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Title & Speakers Event
Gunnar Morling – Software Engineer @ Decodable

Abstract: You've been tasked with implementing a data streaming pipeline for propagating data changes from your operational Postgres database to a search index in OpenSearch. Data views in OS should be denormalized for fast querying, and of course there should be no noticeable impact on the production database. In this session we'll discuss how to build this data pipeline using two popular open-source projects: Debezium for log-based change data capture (CDC) and Apache Flink for stream processing. Join us for this talk and learn about: * Setting up change data streams with Debezium * Efficiently building nested data structures from 1:n joins * Deployment options: Kafka Connect vs. Flink CDC

debezium flink opensearch
Yingjun Wu – Speaker @ RisingWave Labs

Abstract: RisingWave is an open-source streaming database designed from scratch for the cloud. It implemented a Snowflake-style storage-compute separation architecture to reduce performance cost, and provides users with a PostgreSQL-like experience for stream processing. Over the last three years, RisingWave has evolved from a one-person project to a rapidly-growing product deployed by nearly 100 enterprises and startups. But the journey of building RisingWave is full of challenges. In this talk, I'd like to share with you lessons we've gained from four dimensions: 1) the decoupled compute-storage architecture, 2) the balances between stream processing and OLAP, 3) the Rust ecosystem, and 4) the product positioning. I will dive deep into technical details and then share with you my views on the future of stream processing.

Cloud Computing postgresql Rust Snowflake Data Streaming
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