Data Warehousing & Multi-tier Architecture

  1. Python-"The Chill All-Rounder Friend" -Super approachable — talks to beginners and pros with the same energy -Can do anything: build apps, automate tasks,  AI models & chill. -Always calm even when the world is burning. -The world runs after this person. -'Let’s keep it simple — but powerful',type of attitude. -Write less, do more — that’s the mantra. -gets along with everyone — developers, data scientists, students, your neighbor’s cat. -Ethics: Indentation. Snippet: Python walks in wearing a hoodie ,sips coffee Python: "Dude,Relax. There's a library for that." 2. Java-"The Serious Corporate Professional" -Always dresses formally, even on video calls. -Talks formally even with friends and family. -Speaks in full sentences (no shortcuts). -Obsessed with proper structure, big projects, and enterprise . - reason why your banking app and favorite game work 24/7. -Insists on Security, performance & scalability. Snippet: A problem arise...

Introduction ·         A data warehouse is like a big storage house where information is kept so that people can use it to make better decisions. This information comes from different places.       The warehouse is a central place where all this data is organized and can be easily analyzed.       Databases  and data warehouses are related but not the same.  ·          In software engineering ,  multitier architecture  (often referred to as  n -tier architecture ) is a  client–server architecture  in which presentation, application processing and data management  functions are physically separated. ·         It transforms into a format that can be accessed and analyzed. To ensure the efficient functioning of a data warehouse, it must have a multi-tier architecture . Goals of data warehousing: 1. To help report...