Section 1: Data Pipelines

The hardest part made easy ... getting the data.

Getting to the data – no matter where it lives – is the hardest and most time-consuming task in analytics work. And the second most time-consuming is sculpting the data into a format that will provide insights. In this section, you will learn how data is stored, sculpted, and transformed within the Domo ecosystem. This includes intake paths that are going to get tactically easier. Your ability to sculpt the data will not require you to become a SQL guru. Imagine a wizard-driven solution that acquires data from sources and automatically creates the schema and provisions the data storage. Furthermore, imagine an Extract, Transform, and Load (ETL) tool that is schema-aware and provides a no-code, drag and drop experience that is so intuitive data transformation pipeline creation feels almost like magic.

After completing part one, you will be able to intake (acquire, store and sculpt) data in...