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Learn Excel from a Excel Hi Friends!! I am preparing an Excel file which contains a list of all functions available in MS Excel with their description, syntax and an example. It will help to become an Expert on Excel. The file is expected to get ready soon. And will share a few screenshots for your review. The file will be available only for Rs 100. If anyone is interested then please let me know. Thank you 👍😊

GM Friends!! Now I am available as a full time online trainer and interested to provide the training on web technologies like .NET Javascript, jQuery SQL Angular js React js And many more to be added. Kindly let me know, if anyone is interested in gaining knowledge. Training details like timing, charges will be shared separately. Appreciate your time and support. Thank you 😊🙏

🚀 Excited to share some SQL insights! 🚀 Ever wondered about ranking rows in your SQL queries? 🤔 Here are three powerful functions that can give you a competitive edge in data analysis: RANK(): Gives you the rank of the current row within its partition, with gaps. Perfect when you want to know the position without worrying about ties. DENSE_RANK(): Similar to RANK(), but without gaps. If you prefer consecutive ranks without missing numbers, this one's for you. PERCENT_RANK(): Provides a percentage rank value, always between 0 and 1. Ideal for understanding the relative position of a row within a partition. Mastering these functions can enhance your data analysis skills and make you stand out in the competitive world of SQL! 💡✨

Creating a recommended architecture for web development involves considering factors such as scalability, performance, maintainability, and security. List out the high-level overview of a modern web development architecture along with recommended technologies.

Database Schema: Customers Table: CustomerID (PK), CustomerName, Email Orders Table: OrderID (PK), CustomerID (FK), OrderDate, TotalAmount Products Table: ProductID (PK), ProductName, Price Scenario: Retrieve a list of customers who have made more than two purchases, and the total amount spent in each purchase is greater than $500. Include the customer's name, email, and the count of their high-value purchases.

Let's consider a scenario where we have a database with two tables: Orders and OrderDetails. The objective is to retrieve the total revenue generated by each product category, along with the average quantity sold and the count of unique customers who purchased from each category. The query can involves joins, aggregation, and subqueries.