Data Ingestion

A data platform is useless without any actual data in it. To access your data, combine it with other sources, enrich it, or share it across an organization, you will first need to get that data into your data platform. This is the process we call data ingestion. Data ingestion comes in all sorts and forms. Everyone is familiar with the age-old process of emailing Excel sheets back and forth, but luckily, there are more advanced and consistent ways of adding data to your platform.

Whether clicking your way through a managed ingestion tool such as Fivetran, Stitch, or Airbyte, or writing scripts to handle the parallel processing of multiple real-time data streams in a distributed system such as Spark, learning the steps of a data ingestion pipeline will help you build robust solutions. Building such a solution will help you guarantee the quality of your data, keep your stakeholders happy, and allow you to spend less time debugging and fixing broken code and more time...