As of this writing, Azure Data Factory supports only the following file formats, but we can be sure that more formats will be added in the future. b) Connect "DS_Sink_Location" dataset to the Sink tab. github_configuration - A github_configuration block as defined below. Create DataFrame from the Data sources in Databricks. The query below makes the first step, read the JSON file. It benefits from its simple structure which . The three tests were: Loading all the data from the files c) Review Mapping tab, ensure each column is mapped between Blob file and SQL table. Azure Data Factory: Copy activity to save Json from Rest API as CSV/Parquet to ADLS Gen2 Trying to save Json output from Rest API as CSV/Parquet file to ADLS Gen2 using Copy activity. The results of these tasks are published as artifacts to be used in the release stages. This would only be guessing, but it seems like Data Factory does not consider structure when writing to files from REST APIs. Azure Data Services - Data Factory Data Flows. a) Connect "DS_Source_Location" dataset to the Source tab. Update the columns those you want to flatten (step 4 in the image) After . Azure Data Factory V2 - me -v --db mssql &>> blog The 'Build and Validation' stage has two main objectives: validating the ARM Templates. Azure Data Factory (ADF): How to extract JSON data from an API to Azure ... PARQUET: A columnar format with defined data types for the columns, very common in Big Data environments. Flattening JSON in Azure Data Factory. I then repeated some of the tests I ran in the first two posts in this series - here and here. Read more about JSON expressions at . Export JSON documents from Cosmos DB collection into various file-based stores. Reading and Writing Data in Azure Databricks | Parquet Files Hello Boopathiraj D and thank you for your inquiry. Allowed values are: setOfObjects and arrayOfObjects.The default value is setOfObjects.See JSON file patterns section for details about these patterns. using Newtonsoft.Json.Linq; using System.Collections.Generic; using System.Data.SqlClient; namespace Company.Function {public class metadataItem {public string name Data Factory Pipeline JSON to SQL Table | Azure - Freelancer