytics workload involves a data flow, which starts with the data ingestion and processing technique, through to storing and modeling, until it is prepared to be consumed by visualization tools.
The most important knowledge of this chapter sits on the concepts behind this analytical process because when we get to future chapters (which are more hands-on), you will have the proper knowledge to implement the data analytics concept using Azure Synapse Analytics and Power BI.
This knowledge is a foundation for the preparation for the DP-900 test because part of the questions is based on concepts and not only on specific configurations.
In the next chapter, we begin Part 2 of our book, which will be more technical and provide more details about Azure tools for relational databases.
