WebApr 11, 2024 · In this post, I will take you through the Azure data factory real-time scenario and Azure databricks interview questions answers for experienced Azure data factory developer. 1 Question 1 : Assume that you are a data engineer for company ABC The company wanted to do cloud migration from their on-premises to Microsoft Azure cloud. WebNov 26, 2024 · To achieve this I've used a lookup activity to insert the data by passing the insert statement through a query. INSERT INTO audit_table(table_name, rows_copied) VALUES ('@{item().name}',@{activity('Copy data1').output.rowsCopied}); When I ran the pipeline it is writing the data to the table, but the lookup activity is failing with the error
Slow Azure Data Factory Pipeline - Stack Overflow
WebFeb 8, 2024 · You granted permission to your data factory in SharePoint Online List, but you still fail with the following error message: Failed to get metadata of odata service, please check if service url and credential is correct and your … WebMar 25, 2024 · Maintenance troubleshooting is the process of identifying what is wrong with these faulty components and systems when the problem is not immediately obvious. … pasti scuola detraibili
Troubleshoot the SharePoint Online list connector in Azure Data Factory …
WebFeb 7, 2024 · Troubleshooting tools, such as Fonedog Toolkit, are third party systems that can help to solve mobile data issues and restore iOS systems back to its working state, among many other functions. Here is a step-by-step guide to downloading and making use of the Fonedog Toolkit: Download and install Fonedog Toolkit 1. WebMar 25, 2024 · The following are just a few ways your operation can improve its troubleshooting techniques to conquer chaos and take control of its maintenance. 1. Quantify asset performance and understand how to use the results It probably goes without saying, but the more deeply you know an asset, the better equipped you’ll be to diagnose a … WebMay 2, 2024 · For fastest performance, the Storage, Data Factory, and Synapse resources should all be in the same data center. Source and Sink partitioning CAN help with very large data sets and complex scenarios, but is a fairly tricky topic and (most likely) would not help in your scenario. お金の単位 複数形