10h ago · 7 min read · To stream CDC data to Apache Iceberg with RisingWave: connect RisingWave's built-in Postgres CDC or MySQL CDC connector to your source database, create a materialized view to shape the data, and define an Iceberg sink with type = 'upsert'. RisingWave...
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10h ago · 5 min read · Building a Data Vault on Apache Iceberg with RisingWave delivers the auditability and flexibility of Data Vault 2.0 with the real-time freshness of streaming CDC. RisingWave captures database changes continuously, computes hub, link, and satellite st...
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10h ago · 5 min read · RisingWave can stream PostgreSQL changes directly into Apache Iceberg tables in real time using its built-in postgres-cdc connector. By reading PostgreSQL's logical replication log (WAL), RisingWave captures every INSERT, UPDATE, and DELETE and write...
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10h ago · 5 min read · Streaming ETL for core banking means replacing nightly batch extracts with continuous change data capture (CDC) pipelines that propagate every account update, transaction, and ledger change to downstream systems within seconds of commitment — elimina...
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1d ago · 10 min read · By the RisingWave Engineering Team Introduction Every e-commerce enrichment pipeline joins a high-volume event stream against dimension tables: product catalog, pricing tiers, user segments, geographic data. The event stream changes by the second. Th...
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1d ago · 8 min read · Most engineers who connect RisingWave to a Debezium CDC topic reach for FORMAT DEBEZIUM by default. The name matches the tool, so the choice feels obvious. But for a surprisingly common case, it is the wrong choice, and using it silently trades away ...
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2d ago · 13 min read · Why Batch Inventory Systems Fail at Scale Every e-commerce operations team has experienced this: a customer places an order, the system confirms it, and ten minutes later a support ticket arrives because the item was already out of stock. The batch j...
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Mar 13 · 16 min read · TLDR: A serious data platform is defined less by where files are stored and more by how changes enter the system, how serving layers are materialized, and who owns quality over time. Lambda, Kappa, CDC, Medallion, and Data Mesh are patterns for makin...
Join discussionMar 13 · 16 min read · TLDR: Change data capture moves committed database changes into downstream systems without full reloads. It is most useful when freshness matters, replay matters, and the source database must remain the system of record. TLDR: CDC becomes production-...
Join discussionFeb 20 · 19 min read · I recently built a demo that walks through something that scares most engineering teams: migrating a live production database from MySQL to PostgreSQL without taking the application down. Not a toy mi
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