Machine Learning Times
Machine Learning Times
Video – Career Paths in Analytics and Data Science and Analytics Team Building
 Event: Machine Learning Week 2021 Keynote: Career Paths in Analytics and...
What Percentage of Your Machine Learning Models Have Been Deployed?
  Do your models usually get deployed? Or are...
Video – Credit Models, Microfinance, and Improving the Lives of Families in the Developing World
 Event: Machine Learning Week 2021 Keynote: Credit Models, Microfinance, and...
Video – Identifying Program Effectiveness for Survivors of Human Trafficking from Muneeb Alam of QuantumBlack
 Event: Machine Learning Week 2021 Keynote: Identifying Program Effectiveness for Survivors...

3 weeks ago
What’s In Store for the Future of the Modern Data Stack?

Originally published in Monte Carlo Data, Dec 16, 2021.

Bob Muglia, former CEO of Snowflake, discusses what’s next for the tooling and technologies powering data analytics and engineering.

A few weeks ago, I had the opportunity to chat with Bob Muglia, former CEO of Snowflake and one of the pioneers of the modern data stack, to learn about his predictions for the future of our industry.

If Maxime Beauchemin is the father of data engineering, Muglia is certainly the father of the analytical cloud database, bringing to market one of the most popular solutions in the space: Snowflake, which launched in 2014 and popularized one of the most transformative technologies of the decade.

Before we begin, however, it’s important to understand what exactly we mean by modern data stack:

  • It’s cloud-based
  • It’s modular and customizable
  • It’s best-of-breed first (choosing the best tool for a specific job, versus an all-in-one solution)
  • It’s metadata-driven
  • It runs on SQL (at least for now)

With these basic concepts in mind, let’s dive into Bob’s predictions for the future of the modern data stack. (For an even more wide-ranging conversation, be sure to check out my interview, below).

To continue reading this article, click here.

Leave a Reply