azure data factory json to parquet

Transforming JSON data with the help of Azure Data Factory - Part 5 ... Azure Blob. Click add new policy. Click "Run". A workaround for this will be using Flatten transformation in data flows. Note that there are two parameters schema_name and table_name, which you can also set up to be dynamically populated. parquet - Rule-based mapping on Copy Activity in Azure Data Factory ... How to Read JSON File with Multiple Arrays By using Flatten Activity ... Copy activity will not able to flatten if you have nested arrays. Exam DP-203 topic 1 question 8 discussion - ExamTopics With this new feature, you can now ingest, transform, generate schemas, build hierarchies, and sink complex data types using JSON in data flows. Each CDM folder is a combination of data files (.csv files), and a 'model.json' file describing the content of your folder (read these Microsoft docs for more detailed information on the CDM format . Parquet Dataset - Python - social.msdn.microsoft.com The solution has a single ADF Pipeline with three activities, one to bring the relational data to ADLS, another one to transform the data, and a final one to load the data into Azure Cosmos DB. Set NONE for schema: Step 2: Make a data flow with this new dataset as the source: Step 3: Go to Projection -> Import Projection. . JSON format - Azure Data Factory & Azure Synapse | Microsoft Docs