How to Use SQL PIVOT Function in SQL Server for Data Transformation

📌 SQL NTILE Function Explained With Practical Examples NTILE in SQL transforms raw lists into structured distributions before they reach a dashboard. By pushing distribution logic upstream, it divides ordered rows at the query level, so the insights in Power BI, Tableau, or Excel are accurate, not just polished visuals. 🔗 This guide explores its syntax, practical examples, and comparisons with other ranking functions: https://lnkd.in/eZBffW7w It also highlights how database IDEs, like dbForge Edge, bring NTILE insights directly into analysis and reporting workflows. Ready to put NTILE into practice? ✅ Download a 30-day free trial of AI-powered dbForge Edge: https://lnkd.in/dzRKBi9T    Such features as visual SQL editor, data grid, and reporting let you design NTILE queries quickly, inspect tile assignments interactively, and push results into BI workflows without friction. #dbForge #Devart #dbForgeEdge #dbForgeTools #SQLTools #SQLManagement #SQLDevelopment #DBA #DatabaseManagement #DatabaseTools 

This video explains how to use the SELECT statement in T-SQL along with essential SQL clauses like WHERE, GROUP BY, ORDER BY, and HAVING. This beginner-friendly tutorial explains the purpose of each clause and walks through a SELECT query example using T-SQL in SQL Server Management Studio.  #TSQL #SQLServer #SelectStatement #SQLQuery #TSQLTutorial #SQLBasics #LearnSQL #DatabaseQuery #SQLClauses #GroupBy #OrderBy #WhereClause #HavingClause #SQLTraining #MicrosoftSQLServer #DataQuerying #TechTutorial #SQLForBeginners #DataAnalytics 

My latest blog post is titled "Create a SQL Server 2025 SSIS Catalog Using SSMS v22" and is available at the link in the comments. #ssis #catalog #sqlserver2025 #ssmsv22 

🎓 Episode 7 of the SQL Basics Series In this session, I explain two important SQL commands: GROUP BY and HAVING. These are essential for data summarization and filtering grouped results. 📘 What you’ll learn: ✅ GROUP BY explained ✅ HAVING with aggregate functions ✅ WHERE vs HAVING difference ✅ Practical examples using a Students table ✅ Real use cases in simple language This tutorial is beginner-friendly and easy to follow. 📺 Watch the episode here: https://lnkd.in/gNKr395T 👍 Like & Comment to support the series!

SQL Group By vs Window Functions: The ONE Difference That Matters Dive into the essentials of SQL aggregation with this in-depth tutorial comparing GROUP BY and Window Functions. We start in SQL Server Management Studio (SSMS), connecting to an SQL server and selecting a target database and table—previewing data using SELECT TOP 1000 ROWS for large datasets before ultimately viewing the entire table. The core lesson centers on how both functions aggregate data but differ significantly in output: GROUP BY collapses rows to provide a single summary result per group (e.g., total profit per branch, reducing 48 rows to 4), while Window Functions display the entire detailed dataset while adding the aggregate result (e.g., total profit per branch) to every relevant row. The practical demonstration highlights this difference. We use GROUP BY to summarize branch-wise profit, which concisely displays only the aggregated results. In contrast, we use a Window Function with PARTITION BY branch to calculate the same total profit but include it as a new column alongside all original detailed rows. This latter approach is crucial for calculations like determining the percentage of profit for each individual transaction against its branch's total profit. The video concludes by emphasizing the fundamental use case for each: use GROUP BY for a single summary row per group and Window Functions when you need a group aggregate displayed on every row of the detailed data. More on Window Functions: https://lnkd.in/eqfUVdDe #SQL #SQLServer #GROUPBY #WindowFunctions #SQLTutorial #DataAggregation #DatabaseLearning #SSMS https://lnkd.in/efhwM4V6

Random SQL tip of the day, that today’s development task reminded me of (and saved me hours!) If you need to set the maximum value for a counter in a while loop, then do it as a constant instead of a derived query value. The performance is orders of magnitude better, especially on large result sets! For example, don’t do: WHILE @count <= (SELECT COUNT(*) FROM Table) BEGIN …etc Instead, do: - - (SELECT COUNT(*) FROM Table) - - => result eg 95000 WHILE @count <= 95000 BEGIN …etc #sqlserver #tsql #mssql #dba

SQL: Mastering the Select Command for Begginers https://lnkd.in/eBg8xRXB Dive into the most crucial SQL command with this comprehensive tutorial on the SELECT statement, the powerhouse of data extraction from SQL Server databases. You'll start by setting up your environment with the free SQL Server Express and SSMS, then move quickly into foundational queries. Learn to create tables (CREATE TABLE) and populate them (INSERT) before mastering the basics of SELECT * to view all data. Crucially, discover why it's best practice to move beyond the wildcard (*) and instead select specific columns to optimize server performance and limit unnecessary load. This guide ensures you build a strong foundation, making your data retrieval both accurate and efficient. Advance your SQL skills by learning to filter, sort, and summarize your data effectively. This tutorial provides a deep dive into the WHERE clause to limit rows based on single or multiple conditions (e.g., filtering employees by department and salary). You'll master the ORDER BY clause to sort results in ascending or descending order across one or more columns, giving structure to your output. Furthermore, unlock the power of aggregate functions like COUNT, SUM, and AVG, and learn to apply them using GROUP BY to get per-department summaries. Finally, understand the difference between WHERE and HAVING, using the latter to filter results based on aggregated values, and utilize the TOP keyword (or LIMIT) to easily extract the highest or lowest records. #SQL #SelectCommand #SQLServer #SQLTutorial #DatabaseManagement #DataExtraction #SQLQuery #LearnSQL #T-SQL #SSMS

It’s been a while since I shared, but I wanted to highlight a video series that really helped me understand one of the most challenging SQL topics - Window Functions. ✨ These functions are incredibly powerful, but not always easy to grasp, both conceptually and in practice. ✨ The @DataWithBaraa YouTube channel is an amazing resource for learning just that (and much more!). ✨ I’ve watched many videos on this topic, but these were by far the clearest and most helpful explanations I’ve come across. ✨ If you’re trying to strengthen your SQL skills, I highly recommend checking it out. It can make those tricky concepts finally click. https://lnkd.in/gZJPdSTd Baraa Khatib Salkini #SQL #DataAnalytics #DataAnalyst #DataWithBaraa #LearningJourney #WindowFunctions #SQLTips