“Data and analytics for all!” — the admirable, new mantra for today’s companies. But it’s not easy to put all of an organization’s analytical data and assets into the hands of everyone that needs it. That’s why embarking on this democratization initiative requires you to be prepared to overcome the five monumental challenges you undoubtedly will face.Join us for this interactive webcast where we will: explore the recommended components of an all-encompassing, extended analytics architecture; dive into the details of what stands between you and data democratization success, and; reveal how a new open data architecture maximizes data access with minimal data movement and no data copies.Attendees will learn:
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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