SQL Data Warehouse from Scratch | Full Hands-On Data Engineering Project

Published: 10 February 2025
on channel: Data with Baraa
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From Zero to SQL Data Warehouse Hero (From Scratch) A Full SQL Project Walkthrough and Real Industry Experience! You will learn how I Do real world Data Engineering Projects.

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⌚️ TIMESTAMPS
00:00 - Intro
01:27 - Types of SQL Projects
02:50 - What is Data Warehouse
09:41 - What is ETL
20:29 - Project Materials
23:14 - Project Plan Using Notion
30:54 - Analyzing Requirements
==============
34:10 - Design The Data Architecture
35:20 - Choose the Right Approach
40:43 - Design the Layers of DWH
47:37 - Draw the Architecture using Draw.io
==============
56:00 - Project Initialization
56:56 - Define Naming Conventions
01:03:26 - Prepare Your GIT Repository
01:07:54 - Create Database & Schemas
01:10:33 - Commit Code in Git Repo
==============
01:13:14 - Build Bronze Layer
01:14:36 - Analyze Source Systems
01:18:40 - Create DDL for Tables
01:24:21 - Develop SQL Load Scripts
01:32:18 - Create Stored Procedure
01:45:28 - Document: Data Flow
==============
01:50:31 - Build Silver Layer
01:52:08 - Explore & Understand The Data
02:03:05 - Create DDL for Tables
02:06:52 - Clean & Load crm_cust_info
02:22:03 - Clean & Load crm_prd_info
02:42:48 - Clean & Load crm_sales_details
02:59:38 - Clean & Load erp_cust_az12
03:08:38 - Clean & Load erp_loc_a101
03:14:16 - Clean & Load erp_px_cat_g1v2
03:18:38 - Create Stored Procedure
03:24:29 - Document: Data Flow
==============
03:28:09 - Build Gold Layer
03:29:39 - What is Data Modeling?
03:32:17 - Star Schema vs. Snowflake Schema
03:34:06 - Dimensions vs Facts
03:35:10 - Explore the Business Objects
03:39:04 - Create Dimension Customers
03:55:30 - Create Dimension Products
04:02:43 - Create Fact Sales
04:08:48 - Build The Star Schema Model
04:13:58 - Data Catalog
04:16:40 - Data Flow
==============
04:21:45 - End of Project

This project is perfect for data analysts, data engineers, data scientists, software developers, and students—covering everything from the basics to advanced SQL topics.
#sql #data #analytics #dataengineering #dataengineer


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