
Leverage T-SQL and SSMS to manage data across on-prem and cloud environments, from Azure SQL to Synapse pools, enabling querying, security, and performance tuning.
Learn to extract the top and bottom 20% of records based on sequential storage order using subqueries, unions, and order by in SQL.
Explore a practical SQL query to determine the third lowest salary per department, with fallbacks for small departments, using partition by department_id, row_number, and count.
identify top three earners in each department using rank with partition by department and descending salary, handling ties in single-table and inner join between employee and department details.
Identify employees who joined before their reporting managers using a self join on the employee table, comparing date of joining to reveal early joiners.
Learn offset rows and fetch next to pull specific records from the employees table, demonstrating ordering by employee id or salary to retrieve rows four through seven.
Explore how to check palindromes in SQL using variable declarations, case when logic, and reverse comparisons, then compare with a post-2012 function-based method and practical test outcomes.
Discover magic tables in SQL Server, virtual tables that hold temporal information about inserted and deleted data, with inserted storing before versions and deleted storing after versions.
Discover how common table expressions enable recursive queries, build a calendar table with a recursive cte, and manage recursion limits with the max recursion option in SQL Server.
Compute network days by counting working days between start and end dates, excluding weekends and holidays, using a holiday table and an interview calendar; demonstrates two SQL approaches.
Learn two SQL Server techniques to simulate limit: row_number with a subquery and offset fetch, shown using databases in SSMS.
Transform a csv style marks column by using string_split with cross apply, cast to int, and sum by student to compute total marks.
Explore how to replace distinct in SQL with group by, union, and intersect while clarifying the difference between distinct and unique, and see practical examples using sample data.
Strengthen your sql fundamentals by exploring inner, left, and right joins and mastering how null values affect join results across multiple tables.
Learn how computed columns in SQL Server derive values from expressions, and create tax collected as 5% of fees paid, using UI or SQL queries to persist or compute them.
Practice debugging SQL interview questions by fixing issues in a sample query, such as unnecessary distinct and invalid order by in subqueries, as shown with compiler orders.
Construct a SQL query to identify students who fail to clear 120 cutoff by grouping marks and using having sum(marks) < 120, joining with the student table to fetch names.
Be prudent when answering SQL interview questions by identifying repeated values with group by and having count(*) > 1, illustrating duplicates and counts with clear aliases.
Practice creating new tables from existing ones in SQL Server by copying data or just the schema, using where conditions and empty table creation.
Explore pivot and unpivot in SQL Server to transform data by converting rows to columns and back, using aggregation and the car and bike cost examples.
Explore metadata with the information schema in SQL Server to inspect table catalog, schema, name, type, and column details, and count rows to compare dev and production tables.
Compare two sql approaches to present each student's subjects as a comma separated list: for xml path concatenation vs. a string method grouped by student id and name.
Learn to identify employees living in the same city as their managers by joining employee tables with project manager data on project codes and comparing locations.
Extract the most recent address for each employee by applying max(date_of_update) in a subquery, enabling accurate address data to mail goodies.
Improve SQL performance with query optimization, indexing, execution plans, and buffer cache understanding to reduce latency and resource usage.
Explore how artificial intelligence enhances SQL through natural language processing, query optimization, and automation. Discover AI-powered analytics and personalization, with a focus on ChatGPT and Copilot for SQL.
This video talks about OpenAI ChatGPT and Microsoft Copilot!
This video is related to the setup of Github Copilot for SQL using Visual Studio Code.
This video talks about Github Copilot using Visual Studio code for SQL!
This video explains a few important points that you must consider before using AI tools for SQL development!
Solving a SQL problem and solving a SQL problem efficiently are two different things! In this section, we will discuss few best practices which can be followed to not only gain the confidence of interviewer but also do well while working in real projects!
Compare subqueries and joins to see two methods reach same result with different performance. Benchmark exist, in, and join; test statistics io and memory grants; adopt a two solution mindset.
Avoid panicking or guessing; test in a sandbox, explain your reasoning, avoid unnecessary index hints or overcomplication, and prioritize clarity, proper data types, and edge-case handling in SQL interviews.
Learn how SQL spans data engineering, analytics, BI, and software development, and the companion skills recruiters demand from Excel, Python, and Power BI to cloud platforms and data warehousing.
Master sql fundamentals through a complete bootcamp, from zero to hero, backed by a 150+ page pdf and practice with business-focused interview scenarios for 2025.
Explore 200+ SQL interview questions with a focus on theory and business scenarios for 2025, and download the PDF to practice and prepare effectively.
For Udemy's roleplay, we have used Chat option, but you can opt for Microphone too!
Learn to import data from Excel or CSV into SQL Server, create a table for the inserted data, and run a query to view the results.
Download the compiler sql interview questions database to practice T-SQL queries on your sql server and follow backup and restore steps using sql server 2019.
This course is designed for both freshers and experienced professionals preparing for SQL job interviews. It focuses on practical, real-world SQL interview questions that reflect what companies are actually asking today. Whether you're applying for roles in data analytics, data engineering, full-stack development, or software testing, this course will help you build the confidence and skills you need to succeed.
You’ll work with Microsoft SQL Server and use SQL Server Management Studio (SSMS) to write and run T-SQL queries. Topics include commonly asked concepts such as Joins (Inner, Left), Common Table Expressions (CTEs), Subqueries, DISTINCT, TOP, PIVOT and UNPIVOT, Stored Procedures, and more—each explained using realistic business use cases.
In addition, this course includes a dedicated section on using Artificial Intelligence tools like ChatGPT, GitHub Copilot, and Microsoft Copilot to accelerate SQL query development. You'll learn how to integrate these tools into your workflow to write cleaner, faster code, and stand out in technical interviews.
Whether you are learning SQL for the first time or brushing up for interviews, this course offers hands-on guidance to help you solve questions with clarity and confidence. It is particularly useful for candidates preparing for job interviews in 2025 and beyond.
Enroll now to start solving SQL interview questions the smart way through hands-on practice and expert instruction!