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.
DZone has released their Data Pipelines Trend Report. It is a survey of software developers, architects, platform engineers, and IT professionals to understand the challenges and potential solutions around ingesting, processing, and leveraging data.
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In this webinar, learn how Enel Group worked with Agile Lab to implement Dremio as a data mesh solution for providing broad access to a unified view of their data, and how they use that architecture to enable a multitude of use cases.
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Learn how direct access to analytics on Amazon S3 with Dremio can help banking and finance firms achieve a consistent and data-driven customer experience.
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