In today’s data-driven business landscape, organizations generate and collect massive volumes of information from countless sources. The ability to efficiently […]
🔥 10 SQL Practice Questions to Become a SQL Pro 📚 Understanding the HR Database Schema This schema represents a
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How to rank in SQL
In this blog, we will understand how to rank in SQL your data. We will first understand what is SQL rank function then dense_rank SQL. Then also understand row number SQL. We will first create SQL table and then insert our data to understand these three functions in SQL i.e. rank function SQL, oracle dense_rank, oracle row_number.
How to use row_number in SQL | SQL RANK() function | dense_rank SQL Read More »
INDEX in SQL
Index in SQL is the most powerful and useful aspect of SQL. It helps in improving the performance of database queries and provides direct and fast access to database rows. The users can’t see indexes they are just used to speed up searches and queries.
Index in SQL | What is Index in SQL | How to create Index in SQL Read More »
oracle case statement
The SQL CASE statement is a logical statement that helps in putting values based on logical arguments. The CASE statement goes through conditions and returns a value when the first condition is met. So, once a condition is true, it will stop reading and return the result. If no conditions are true, it returns the value in the ELSE clause. If no conditions meet the criteria then NULL value will return.
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What is View in SQL
View in SQL is a virtual table that is basically a SQL dynamic table. It is created by SQL query and used for quick reference as carrying a long query in SQL is difficult, so we store it in the view as per our comfort.
What is View in SQL || 2 ways to create view SQL Read More »
Group by SQL function
Group by in SQL is a function by which we are grouping column values against record groups. It helps in aggregating columns data and getting summary of values. Group by SQL function is a very useful and frequently used SQL function.
The GROUP BY clause groups records into summary rows.
GROUP BY returns one record for each group.
GROUP BY is used with aggregates like COUNT, MAX, SUM, SUM and AVERAGE.
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