Our 5 favourite open-source customer data platforms
dbt Labs
research.contrary.com
(1) The separation between storage and compute , as encouraged by data lake architectures (e.g. the implementation of P would look different in a traditional database like PostgreSQL, or a cloud warehouse like Snowflake). This architecture is the focus of the current system, and it is prevalent in most mid-to-large enterprises (its benefits that be... See more
Jacopo Tagliabue • Reproducible data science over data lakes: replayable data pipelines with Bauplan and Nessie.
In today’s data world, there are so many options for an EL tool to avoid you developing your own extracting script and to help you gain a LOT of time.
Fivetran, Mage, and Airbyte to mention a few.
You don’t have to maintain custom scripts, these tools come with +300 connectors, basic scheduling, and error handling.
Jeremy • What I Learned After One Year of Building a Data Platform From Scratch
Because of its superior price performance, some companies are even betting on Hadoop as a data warehouse replacement, in some cases also using familiar SQL query languages in order to make big data more consumable for business users.