Hi and welcome to the A16Z podcast. I'm Doss. Data, data, it's long been a buzzword in the industry,

whether big data, streaming data, data analytics, data science, even AI and machine learning. But data alone is not enough. It takes

an entire system of tools and technology to extract value from data. A multi-billion dollar industry has emerged around these data tools and

technologies, and with so much excitement and innovation in the space, it raises the question,

how exactly do all these tools fit together?

This podcast, featuring Ali Goetzee, the CEO and founder of Databrics,

explores the evolution of data architectures, including some quick history,

where they're going, and a surprising use case for streaming data,

as well as Ollie's take on how He'd architect the picks and shovels that handle data end-to-end

today.

Joining Ollie in this hallway style jam is A16Z General Partner Martine Kasato, who with other

A16Z Enterprise Partners just published a series of blueprints for the modern data stack.

You can find that as well as other pieces on building AI businesses,

the empty promise of data motes, and more at A16Z.com

backslash ML economics. In this conversation, we start with Ali answering the question how did we arrive at the set of data tools we have today

It's kind of started in the 80s.

Business leaders were kind of flying blind,

not knowing how the business were doing,

waiting for finance to close the books.

And this data warehousing paradigm came about

where they said, look, we have all this data warehousing paradigm came about, where they said,

look, we have all this data in these operational data systems.

...