Data Warehousing
topic on 4 shows · 6 statements across 6 episodes
No Priors 
the MAD Podcast 
the a16z Podcast 
Big Technology
6 statements about Data Warehousing, every show
Anugas: Modern data engineering and warehousing are overly complex and slow
“And now we have meaningful data engineering and data warehousing, but it's super complex and it takes too long.”
Generative AI fragmentation mirrors the data warehousing market ten years ago
“There is some parallel between the current situation of generative AI and the situation of data warehousing back 10 years ago, as in a multiplicity of technologies and multiplicity of models, question marks in terms of how you integrate them together.”
Slootman: Data warehousing is no longer a market, just a workload
“I have an allergic reaction every time I hear data warehousing, because To me, it's just a type of workload now. It's no longer a market.”
Dhillon: Data warehousing was originally an organizing principle, not a product
“Inman and Kimball came up with an organizing principle, you know, data warehousing was never a product. You couldn't go and buy one. It didn't exist, but it was an organizing principle to, and to corral Marshall and get benefits from the data that you had in y…”
Moghe: Spark and Hadoop do not replace existing data warehouses
“Spark doesn't subsume data warehousing. Hadoop doesn't subsume, you know, streaming. So they're just like different technologies for different jobs.”