WebMar 14, 2024 · Most effecient way to identify duplicates in data? We're moving data analytics towards Kusto and one feature we would like to have is to sanity-check our data and find duplicates of data in a dataset. The problem I want to solve is to make sure we don't accidentally ingest duplicates and then report too high sales numers. WebNov 30, 2024 · Therefore I'm trying to find a way to remove duplicates on a column but retain the rest of the columns in the output / or a defined set of columns. Though after dodging distinct on a specific column only this is retained in the output. This is my query:
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WebFind the best open-source package for your project with Snyk Open Source Advisor. Explore over 1 million open source packages. Learn more about azure-kusto-ingest: package health score, popularity, security, maintenance, versions and more. azure-kusto-ingest - npm Package Health Analysis Snyk npm npmPyPIGoDocker Magnify icon All Packages WebOct 21, 2024 · I need to remove the duplicate values of step names within each Session_ID. For example in ID = 200, there are three '1's which need to be changed to one '1', so the final data looks like : Category Session_ID Step_Name A 100 1 A 100 2 A 200 1 A 200 2 B 300 1 azure distinct-values azure-data-explorer kql Share Improve this question … sichuan street food
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WebJun 3, 2024 · 1 Save the Kusto query result into a temp table and then do a swap.. azure-data-explorer Share Improve this question Follow edited Jul 13, 2024 at 16:43 asked Jun 3, 2024 at 22:13 Swasti 167 5 19 Add a comment 1 Answer Sorted by: 3 you could look into using .set-or-replace (or a combination of .set-or-append and .rename tables) WebMar 14, 2024 · Most effecient way to identify duplicates in data? We're moving data analytics towards Kusto and one feature we would like to have is to sanity-check our … WebAdd records to a table by using an append query - Microsoft Support. Learn how to use an append query in Access to add data to an existing table. Access,Access,Access,Access. … sichuan stratford