Episode 504: Frank McSherry on Materialize
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Episode 504: Frank McSherry on Materialize
Frank McSherry, chief scientist at Materialize, talks about the Materialize streaming database, which supports real-time analytics by maintaining incremental views over streaming data. Host Akshay Manchale spoke with Frank about various ways in which analytical systems are built over streaming services today, pitfalls associated with those solutions, and how Materialize simplifies both the expression of analytical questions through SQL and the correctness of the answers computed over multiple data sources. The conversation explores the differential/timely data flow that powers the compute plane of Materialize, how it timestamps data from sources to allow for incremental view maintenance, as well as how it’s deployed, how it can be recovered, and several interesting use cases.
This episode sponsored by OpenZiti.
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