LinkedIn Interview Question | SQL Interview Question no 18 | Daily SQL Practice | Advanced SQL

In this video, we demonstrated the query where we performed pivot operator and case statement in different queries.
The PIVOT operator in SQL Server is a powerful tool for transforming rows into columns, making data analysis more accessible and insightful. Often used in reporting, the PIVOT function enables you to reorganize and summarize data by aggregating values across a specified set of columns. By converting data rows into a more readable, table-like format, PIVOT is invaluable for creating cross-tab reports and enhancing SQL queries. For instance, you can efficiently group and compare data points—such as sales by region or scores by category—using a single SQL query. This functionality especially benefits data analysts and developers working with complex datasets. Optimize your data presentation with SQL Server’s PIVOT for clearer insights and more organized results.
.
.
.
.
.
#SQL #SQLInterviewQuestions #LearnSQL #DataAnalysis #SQLQuery #InterviewTips #Database #programming #SQLInterviewQuestions
#SQLQuestionsAndAnswers
#SQLInterviewPrep
#SQLQueries
#SQLForBeginners
#SQLTips
#SQLTutorial
#SQLDeveloper
#DatabaseInterview
#SQLSkills
#SQLJobInterview
#TechInterviewPrep
#DataEngineer
#SQLProgramming
#LearnSQL
#SQLQueryExamples
#SQLAdvanced
#SQLInterviewGuide
#TechInterviews
#SQLAndDatabase
.
.
.
-----------------------Create Table Script---------------------------
create table employee(id int, first_name varchar(50), last_name varchar(50), salary int, department_id int)

insert into employee values (10306 , 'Ashley' , 'Li' , 28516 , 4)
insert into employee values (10307 , 'Joseph' , 'Solomon' , 19945 , 1)
insert into employee values ( 10311 , 'Melissa' , 'Holmes' , 33575 , 1)
insert into employee values (10316 , 'Beth' , 'Torres' , 34902 , 1)
insert into employee values (10317 , 'Pamela' ,'Rodriguez' , 48187 , 4)
insert into employee values (10320 , 'Gregory' , 'Cook', 22681 , 4)
insert into employee values (10324 , 'William' , 'Brewer' , 15947 , 1)
insert into employee values (10329 , 'Christopher' , 'Ramos' , 37710 , 4)
insert into employee values (10333 , 'Jennifer' , 'Blankenship' ,13433 , 4)
insert into employee values (10339 , 'Robert' , 'Mills' , 13188 , 1)

create table department (id int, department varchar(50))
insert into department values ( 1 , 'engineering')
insert into department values ( 2 , 'human resource')
insert into department values (3 , 'operation')
insert into department values (4 , 'marketing')