Scenario: I want to build complex SQL transformations on the data in my evenstream. Currently, I am using Confluent and building Flink SQL on a Kafka topic. I can create views to encapsulate complex logic which is then computed on the fly. This enables me to syntactically split up complex transformations in more managable, multi-step operations (SQL CREATE VIEW Statement in Confluent Cloud for Apache Flink | Confluent Documentation).
Problem: In Fabric Eventstreams, I can't chain SQL operators to achieve the same behaviour. This is specifically listed in limitations here: Process Events Using a SQL Operator - Microsoft Fabric | Microsoft Learn. I am forced to materilize the query result as a derived stream, incurring additional cost and cluttering the UI.
miguel
on:
Personalized Source List in Get Data
on:
RLS testing UI (Test RLS roles directly in the ser...
on:
DO NOT CONVERT my Workspace to Fabric Free Trial W...
on:
MS Fabric: Manage Connections and gateways with Fo...
on:
CU% over time: Filter by workspace (Capacity Metri...
YSD
on:
Support the SSE protocol as Fabric Eventstream sou...