Option1: Copy excels files to Azure Storage and then mount the storage account to Azure Databricks and read from storage account. You may checkout the SO thread addressing: Reading Excel file from Azure Databr
In this method, you can convert your Oracle data to a CSV file using SQL plus and then transform it according to the compatibility. You then can stage the files in S3 and ultimately load them into Snowflake using the COPY command. This method can be time taking and can lead to data in...
It highlights their advanced features, comparison with Databricks SQL dashboards, and dataset optimizations for better performance, including handling various dataset sizes and query efficiency. 🌀 Use grouping and binning in Power BI Desktop: This article explains how to use grouping and binning in...
You can access your data in OneLake through any API, SDK, or tool compatible with ADLS Gen2 just by using a OneLake URI instead. You can upload data to a lakehouse through Azure Storage Explorer, or read a delta table through a shortcut from Azure Databricks....
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Package your application into a JAR file. Upload the JAR file to an S3 bucket. Create a Kinesis Data Analytics application in the AWS Management Console. Configure the application to use the uploaded JAR file. Start the application. Monitoring and Scaling ...
If you choose to copy and upload a backup file to the Windows Azure Blob storage service, use page blob as your storage option. Restores from Block Blobs are not supported. RESTORE from a block blob type fails with an error. Of course the blob I was granted access to was in Bl...
Option1: Copy excels files to Azure Storage and then mount the storage account to Azure Databricks and read from storage account. You may checkout the SO thread addressing: Reading Excel file from Azure Databricks. Option2: I found a third party articles which explains - Process...