Why does this matter for "read online"? Because it means your exploratory queries (the messy, "I don't know what I'm looking for" questions) run at interactive speeds over petabytes of time-series data.
ADX supports "zero-effort ingestion." It can pull data from Event Hubs, IoT Hubs, and Kafka, ingesting data in near real-time. The ingestion process is asynchronous, decoupling the write load from the query load to maintain performance stability. scalable data analytics with azure data explorer read online
For those looking to dive deeper into scalable data analytics with ADX, several high-quality resources are available online: Why does this matter for "read online"
We’ve been sold a comforting lie for the last decade. The ingestion process is asynchronous, decoupling the write
The lie is this: "You can use your data lake for everything. Just add a little Spark, maybe a dash of Presto, and voilà —real-time analytics."