Saved by Ted Glasnow
Thomas Schiavone, co-founder and CEO of Calixa, on the PLG data pipeline
makes a lot more sense to get the other 5 to 10 percent into the EDW and analyze all of the data there. In other words, move the analysis to the data instead of moving the data to the analysis. This is the concept of in-database analytics.
Bill Franks • Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series)
This basic stack is so accepted (and frankly so much easier now with AWS etc.) that we rarely question it. But it's ridiculously inefficient. Why should every potential business need to build all 3 parts of this stack when their core innovation or value add comes primarily from one or two?
Danny Zuckerman • Data composability: what it is + why it matters
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
The last core data stack tool is the orchestrator. It’s used quickly as a data orchestrator to model dependencies between tasks in complex heterogeneous cloud environments end-to-end. It is integrated with above-mentioned open data stack tools. They are especially effective if you have some glue code that needs to be run on a certain cadence, trigg... See more