Streaming Joins Explained
Jay discusses the powerful capabilities of streaming joins using KSQlDB, highlighting how it can unify customer data scattered across multiple systems. He explains the process of treating changes as a change log and how Kafka connect can extract this information. Eberhard raises the question of distributed queries, and Jay clarifies that while joins occur locally within clusters, data can still be integrated across different topics and nodes efficiently.In this clip
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Episode 433: Jay Kreps on ksqlDB
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