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SQL Server script Error: Insufficient result space to convert uniqueidentifier value to char.

Error:    G etting below error while trying to copy data from one table to another: Msg 8170, Level 16, State 2, Line 1004  Insufficient result space to convert uniqueidentifier value to char.   Fix: UserID column which would be having Unique identifier data require more space (36 character). Size is specified as 15 here. To fix it just specify 36 as varchar length or specify Uniqueidentifier as data type for UserID  column.

While executing Select query to pull data from a different server, SQL Server is showing following error:

Msg 7202, Level 11, State 2, Line 1 Could not find server 'LAPTOP-09O6NE3K\SQLEXPRESS03' in sys.servers. Verify that the correct server name was specified. If necessary, execute the stored procedure sp_addlinkedserver to add the server to sys.servers. Completion time: 2024-02-05T17:18:24.6869756+05:30 Solution: Step1:  Check if the server is available in the sys.servers table SELECT name from sys.servers Step2:  If no, add the new server to the sys.servers table EXEC sp_addlinkedserver @server = 'server name' Eg" EXEC sp_addlinkedserver @server = 'LAPTOP-09O6NE3K\SQLEXP RESS03' Step3:  Recheck if the new server name is added to the sys.servers table. If yes, try then rerunning the select query which throwed the error. Now it should pull data from the table in the new server successfully.    
Top 10 essential SQL skills for data analysts, data engineers, and data scientists Photo by  Carlos Muza  on  Unsplash It doesn’t matter how good you are at creating visualizations, extracting insights, or building complicated models; you need data in order to do those things. SQL enters the picture when it comes to extracting data from the database in order to work with it. Mastering the commonly used SQL concepts is essential to work effectively as a data analyst, data engineer, and data scientist in today's world.  The following are the top 10 skills for mastering SQL: 1. Knowing SQL Fundamentals:  Understanding the following keywords is essential to write common DML queries: SELECT, FROM, WHERE, GROUP BY, HAVING, ORDER BY, WINDOW\RANK FUNCTIONS. 2. Understanding different real-world scenarios:  Analyzing and understanding multiple domains and how to use SQL, like writing complex queries, manipulating data, pulling reports, and identifying patterns and t...