Which language do you use to query an eventhouse?
Why B is the answer
KQL
KQL is the query language for eventhouses.
In detail
- An eventhouse uses KQL.
- A KQL query reads as a pipeline of steps.
Use case
An illustrative scenario, not a real incident.
An engineer asks for error counts per minute over the last hour, and a short KQL query returns them.
See it in different ways
flowchart LR A["Event source"] --> B["Eventstream"] B --> C["Eventhouse"] B --> D["Lakehouse"] C --> E["KQL queries and alerts"]
mindmap
root((Data stores))
Lakehouse
Spark
Files and tables
Warehouse
T-SQL
Transactions
Eventhouse
KQL
Streaming telemetryflowchart LR S0["Table"] --> S1["where filter"] --> S2["summarize"] --> S3["Result"]
Key point: Eventhouses use KQL.
Why the other options are wrong
- A. MDX
- MDX is for multidimensional models.
- C. DAX
- DAX is for semantic models.
- D. Python only
- Python is not the query language of an eventhouse.