Understanding the eight essential steps of a data ingestion pipeline
It goes without saying that every data ingestion pipeline is a unique snowflake that is special to your organization and requirements. Nevertheless, every pipeline shares a few common characteristics that are essential to setting up a long-term process of moving data from source to destination. We have shown in Chapter 1 how essential the process of ELT is to analytics engineering. The data ingestion pipeline is where that process takes place so that afterward, it can be used in the data platform.
When talking about ETL, it is easy to say that data ingestion is just those three steps. But behind the acronym is a way more complex process. Yes, sometimes that process can be as simple as a few clicks in a nice interface, but other times, especially when the origin of the data is unique to your organization, you will have to create a custom pipeline or integration, and the additional complexity that comes with it....
