For data scientists and engineers, there’s no finer place to spend time than a data lake. But are you really getting what you want out of it when +80% of your time is spent sidelined with data preparation?Every data scientist and engineer who wants to stay relevant over the next decade needs to start asking themselves the tough questions today: Do you want to be someone who drives real business outcomes or just keeps the lights on? How much time do you actually spend innovating with data? How much simply goes into keeping your pristine lake stocked with fresh data instead?In this presentation, Matthew Halliday will show the audience how no-code ETL gives data teams the freedom to move fast and innovate with data. He will bring it to life by highlighting use cases from one of the world’s largest quick-service restaurants, a Fortune-10 consumer electronics manufacturer, and a major US federal credit union. Specifically, he will demonstrate how to connect any business application – from Google Sheets to Salesforce and SAP – to a data lake in 10 minutes or less, generating transactional, in-sync Parquet files that anyone can seamlessly leverage for data science.An award-winning keynote speaker, Matthew guarantees that his presentation will be the most exciting demo of Subsurface LIVE Winter 2021.
Denis Magda
Denis Magda is an open source enthusiast who started his journey at Sun Microsystems as a developer advocate and presently works at Apache Software Foundation in the roles of Apache Ignite committer and PMC member. He is an expert in distributed systems and platforms who actively contributes to Apache Ignite and helps companies to build successful open source projects. You can be sure to come across Denis at conferences, workshops and other events sharing his knowledge about open source, community building and distributed systems.
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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