The Open Data Stack Distilled into Four Core Tools
You need to be able to draw insight and to structure that information such that people can then act on it. What is doing that? Today, transformation tools like dbt are doing that, if you take the lens of the data team really owning everything end-to-end, but I think also applications that are able to plug into the data warehouse, consume this raw i... See more
Jan-Erik Asplund • Earl Lee, co-founder and CEO of HeadsUp, on the modern data stack value chain
Traditional ETL solutions are still quite powerful when it comes to:
- Common connectors with small-medium data volumes : we still have a lot of respect for companies like Fivetran, who have really nailed the user experience for the most common ETL use cases, like syncing Zendesk tickets or a production Postgres read replica into Snowflake. The only
Why you should move your ETL stack to Modal
- Bob Muglia has the best definition. Others simply miss essential parts. The MDS isn’t just about open source or dbt; it is about SaaS, Cloud, Snowflake, and more. It is the wrapper around the progress in analytics over the last years.
- You should try to go for a 100% SaaS MDS . But try not to build up too many dependencies (yes, that’s possible; yo
Sven Balnojan • Breaking Down the Modern Data Stack: Practical Insights for Leveraging Analytics Progress
Where data teams go deeper, faster | Observable
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