The 12 Data Layers Explained with Tarush Aggarwal
HIGHLIGHTS
- 12 data layers explained and 5x's service to stitch them together
- Case studies of companies improving their data efficiencies
- AI in future sales: Use AI to come up with recommendations
- AI and jobs: Data scientists will be in high demand
QUOTES
Tarush: "The first 5 layers of the stack are kind of pretty well-understood and, at that point, that's kind of verticalized but more sort of horizontal. But in terms of the other capabilities which the modern data stack can start to provide, we sort of get into data lineage and data catalog."
Tarush: "We take the modern data stack and stitch together and provide it as a service. So as a business, you're kind of good to go on day 1, you don't need to worry about signing enterprise contracts or figuring out how it all plays together."
Tarush: "A lot of the core problems before AI need to be commoditized, what are some of those problems, right? A big part of that problem is the infrastructure of the data platform required to get to a point where you have stable, clean, highly-modeled data which is, again, the sort of 5 layers."
Learn more about Tarush and connect with him in the links below:
- LinkedIn: https://www.linkedin.com/in/tarushaggarwal/
- Website: https://5x.co/
- Email: hello@5x.co