Data scientists and analysts need fast access to millions of records. However, the throughput of traditional data transfer APIs such as pyodbc is insufficient to meet their needs, so they extract data into files on their local machines. This results in significant security and governance issues as well as stale data copies.Join us as we explore how Apache Arrow Flight solves this problem by providing a new and modern standard for transporting large data between networked applications. We’ll even run a live bake-off to demonstrate how Arrow Flight enables more than 10x faster transfer rates for highly parallel systems compared to pyodbc.
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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