Build a real-time data warehouse based on Flink and OceanBase
Objective: This tutorial leverages OceanBase's HTAP capabilities and Flink's unified stream and batch processing to demonstrate how to construct a data hierarchy—from the Operational Data Store (ODS), to the Data Warehouse Detail Layer (DWD), and finally to the Application Data Store (ADS)—using scheduled tasks. It also covers setting up a visual dashboard using supporting ecosystem tools.
For detailed steps, see Build a real-time data warehouse and visual dashboard with OceanBase.
Rapidly process and analyze massive data in OceanBase using Spark
Objective: Utilizing OceanBase's strong consistency and distributed query capabilities, together with Spark's distributed computing framework and OceanBase's high scalability, this tutorial aims to maximize data processing speed and system responsiveness.