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The a16z Show

The Great Data Debate

The a16z Show

a16z

Culture, Business, Science, Disruption, Technology, Software Eating The World, Entrepreneurship, Innovation

4.21.2K Ratings

🗓️ 24 March 2022

⏱️ 28 minutes

🧾️ Download transcript

Summary

Lakes v. warehouses, analytics v. AI/ML, SQL v. everything else... As the technical capabilities of data lakes and data warehouses converge, are the separate tools and teams that run AI/ML and analytics converging as well?

Transcript

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0:00.0

Over a decade after the idea of big data was first born,

0:03.4

data has become the central nervous system

0:05.7

for decision-making in organizations of all sizes.

0:08.4

But the modern data stack is evolving.

0:10.8

And which infrastructure trends and technologies will ultimately

0:13.8

went out remains to be decided. This episode from November 2020 brings

0:18.6

together some of the industry's leading experts from Snowflake to 5 Tran,

0:22.8

DBT, A16C and beyond,

0:25.0

to debate the future of the modern data stack.

0:28.0

From Data Lakes versus Data Warehouses

0:30.4

to Analytics versus Artificial Intelligence and machine learning, to sequel

0:34.5

versus everything else, and more. For more on how the data space is

0:38.4

evolving and who the key up-and-coming players are, check out the inaugural

0:42.2

data 50 list on future.com

0:44.6

forward slash data 50.

0:46.7

We highlight and analyze the world's bellwether private companies

0:49.7

across the most exciting categories in data, which in aggregate are valued today at more than

0:54.5

$100 billion and have raised approximately $14 billion in total capital.

1:00.0

And now, on to today's episode.

1:02.0

Hi and welcome to the Great Data Debate.

1:06.0

I'm Doss, and this is the A16Z Podcast.

1:09.0

Today's episode is all about the debates happening around the modern data stack,

...

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