You no longer have to worry about how to paste clause in raw. Our powerful solution guarantees straightforward and quick document management, allowing you to work on raw documents in a few moments instead of hours or days. Our service contains all the features you need: merging, inserting fillable fields, approving documents legally, placing signs, and so on. You don't need to install extra software or bother with high-priced applications requiring a powerful device. With only two clicks in your browser, you can access everything you need.
Start now and manage all various types of files professionally!
hello and welcome back to the part two of the video on converting the data from rows into columns so in part one we discussed how we can use the case statement for achieving this objective and now weamp;#39;re going to discuss the separate function that we have in SQL which is the pivot function so letamp;#39;s get started so again we are using the same data from the EMP table or the employee data and we have three dis columns as you can see here name value and ID and we want to create distinct columns in our output and each column should be should have the name of any of these field values which is name gender and salary so we are going to use the pivot function for this solution okay so the first step is to select the data from your Source table which you need for pivoting or converting from rows two columns so we want all these columns we need the ID in our output we want to uh take the name field values as a column name so name we want and we also want the value column because th
