Data architectures for reporting and analytics continue to evolve as organizations transition from on-premises systems to the cloud. Organizations look to invest in high-performance, flexible, scalable, and future-proof data architecture. Instead of considering the data warehouse and the data lake as independent “data islands” that coexist in a cloud platform, it is time to reconsider the fundamental ways that information is accumulated, managed, and then provisioned to the different downstream data consumers and analytics tools.In this webinar, David Loshin from TDWI helps you prepare for the next-generation cloud data architecture and discusses steps to take best advantage of this modernized environment.In this webinar, attendees will learn about:
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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