Microsoft Azure ADLS target overview
When using Microsoft Azure ADLS as a target in a Replicate task, both the Full Load and Change Processing data are written to data files. Depending on the endpoint settings, the data file format can be CSV, JSON or Parquet. While the explanations in this section relate to CSV files, the same is true for JSON and Parquet files.
Full Load files are named using incremental counters such as LOAD00001.csv, LOAD 00002.csv, and so on, whereas Apply Changes files are named using timestamps e.g. 20141029-1134010000.csv.
When the Create metadata files in the target folder option is enabled, a corresponding metadata file is created using the same naming format, but with a .dfm extension.
For each source table, a folder is created in the specified Microsoft Azure ADLS target folder. The data files are created on the Replicate Server machine and are then uploaded to the specified Microsoft Azure ADLS target folder once the File Attributes (Full Load) and Change Processing upload conditions have been met.