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Data Warehousing Study Guide

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Study modern and traditional data warehouses, data sources, warehouse architecture, structured and unstructured data, batch versus real-time processing, and business intelligence reporting.

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Cloud Computing Study Guide - 02




Study Guide
Beginner → Exam Ready

By Levi J.
2026 Edition




Data Warehousing


What is a Data Warehouse?
A data warehouse is a central place where data from different sources is stored and organized for reporting,
analysis, and decision making.


Examples of Data Sources
Sales systems

Inventory systems

Websites

Mobile Apps


A Data Warehouse is Used To:
Create reports

Identify trends and problems

Support business decisions



Important Flow
Data → Knowledge → Informed Decisions




Page 1 of 8

, Cloud Computing Study Guide - 02




Traditional vs Modern Data Warehouses

Traditional Data Warehouse
A traditional data warehouse is usually on-premise, meaning the company owns and manages its own
servers.

Characteristics:

Expensive hardware

Takes long to setup

Company manages everything


Modern Data Warehouse
A modern data warehouse is usually cloud-based, meaning it runs on cloud platforms like AWS or Azure.

Characteristics:

Scalable

Pay-as-you-go pricing

Faster to deploy

Cloud provider manages infrastructure

Supports both batch and real-time processing

Structured, semi-structured, and unstructured data




Characteristics of a Data Warehouse

1. Subject-Oriented
Organized by business areas such as:

Sales

Customers

Products

Finance




Page 2 of 8

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Subjects

  • data warehouse
  • data lake
  • structured data
  • batch processing
  • real time data
  • business intelligence

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