A modern approach to data transformation

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This is a podcast episode titled, A modern approach to data transformation. The summary for this episode is: <p>Data warehouses have been around for decades, and we’ve relied on data integration processes like ETL (Extract-Transform-Load) to get the data in. While data warehouses evolved to data lakes and data lakehouses, and ETL became ELT, little else has changed.</p> <p>This week’s special guest is <a href="https://www.linkedin.com/in/drewbanin/">Drew Banin</a>, co-founder of Fishtown Analytics. They’re the team behind the open source tool Data Build Tool (better known as dbt), and for disrupting the data transformation process (the T in ETL).</p> <p>Discussion topics include how to build a modern tech stack for your data-driven business, what actually started the dbt revolution, and (of course, obviously) if you could transform into any animal on the planet, what would it be and why?<br> </p>

DESCRIPTION

Data warehouses have been around for decades, and we’ve relied on data integration processes like ETL (Extract-Transform-Load) to get the data in. While data warehouses evolved to data lakes and data lakehouses, and ETL became ELT, little else has changed.

This week’s special guest is Drew Banin, co-founder of Fishtown Analytics. They’re the team behind the open source tool Data Build Tool (better known as dbt), and for disrupting the data transformation process (the T in ETL).

Discussion topics include how to build a modern tech stack for your data-driven business, what actually started the dbt revolution, and (of course, obviously) if you could transform into any animal on the planet, what would it be and why?