Streaming Database Solutions
Streaming databases aim to simplify stream processing by eliminating the complexities associated with systems like Spark and Flink. Users can engage with these databases without needing deep technical knowledge of underlying concepts such as checkpointing and fault tolerance. Additionally, they offer a more cost-effective approach compared to traditional big data systems, which often involve resource-intensive data shuffling and partitioning.In this clip
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Software Engineering Radio - the podcast for professional software developers
SE Radio 605: Yingjun Wu on Streaming Databases
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