SE Radio 605: Yingjun Wu on Streaming Databases
Software Engineering Radio - the podcast for professional software developers
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Exploring Streaming Databases and Real-Time Data Processing
The chapter delves into the architectural principles and differences between streaming and traditional databases, emphasizing real-time views and data storage optimization. It discusses how streaming databases handle schema changes, upstream service changes, and achieve low latency through incremental computation. Various applications and use cases for streaming databases, data ingestion methods like Kafka and CDC, and the role of data connectors in systems like Snowflake and Kafka are also explored.
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