Expand your technical knowledge and hear from your peers and industry experts about cloud data lake use cases and architectures at Subsurface™, where we explore what’s below the surface of the data lake. Hear firsthand from open source and technology leaders at companies about their experiences spearheading open source projects and building modern data lakes. Explore real-world use cases, from data warehousing and BI to data science and advanced analytics.
Tomasz Tunguz
Tomasz is a managing director at Redpoint. He is an active blogger at tomtunguz.com and is co-author of Winning with Data which explores the cultural changes big data brings to business, and shows you how to adapt your organization to leverage data to maximum effect. Before joining Redpoint, Tomasz was the product manager for Google’s AdSense social-media products and AdSense internationalization.
Tomasz attended Dartmouth College, where he rowed on the crew team (Go Green!) and graduated as a George Revitz Fellow with a BA in mechanical engineering, a BE in machine learning, and a master’s degree in engineering management.
Moonfare replaced a PostgreSQL-based data warehouse on Amazon Web Services (AWS) with a Dremio data lakehouse to offer data engineers, analysts and business users a high performance platform for business intelligence and predictive analytics empowering them to make better data-driven decisions.
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Deutsche Bahn Group (DB) is one of the world's leading mobility and logistics companies. The DB Cargo business unit manages DB's rail freight business.
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Amazon's Supply Chain Finance Analytics team developed a new analytics architecture with Dremio to simplify ETL processes, accelerate queries, and provide analytics on a unified view of the data.
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