azure data factory xml to parquet - Brave Search

How to transform xml data using datafactory pipeline

stackoverflow.com › questions › 56224407 › how-to-transform-xml-data-using-datafactory-pipeline

Currently, ADF doesn’t support XML natively. But

You may write your own code and then use custom activity of ADF.
SSIS has built-in support for XML as a source. Maybe you could take a look.

Answer from Fang Liu on Stack Overflow

xscode.com › transforming-xml-data-with-azure-data-factory-xml-to-parquet-and-sql

Transforming XML Data with Azure Data Factory: XML to Parquet and SQL

Define the XML Schema:Import the ... like Filter, Aggregate, or Derived Column to shape the data as needed · Choose the Sink transformation and configure it to write to Parquet format · Specify the output location in either Azure Data Lake or Blob Storage...

Microsoft Learn

learn.microsoft.com › en-us › azure › data-factory › format-parquet

Parquet format - Azure Data Factory & Azure Synapse | Microsoft Learn

September 5, 2025 - This topic describes how to deal with Parquet format in Azure Data Factory and Azure Synapse Analytics pipelines.

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ADF Inline Datasets: XML, XLSX, Delta, CDM - YouTube

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People also ask

How to Create parquet file from SQL Table data

Simply make use of copyData activity in a pipeline and provide the details of source (i.e. which Table to refer) and sink (i.e. ADLS Gen 2 folder location).

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Getting started with ADF - Creating and Loading data in parquet ...

What is Parquet file format

Parquet is structured, column-oriented (also called columnar storage), compressed, binary file format.

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Getting started with ADF - Creating and Loading data in parquet ...

What is item in Foreach in adf

Item is current object/record of the ForEach items array.

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Getting started with ADF - Creating and Loading data in parquet ...

stackoverflow.com › questions › 56224407 › how-to-transform-xml-data-using-datafactory-pipeline

How to transform xml data using datafactory pipeline - Stack Overflow

Currently, ADF doesn’t support XML natively. But

You may write your own code and then use custom activity of ADF.
SSIS has built-in support for XML as a source. Maybe you could take a look.

For that case you have to use some custom code to do this. I would choose from these options

Azure Functions - only for some simple data processing
Azure Databricks - in the case you need to process some big XML data

getorchestra.io › guides › handling-data-in-parquet-format-azure-data-factorys-parquet-transformation-operator

Handling Data in Parquet Format: Azure Data Factory's Parquet Transformation Operator | Orchestra

July 9, 2024 - Azure Data Factory's Parquet Transformation Operator supports schema evolution, ensuring that data processing remains smooth even when schemas evolve. Parallel Processing: Data engineers can leverage parallel processing capabilities, enabling ...

stackoverflow.com › questions › 50929417 › azure-data-factory-csv-to-parquet-changing-file-extension

Azure Data Factory - CSV to Parquet - Changing file extension - Stack Overflow

You could use get metadata activity to get the file name of your source dataset and then pass it to both input and output dataset of your copy activity if you are using azure data factory v2.

Microsoft Learn

learn.microsoft.com › en-us › azure › data-factory › supported-file-formats-and-compression-codecs

Supported file formats by copy activity in Azure Data Factory - Azure Data Factory & Azure Synapse | Microsoft Learn

February 13, 2025 - Azure Data Factory supports the following file formats. Refer to each article for format-based settings. Avro format · Binary format · Delimited text format · Excel format · JSON format · ORC format · Parquet format · XML format · You can use the Copy activity to copy files as-is between two file-based data stores, in which case the data is copied efficiently without any serialization or deserialization.

Microsoft Learn

learn.microsoft.com › en-us › answers › questions › 599573 › api-(json)-to-parquet-via-datafactory

API (JSON) to Parquet via DataFactory - Microsoft Q&A

Hi @Ryan Abbey ,

Thank you for posting query on Microsoft Q&A Platform.

Yes, Its limitation in Copy activity. Copy activity will not able to flatten if you have nested arrays. A workaround for this will be using Flatten transformation in data flows.

Similar example with nested arrays discussed here. Please check it. I tried flatten transformation on your sample json. Its working fine. I was able to flatten.

Hope this will help. Please let us know if any further queries.

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stackoverflow.com › questions › 72547903 › azure-data-factory-run-script-on-parquet-files-and-output-as-parquet-files

Azure Data Factory - run script on parquet files and output as parquet files - Stack Overflow

Bring the best of human thought and AI automation together at your work. Explore Stack Internal ... In Azure Data Factory I have a pipeline, created from the built-in copy data task, that copies data from 12 entities (campaign, lead, contact etc.) from Dynamics CRM (using a linked service) and outputs the contents as parquet files in account storage.

tech-findings.com › home › azure data factory › getting started with adf - creating and loading data in parquet file from sql tables dynamically

Getting started with ADF - Creating and Loading data in parquet file from SQL Tables dynamically

June 6, 2022 - load data from SQL Tables to parquet file , CopyData from SQL Table to parquet file dynamically, how to create parquet file from SQL table data ADF

Microsoft Community

techcommunity.microsoft.com › microsoft community hub › communities › products › azure data › azure data factory blog

Azure Data Factory adds support for XML format | Microsoft Community Hub

July 17, 2020 - Azure Data Factory now supports reading data from XML files in copy activity and mapping data flow.

stackoverflow.com › questions › 77623842 › how-to-flatten-an-xml-file-in-an-azure-data-flow-when-the-source-is-dynamic

How to flatten an XML file in an azure data flow when the source is dynamic - Stack Overflow

I am creating an Azure Synapse pipeline that is utilizing a data flow which is attempting to transform a pretty complex xml file into a parquet file. I am doing this by flattening the xml from different points so that I can export each array into its own parquet file.

Microsoft Learn

learn.microsoft.com › en-us › azure › data-factory › format-xml

XML format - Azure Data Factory & Azure Synapse | Microsoft Learn

May 15, 2024 - When previewing XML files, data is shown with JSON hierarchy, and you use JSON path to point to the fields. The following properties are supported in the copy activity *source* section. Learn more from XML connector behavior. ... In mapping data flows, you can read XML format in the following data stores: Azure Blob Storage, Azure Data Lake Storage Gen1, Azure Data Lake Storage Gen2, Amazon S3 and SFTP.

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Building End-to-End Pipelines for Writing Parquet Files ...

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medium.com › swlh › finally-azure-data-factory-can-read-write-xml-files-d6c8588f7edd

Finally, Azure Data Factory Can Read & Write XML Files | by OneBitAhead | The Startup | Medium

November 13, 2020 - Once uploaded to an Azure Data Lake Storage (v2) the file can be accessed via the Data Factory. First create a new Dataset, choose XML as format type, and point it to the location of the file.

Microsoft Learn

learn.microsoft.com › en-us › azure › data-factory › tutorial-data-flow-write-to-lake

Best practices for writing to files to data lake with data flows - Azure Data Factory | Microsoft Learn

May 15, 2024 - If you're new to Azure Data Factory, see Introduction to Azure Data Factory. In this tutorial, you'll learn best practices that can be applied when writing files to ADLS Gen2 or Azure Blob Storage using data flows. You'll need access to an Azure Blob Storage Account or Azure Data Lake Store Gen2 account for reading a parquet file and then storing the results in folders.

mohan-balaji.medium.com › convert-parquet-format-to-delta-format-using-azure-data-factory-or-azure-synapse-analytics-4dcbac075d97

Convert parquet format to delta format using azure data factory or azure synapse analytics. | by Mohan Balaji | Medium

June 22, 2023 - Effortless Parquet to Delta Conversion in Azure Data Factory: Seamlessly transform and optimize data with step-by-step guidance. Elevate your data integration game today!

stackoverflow.com › questions › 71373904 › azure-data-factory-data-flow-parquet-schema-and-data-type-any

Azure Data Factory Data Flow - Parquet, Schema and Data Type "Any" - Stack Overflow

If this is being inferred from the Import projection method automatically, you can try manually importing the schema from a file in the source dataset properties.

If that doesn't help, you can cast that specific column into required data type using Derived Column step with conversion functions.

Microsoft Learn

learn.microsoft.com › en-us › fabric › data-factory › format-parquet

How to configure Parquet format in the pipeline of Data Factory in Microsoft Fabric - Microsoft Fabric | Microsoft Learn

October 13, 2025 - This article explains how to configure Parquet format in the pipeline of Data Factory in Microsoft Fabric.

docs.azure.cn › en-us › data-factory › connector-troubleshoot-parquet

Troubleshoot the Parquet format connector - Azure Data Factory & Azure Synapse | Azure Docs

Message: Column %column; does not exist in Parquet file. Cause: The source schema is a mismatch with the sink schema. Recommendation: Check the mappings in the activity. Make sure that the source column can be mapped to the correct sink column. Message: Incorrect format of %srcValue; for converting to %dstType;. Cause: The data can't be converted into the type that's specified in mappings.source.

Microsoft Learn

learn.microsoft.com › en-us › answers › questions › 41509 › azure-data-factory-convert-excel-file-copied-from

Azure data factory convert excel file copied from Sharepoint online to parquet - Microsoft Q&A

June 30, 2020 - Read more here : https://learn.microsoft.com/en-us/azure/data-factory/format-excel · Hence, you can convert the copied excel to parquet format by having another copy activity to copy data from the xls files in your ADLS Gen1, to a parquet dataset which can still be on the same ADLS Gen1.