Software Engineering Daily

Large companies have multiple databases, multiple data formats, and multiple applications that need to use the data. Every data engineer needs to move data between these different components of a system. Moving data between different parts of a system is often called “ETL”, an acronym for “Extract, Transform, Load.”

Data engineers spend much of their time writing code for ETL. This ETL code often moves data from a source such as a distributed file system into a data warehouse such as Amazon Redshift. ETL code also is used to take data out of platforms such as Google Analytics, and put that data into a system where it can be joined with internal data sets.

George Fraser is the CEO of Fivetran, a company that builds data connectors to improve the data engineering process. George joins the show to discuss modern data warehousing, and the business of building Fivetran. Data connectors may sound like a simple or trivial product, but it turns out to be a gigantic opportunity.

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