I have requirement to read data from azure sql server and write in excel blob using data factory. i created csv file from azure sql server using datafactory copy activity. i have no idea how to convert csv to excel or directly read excel from azure sql using data factory. I searched on internet and found azure functions as an option.
Any suggestions you all have about saving CSV to XLSX via Azure Functions?
Excel format is supported for the following connectors: Amazon S3,
Azure Blob, Azure Data Lake Storage Gen1, Azure Data Lake Storage
Gen2, Azure File Storage, File System, FTP, Google Cloud Storage,
HDFS, HTTP, and SFTP. It is supported as source but not sink.
As the MSDN says, Excel format is not supported as sink by now. So you can't directly convert csv file to excel file using Copy activity.
In Azure function, you can create a python function and use pandas to read csv file. Then convert it to excel file as #Marco Massetti comments.
Related
I'm creating a stored procedure which gets executed when a CSV is uploaded to Blob Storage. This file is then processed using TSQL and wish to write the result to a file
I have been able to read a file and process it using DATA_SOURCE, database scoped credential and external data source. I'm however stuck on writing the output back to a different blob container. How would I do this?
If it was me, I'd use Azure Data Factory, you can create a pipeline that's activated when a file is added to a blob, have it import that file, run an SP and export the results to a blob.
That maybe an Azure function that is activated on changes to a blob container.
I read a few threads on this but noticed most are outdated, with excel becoming an integration in 2020.
I have a few excel files stored in Drobox, I would like to automate the extraction of that data into azure data factory, perform some ETL functions with data coming from other sources, and finally push the final, complete table to Azure SQL.
I would like to ask what is the most efficient way of doing so?
Would it be on the basis of automating a logic app to extract the xlsx files into Azure Blob, use data factory for ETL, join with other SQL tables, and finally push the final table to Azure SQL?
Appreciate it!
Before using Logic app to extract excel file Know Issues and Limitations with respect to excel connectors.
If you are importing large files using logic app depending on size of files you are importing consider this thread once - logic apps vs azure functions for large files
Just to summarize approach, I have mentioned below steps:
Step1: Use Azure Logic app to upload excel files from Dropbox to blob storage
Step2: Create data factory pipeline with copy data activity
Step3: Use blob storage service as a source dataset.
Step4: Create SQL database with required schema.
Step5: Do schema mapping
Step6: Finally Use SQL database table as sink
My source is SQL Server and I am using SSIS to export data to S3 Buckets, but now my requirement is to send files as parquet File formate.
Can you guys give some clues on how to achieve this?
Thanks,
Ven
For folks stumbling on this answer, Apache Parquet is a project that specifies a columnar file format employed by Hadoop and other Apache projects.
Unless you find a custom component or write some .NET code to do it, you're not going to be able to export data from SQL Server to a Parquet file. KingswaySoft's SSIS Big Data Components might offer one such custom component, but I've got no familiarity.
If you were exporting to Azure, you'd have two options:
Use the Flexible File Destination component (part of the Azure feature pack), which exports to a Parquet file hosted in Azure Blob or Data Lake Gen2 storage.
Leverage PolyBase, a SQL Server feature. It let's you export to a Parquet file via the external table feature. However, that file has to be hosted in a location mentioned here. Unfortunately S3 isn't an option.
If it were me, I'd move the data to S3 as a CSV file then use Athena to convert the CSV file to Pqrquet. There is a nifty article here that talks through the Athena piece:
https://www.cloudforecast.io/blog/Athena-to-transform-CSV-to-Parquet/
Net-net, you'll need to spend a little money, get creative, switch to Azure, or do the conversion in AWS.
I have a .csv file in azure data lake store, Is there a way to load the data from that file to azure sql server using Function app? Currently I am using ADF to load the data.
Thanks,
Rav
There is an Azure Data Lake Store Binding for Azure Functions. It supports input and output bindings.
Samples
I want to copy data from sharepoint to microsoft azure sql DW using azure datafactory or alternative service. Can I do this. Please anyone help me with this.
You can do this by setting up a data pipeline using Azure Data Factory to Azure blob storage. Afterwards you can use Azure's fast PolyBase technology to load the data from blob to your SQL Data Warehouse instance.
Can I ask how much data you intend on loading into the DW? Azure Data Warehouse is intended for use with at least terabyte level data up to petabyte compute and storage. I only ask because each SharePoint list or Excel file has a maximum of 2GB per file.