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risingwave

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2020-Q1 2026-Q1

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Everyone makes streaming sound simple – until you try bolting it onto your batch pipeline and it blows up. This talk skips the marketing gloss and gets into the real work: how to make batch and streaming actually play nice. I’ll walk through the essentials, then get into the messy parts – compaction, primary key updates, exactly-once delivery, and keeping your compute bill from spiraling. You’ll learn how to plug RisingWave into your existing stack and get real-time results without rewriting everything. It’s based on what we’ve seen in production – real problems, real fixes, no buzzwords.

Everyone makes streaming sound simple - until you try bolting it onto your batch pipeline and it blows up. This talk skips the marketing gloss and gets into the real work: how to make batch and streaming actually play nice. I will walk through the essentials, then get into the messy parts - compaction, primary key updates, exactly-once delivery, and keeping your compute bill from spiraling. You will learn how to plug RisingWave into your existing stack and get real-time results without rewriting everything. It is based on what we have seen in production - real problems, real fixes, no buzzwords.

Hands-on workshop: ingest data into RisingWave to do data processing, learn common streaming patterns, and integrate it as part of a data pipeline. Ride-Hailing data is used as a case study. Topics include Incremental View Maintenance, stateful queries (joins and aggregations), and integration with external components like Kafka to ingest and sink data.