have you ever made an azure data convert Azure Data Lake excel conversion to CSV file.
first, I have tried using SSIS with Azure Data Lake Source, but when Mapping is not possible, the choice is to add text.
second, says try using azure apps logic with create CSV table but the csv that comes out is only the structure in that folder
Thank you in advance
There is not a built-in way to extract from excel file in Azure data lake. I would suggest you to try one of the below approaches:
Write Custom .NET library for converting Excel to CSV and deploy that to Azure Data Lake Analytics. Azure Data Lake Analytics Programming Guide
Write a custom .NET activity in Azure Data Factory to do this. Custom Activities in Azure Data Factory
Use Azure Functions and Open XML do this activity as detailed in the stack overflow post
Use SSIS Package to do the conversion. You can have SSIS Runtimes in Azure Data Factory. SSIS packages running in Azure Data Factory
As I know about Azure, These isn't any way can help convert the excel file to csv directly.
You could follow these steps:
Download the excel file to you computer.
Import the excel file to the you SQL database.
Then export the table data as CSV file to you Blob Storage.
You could reference this document:
Import data from Excel to SQL Server or Azure SQL Database
Connect to Azure Blob Storage (SQL Server Import and Export
Wizard)
Hope this helps.
Related
Scenario:I have formatted Excel files in ADLS, I want to access them in SSIS package and perform simple transformations and load them in to SQL DB.
What connection manager to use for fetching Excel files since these are not CSV files.
Using the Flexible File Source component on the data flow, you can connect SSIS to Azure data lake storage.
Install Azure feature pack for Integration Services (SSIS) extension to get the components required for Azure resources.
Provide all the details in Flexible File Source Editor properties to connect to Azure data lake as mentioned here.
Currently the source file formats supported are Text, Avro, ORC, Parquet.
Also, refer to this MS document for Configure the Azure Data Lake Store Connection Manager and this link for example.
I need to generate an excel file in Azure Data Factory and save it in a blob storage. I know that Sink to Excel file is not available. I would like to create an Azure Function in PowerShell to achieve this but I don't know how to go about it.
I tried using HTTP request I am able to send the data from HTTP request to azure SQL but I am manually Send the data through postman but that is not my requirement
Requirement:I need to use a scheduler and a particular time the data from the text file need to be read and to be stored into Azure-SqlDB
if you have any resource or examples please let me know
About how import Text file(CSV) data to Azure SQL by using logic-App, you could reference this tutorial: Quick, easy and cheap way to automate data loading from CSV file into Azure SQL:
Check out how to leverage Azure Blob Storage and Logic Apps for
simple scenario of data loading from CSV into Azure SQL in less than
30 minutes and with almost no coding.
About any developer out there at some point or another had to
automate ETL process for data loading. This article will present a
fast and convinient way to create data loading workflow for CSVs
using Azure SQL and blob storage.
It also introduced other ways you could reference:
How import Text file(CSV) data to Azure SQL by using Data Factory.
How import Text file(CSV) data from Blob stroage to Azure SQL by
using T-SQL.
You also could reference:
Upload Flat File on Azure SQL Database using Azure Logic App
Using Azure Logic Apps to Import CSV to SQL Server
I'm agree with #Mandar Dharmadhikari, Logic app is not the best way to do it.
If your csv file with large data, I also suggest you to use Data Factory，when the copy active pipeline created, you could trigger the pipeline executing in schedule.
Hope this helps.
I would suggest you yo use Azure Data Factory as it is more suited to the task that you want to perform. Following post gives the idea on how to move csv data fo SQL.
http://normalian.hatenablog.com/entry/2017/09/04/233320
I am new to Azure and hence trying to understand what services to use when and how.
At the moment, I have one excel file that has couple of tabs that require some transformation to create one excel file tab (inside the source file itself - say Tab "x"). The final tab "x" created is then being useful for creating one final excel file that is shared to various team.
At present, everything is done manually.
This needs to change and the excel file shared to team has to be automated. The source of the file is the excel file that has various tabs (excluding tab "x") and the reporting tool will be SSRS with excel data being stored in cloud.
Keeping this scenario in mind, what is the best way to store excel data into cloud? The excel data will be stored in cloud on a monthly basis. I am confused as to whether to store data in Azure-SQL, Azure Data Lake Gen 2 or Azure Data Lake Analytics or Azure SQL VM?
Every month data can be fetched from Excel file and populate into Azure using azure data factory. But I am not sure what is the best way to store data in the cloud considering the fact that some ETL process is needed to generate data in format similar to tab "X".
I think you can think about to using Azure SQL database.
Azure SQL database or SQL server support you import data from the excel( or csv) files. For more details and limits, please see: Import data from Excel to SQL Server or Azure SQL Database.
If your data have stored in Azure SQL database, you also can using EXCEL to get the data from Azure SQL database:
Connect Excel to a single database in Azure SQL Database and import data and create tables and charts based on values in the database. In this tutorial you will set up the connection between Excel and a database table, save the file that stores data and the connection information for Excel, and then create a pivot chart from the database values.
Reference: Import data from Excel to SQL Server or Azure SQL Database.
I think you don't need to store these excel files in Azure Data Lake.Azure Data Lake Storage Gen2 is a set of capabilities dedicated to big data analytics, built on Azure Blob storage. It's still a storage.
The more Azure resource you use, the more cost you need to pay.
If your excel file stored in you local computer, you can using Azure Data Factory to access these local files or with self host integration runtime.
Please reference： Copy data to or from a file system by using Azure Data Factory.
Hope this helps.
Your storage requirements are very minimal, so I would select Data Lake to store your documents. The alternative is Blob Storage, but I always prefer Data Lake because it works with Azure Active Directory.
In your scenario, drop it in the ADL, and use the ADL as the source in Azure Data Factory.
Edit:
Honestly, your original post is a little confusing. You have a RAW Excel document, you do some transformations on the RAW document, to generate an Excel Source document. This source document holds the final dataset that the dev team will use to build out SSRS reports. You need to make this dataset available to the teams so that they can connect to it to build the reports? My suggestion is to keep it simple and drop the final source dataset in Excel format, into blob or data lake storage and then ask the dev guys to pick it up from the location. If you are going the route of designing and maintaining a data pipeline (Blob > Data Factory > SQL, or CSV, TSV - then you are introducing unnecessary complications.
I'm trying to daily load a bunch of tables on Azure SQL DW using Azure Data Factory but I need some help converting DBF tables (to CSV would be nice) prior to loading them up. Can anyone indicate a good way to do this?
You can leverage the custom activity in ADF to covert the DBF files to CSV first. Here's the pointer on how to leverage the custom activity: https://azure.microsoft.com/en-us/documentation/articles/data-factory-use-custom-activities/ . After the CSV files are created use the copy activity in ADF to copy them to Azure SQL DW.
Thanks, Harish