Bob Muglia is the former CEO of Snowflake, author of THE DATAPRENEURS: The Promise of AI and the Creators Building Our Future, and ex-head of Server and Tools at Microsoft. He joins Big Technology Podcast to discuss the latest in artificial intelligence, including Marc Andreessen's essay — Why AI Will Save The World — and the lessons in his book. We also go deep into the emergence of Azure at Microsoft, which he was present for, and how Satya Nadella was able to push it forward despite the cultural challenges.Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice.For weekly updates on the show, sign up for the pod newsletter on LinkedIn: https://www.linkedin.com/newsletters/6901970121829801984/Questions? Feedback? Write to: bigtechnologypodcast@gmail.com

Bob Muglia likely needs no introduction. The former CEO of Snowflake led the company during its early, transformational years after a long career at Microsoft and Juniper.  Bob recently released the book The Datapreneurs about the arc of innovation in the data industry, starting with the first relational databases all the way to the present craze of LLMs and beyond. In this conversation with Tristan and Julia, Bob shares insights into the future of data engineering and its potential business impact while offering a glimpse into his professional journey.  For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.  The Analytics Engineering Podcast is sponsored by dbt Labs.

Prominent technology executive Bob Muglia joins the podcast to discuss the AI boom, his experience working with Bill Gates, and his role in leading Snowflake from $0 to $200 million in revenue. They explore topics such as the competitive landscape of the data warehouse industry, the impact of AI on various industries, and the future of technology and online search. They also delve into the role of Isaac Asimov's governance in technological innovation and the potential for achieving Artificial General Intelligence.

Summary Data has been one of the most substantial drivers of business and economic value for the past few decades. Bob Muglia has had a front-row seat to many of the major shifts driven by technology over his career. In his recent book "Datapreneurs" he reflects on the people and businesses that he has known and worked with and how they relied on data to deliver valuable services and drive meaningful change. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. You specify the customer traits, then Profiles runs the joins and computations for you to create complete customer profiles. Get all of the details and try the new product today at dataengineeringpodcast.com/rudderstack Your host is Tobias Macey and today I'm interviewing Bob Muglia about his recent book about the idea of "Datapreneurs" and the role of data in the modern economy Interview Introduction How did you get involved in the area of data management? Can you describe what your concept of a "Datapreneur" is? How is this distinct from the common idea of an entreprenur? What do you see as the key inflection points in data technologies and their impacts on business capabilities over the past ~30 years? In your role as the CEO of Snowflake you had a first-row seat for the rise of the "modern data stack". What do you see as the main positive and negative impacts of that paradigm? What are the key issues that are yet to be solved in that ecosmnjjystem? For technologists who are thinking about launching new ventures, what are the key pieces of advice that you would like to share? What do you see as the short/medium/long-term impact of AI on the technical, business, and societal arenas? What are the most interesting, innovative, or unexpected ways that you have seen business leaders use data to drive their vision? What are the most interesting, unexpected, or challenging lessons that you have learned while working on the Datapreneurs book? What are your key predictions for the future impact of data on the technical/economic/business landscapes? Contact Info LinkedIn Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast helps you go from idea to production with machine learning. Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com) with your story. To help other people find the show please leave a review on Apple Podcasts and tell your friends and co-workers Links Datapreneurs Book SQL Server Snowflake Z80 Processor Navigational Database System R Redshift Microsoft Fabric Databricks Looker Fivetran Podcast Episode Databricks Unity Catalog RelationalAI 6th Normal Form Pinecone Vector DB Podcast Episode Perplexity AI The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SASponsored By:Rudderstack:  Introducing RudderStack Profiles. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. You specify the customer traits, then Profiles runs the joins and computations for you to create complete customer profiles. Get all of the details and try the new product today at [dataengineeringpodcast.com/rudderstack](https://www.dataengineeringpodcast.com/rudderstack)Support Data Engineering Podcast

Bob Muglia, former CEO of Snowflake and Microsoft veteran, talks about moving beyond SQL, the power of knowledge graphs, the evolution of databases, and the future of AI. He explores the challenges of pre-SQL databases, Snowflake's approach to data management, Microsoft's mistakes with tablets, the need for surpassing SQL query languages, the rise of digital modeling, and the importance of imbuing AI with human values.

This week: the origins of data, and the future of the digital species. Our guest is business and tech leader Bob Muglia, a startup investor and advisor who played key roles in the emergence of Microsoft's database, server, and business software products, and served as the CEO of data warehouse company Snowflake Computing. He's the author, with Steve Hamm, of a new book called  "The Datapreneurs: The Promise of AI and the Creators Building Our Future," published by Peakpoint Press. Muglia connects the dots between early data innovation and the emerging era of artificial intelligence; talks about lessons from one of his favorite authors, Isaac Asimov; compares Microsoft and IBM to Microsoft and OpenAI; explains why he's ultimately an optimist about technology and humanity; and tells the story of the data center he built in his house when he was a Microsoft executive.  "We've gone from the verbal way of recording information ... to various forms of writing, to the printing press, to ultimately digital computers and the internet. And now data of every type is recording society in a way that essentially has a permanence attached to it. And these intelligent entities that we can create in the future will learn from all of this. ... It's a little scary, for sure, but it's pretty exciting." With GeekWire co-founder Todd Bishop; edited and produced by Curt Milton.See omnystudio.com/listener for privacy information.

Former Snowflake CEO and Microsoft President, Bob Muglia, discusses exciting trends in AI, the role of data quality, ethics in AI development, and the future impact of relational knowledge graphs and robotics.

Over a decade after the idea of “big data'' was first born, data has become the central nervous system for decision-making in 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.In this podcast, originally recorded as part of Fivetran's Modern Data Stack conference, five leaders in data infrastructure debate that question: a16z general partner and pioneer of software defined networking Martin Casado, former CEO of Snowflake Bob Muglia; Michelle Ufford, founder and CEO of Noteable; Tristan Handy, founder of Fishtown Analytics and leader of the open source project dbt; and Fivetran founder George Fraser.The conversation covers the future of data lakes, the new use cases for the modern data stack, data mesh and whether decentralization of teams and tools is the future, and how low we actually need to go with latency. And while the topic of debate is the modern data stack, the themes and differing perspectives strike at the heart of an even bigger: how does technology evolve in complex enterprise environments? We're re-running this episode as part of a special report on Future.com, the Data50: the World's Top Data Startups, which covers the bellwether private companies across the most exciting categories in data, from AI/ML to observability and more. 

Former CEO of Snowflake, Bob Muglia, shares his experiences at Microsoft, including being fired by Steve Ballmer twice. He discusses his playbook for taking Snowflake from 0 revenue to $100M. Topics include values vs. performance, scaling a company, and the impact of AI and human values.

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?In this podcast, originally recorded as part of Fivetran's Modern Data Stack conference, five leaders in data infrastructure debate that question: a16z general partner and pioneer of software defined networking Martin Casado, former CEO of Snowflake Bob Muglia; Michelle Ufford, founder and CEO of Noteable; Tristan Handy, founder of Fishtown Analytics and leader of the open source project dbt; and Fivetran founder George Fraser.The conversation covers the future of data lakes, the new use cases for the modern data stack, data mesh and whether decentralization of teams and tools is the future, and how low we actually need to go with latency. And while the topic of debate is the modern data stack, the themes and differing perspectives strike at the heart of an even bigger: how does technology evolve in complex enterprise environments?