Dataflow Gen2
Dataflow Gen2 is a Fabric low-code data-transformation tool built on Power Query. DP-700 covers choosing it versus notebooks or pipelines and resolving Dataflow Gen2 errors.
Dataflow Gen2 is a Fabric low-code data-transformation tool built on Power Query. DP-700 covers choosing it versus notebooks or pipelines and resolving Dataflow Gen2 errors.
Microsoft Fabric is an end-to-end analytics platform that unifies data engineering, warehousing, and real-time intelligence on OneLake.
OneLake is the single, unified data lake built into Microsoft Fabric that stores all analytics data.
A lakehouse is a Fabric store that combines a data lake with structured querying over Delta tables.
A Delta table is a Parquet-based table format with ACID transactions used across Fabric lakehouses.
PySpark is the Python API for Apache Spark, used in Fabric notebooks to transform large datasets.
A notebook is a Fabric authoring surface for running Spark code (PySpark, SQL) for data engineering.
Dataflow Gen2 is a Fabric low-code data-transformation tool built on Power Query.
A Fabric data pipeline orchestrates activities such as copy, notebook, and dataflow runs.
An Eventstream is a Fabric Real-Time Intelligence feature that captures and routes streaming events with no code.
An Eventhouse is a Fabric store optimized for real-time and time-series data queried with KQL.
KQL (Kusto Query Language) is the query language for Fabric Real-Time Intelligence and Eventhouses.
Spark structured streaming is a Spark engine for scalable, fault-tolerant stream processing in Fabric notebooks.
Mirroring in Fabric continuously replicates an external database into OneLake for analytics without building pipelines.
A OneLake shortcut is a reference that surfaces data from another location in a Fabric item without copying it.