Two different things share the name. A Lakeflow pipeline writes one you can query for progress, lineage and data quality metrics; a compute resource has an Event log tab showing its lifecycle, for example resizing or losing spot nodes, kept for 60 days.
Read more: Microsoft Learn
In the Ultra Transcenders books
Each book explains Event log in context, with comparison tables and the common traps.
Terms in this definition
- Share
In OpenSharing, the container you fill with tables, views, volumes, models and notebooks for recipients. You need
CREATE SHAREon the metastore to make one; add a schema and all its assets, including later ones, go with history. - Pipeline
Groups activities logically so that, together, they move and transform data, either one after another or side by side; found in both Azure Data Factory and Microsoft Fabric.
Related terms
- Investigation package
A zip of forensic data collected from a Defender for Endpoint device by the Collect investigation package response action. It covers items such as autoruns, installed software, network connections, processes, scheduled tasks and the security event log.
- SDP
Spark Declarative Pipelines: open-source Apache Spark tooling to declare batch or streaming data flows in Python or SQL. Databricks extends it as Lakeflow Spark Declarative Pipelines, adding
AUTO CDC, expectations and a queryable event log. - SecurityEvent
Table in Log Analytics containing Windows Security event log entries, gathered by Defender for Cloud or Microsoft Sentinel.
- Windows Event Forwarding
Using subscriptions, this Windows capability sends event log entries from source machines to a collector server. CEF and syslog are not things it can receive.
- Windows Security Events via AMA
Uses AMA and a DCR to send events from the Windows Security event log into Microsoft Sentinel's SecurityEvent table.