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RisingWave fits naturally into a marketing data mesh as the real-time streaming layer that each domain team uses to publish continuously updated data products. Instead of centralized ETL pipelines, domain teams own their RisingWave materialized views...

Discovery and requirements gathering are among the most critical phases of data product management. Yet they're also among the most challenging. Too often, data teams fall into the trap of being order-takers, responding to ad-hoc requests rather than...

You are being asked to make a long‑term bet on data architecture. Most conversations frame this as a choice between data lake and data mesh. Vendors, internal teams, and reference architectures encourage you to pick a side. 💡 “Data lake vs data mes...

In the rapidly evolving digital landscape, data privacy and security have become critical priorities—especially for SaaS (Software-as-a-Service) companies operating in Europe. With strict regulations like the General Data Protection Regulation (GDPR)...

Introduction In numerous blog posts, industry experts often emphasize "trust" as one of the most important success factors for a data team. And there’s a good reason they bring it up so often. For a data team to deliver value, stakeholders must trust...

Problem description & analysis: The MySQL database has a sampling table, where each ITEM and CITY is a sampling task. Each sampling task includes 1 to 5 records, indicating that data was collected within 5 weeks. START_Y and START_W are the year and ...
