In this episode, we analyze changes and trends that resulted in the creation of so-called Modern Data Platforms. This includes e.g. adoption of best practices from the software development domain (e.g. dbt), the shift from ETL (Extract-Transform-Load) to ELT (Extract-Load-Transform) paradigm, serverless databases (e.g. Snowflake, BigQuery, Athena), public cloud, and support for SQL everywhere.

This podcast episode was recorded by Jakub Pieprzyk (GetInData).

Follow-up links:

• Modern Data Platform - the what's, why's and how's? Demystifying the buzzword
• Up & Running: data pipeline with BigQuery and dbt
• An example of a template to create a pipeline project with open-source GetInData Framework based on DBT (Github)

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