The Definitive Guide to Data Warehousing: From ERP Replicas to Cloud-Native Models
1. Why are Legacy Databases unsuited for modern reporting? Ever wonder why it’s so hard to get a straight answer […]
SQL
Databricks & PySpark Essentials for Data Engineering Interviews
Ace Your Data Engineer Interview: Databricks & PySpark Deep Dive A Practical Deep Dive into Databricks & PySpark Preparing for
Mastering Cumulative Revenue in SQL: Your Complete Interview Guide
Mastering Cumulative Revenue in SQL: Your Interview Guide Calculating a cumulative sum, or a “running total,” is one of the
The Definitive Guide to Handling Duplicates in PostgreSQL
The Definitive Guide to Handling Duplicates in PostgreSQL A complete guide to detecting, removing, and preventing duplicate data with real-world
The Data Engineer’s Definitive SQL Interview Playbook
The Data Engineer’s Definitive SQL Interview Playbook (Comprehensive Edition) This guide is a comprehensive deep dive into the SQL questions
Addressing Challenges of Semicolon-Delimited Fields in Legacy Tables
Are spare tables and fields causing confusion and inefficiency in your organization’s database management? Are they causing problems during the
Mastering Date and Time Functions in PostgreSQL: A Practical Guide with 12 Examples
Ever wondered how Postgres handles date and time? In this practical guide, we explore 12 examples using a table named
SQL Window Function – Difference between Rank() Dense_Rank() and Row_Number()
Rank(): Dense_Rank() Row_Number() Showing Difference between Rank, Dense Rank , and Row Number in a single view: Partition By Clause:
Leetcode DSA Problem solving using SQL – Travel Data of Customer
Last week I found an interesting SQL problem posted by Ankit Bansal on LinkedIn, and my solution to the problem
SQL Problem asked in FinTech – Trade & Stock
Question:Write a SQL to find trade couples satisfying the following conditions for each stock:– The trades should be within 10