SQL : Users With Multiple Loan Types

Video 42: In this tutorial, we delve into handling multiple conditions within aggregate functions. Within our dataset, we aim to identify users holding various loan types. We've approached this challenge through diverse methods, starting from fundamental SQL techniques, refining them, and concluding with a straightforward implementation using GROUP BY and HAVING clauses. Additionally, we've touched upon best practices, cautioning against improper use of SQL and illustrating the functionality of the WHERE condition. The different approaches we explored include: 1. Multiple Subquery Approach: Utilizing separate subqueries for each loan type condition, we join the results to acquire the solution. 2. CTE Table Strategy: Leveraging a Common Table Expression (CTE), we filter users with multiple loan types, subsequently refining this set to identify users with exactly two loan types. 3. Utilizing Multiple HAVING Clauses: Employing aggregate functions, we group users by loan type and apply filters to ensure the presence of both loan types for user identification. 4. Simple Aggregation with HAVING Clause Filter: Simplifying the approach, we aggregate user data, filter for the specific loan types, and use a HAVING clause to identify users with exactly two loan types. For detailed SQL code and supplementary sample data, please refer to the GitHub file provided below. code: https://github.com/jeganpillai/sql_reference/blob/main/v0021_users_with_multiple_loan_types.sql Follow me on, Website : https://growwithdata.co/ YouTube : https://www.youtube.com/@growwithdata TikTok : https://www.tiktok.com/@growwithdata LinkedIn : https://www.linkedin.com/company/growwithdata/ Facebook : https://www.facebook.com/growwithdata.co/ twitter : https://twitter.com/growwithdata_co Instagram : https://www.instagram.com/growwithdata.co/ WhatsApp : https://whatsapp.com/channel/0029VaF8pkb77qVNfbp5pA0S #sql #dataengineers #tablejoins #ceil #floor #bucket #meta #google #facebook #apple #paypal #netflix #amazon #deinterview #sqlinterview #interviewquestions #leetcode #faang #maanga #mysql #oracle #dbms #query #sqlserver #mysql #coderpad #aggregates #aggregation #nonaggregation #database #placementpreparation #lead #lag #windowsfunction #nullcheck #coalesce #sqlperformance #ifnull #case