Over a decade after the idea of big data was first born, data has become the central nervous system for decision-making and organizations of all sizes.

But the modern data stack is evolving.

And which infrastructure trends and technologies will ultimately win out remains to be decided.

This episode from November 2020 brings together some of the industry's leading experts, from Snowflake

to 5T, DBT, A16C, and beyond to debate the future of the modern data stack, from

data lakes versus data warehouses, to analytics versus artificial intelligence and machine learning,

to SQL versus everything else, and more. For more on how the data space is evolving and who the key up-and-coming players are,

check out the inaugural Data 50 list on future.com forward slash data 50.

We highlight and analyze the world's bellwether private companies

across the most exciting categories in data,

which in aggregate are valued today at more than $100 billion

and have raised approximately $14 billion in total capital. And now, on to today's episode.

Hi, and welcome to the great data debate. I'm Doss, and this is the A16Z podcast. Today's

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

lakes versus warehouses, analytics versus artificial intelligence and machine learning,

SQL versus everything else, and more.

For other content from our series on modern data businesses,

including example blueprints we've shared and a podcast with Databricks

that traces the history and evolution

of modern data architectures,

please see a16Z.com backslash modern data.

The conversation in this podcast

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