🚀 HELLO Big Data Series:
Building an End-to-End Azure Data Pipeline (Part 1) - From Raw Data to Data Lake!
👋 Before we dive in - Smash that LIKE button, SUBSCRIBE, and hit the NOTIFICATION BELL to stay updated with more data engineering content!
📢 All project resources, code & interview questions available here:
https://github.com/mayank953/BigDataProjects/tree/main/Project-Brazillian%20Ecommerce
Hey Data Engineers! Ready to build something amazing? In this hands-on project, we're diving into creating a robust data pipeline using Azure services. Part 1 focuses on setting up our foundation and initial data flow!
🏗️ Project Architecture Overview:
- Complete E-commerce data pipeline implementation
- Azure-powered cloud architecture
- Real-world data handling techniques
- Industry-standard best practices
🎯 What You'll Learn in Part 1:
- Setting up Azure Data Factory from scratch
- Configuring ADLS Gen2 storage
- Understanding Medallion Architecture basics
- Implementing data ingestion from multiple sources
- HTTP endpoints (GitHub)
- SQL Tables
- Creating your first data pipeline
- Real-world implementation scenarios
- Performance optimization techniques
💡 Technical Skills Covered:
- Azure Data Factory configuration
- Data Lake storage setup
- Basic data ingestion patterns
- Raw data handling strategies
- Data pipeline orchestration
- Error handling & monitoring
⚙️ Prerequisites:
- Azure account setup
- Basic understanding of cloud services
- E-commerce dataset walkthrough
00:00 Project Introduction
00:50 Getting Started
02:34 Pre-requisite
08:34 Project Architecture
20:00 Azure Free Account
27:00 Azure Cloud
34:37 Olist Dataset
42:00 SQL DB & Data Ingestion
1:06:30 Role of Data Engineer
1:11:24 Resource & Resource Group
1:12:24 Azure Data Factory
1:31:00 ADLS storage account
1:41:00 Meddallion Architecture
1:46:23 Ingestion with ADF
2:00:46 Real Time Ingestion with ADF
2:26:49 Parametrized Ingestion ADF
2:42:00 Azure Databricks Creation
2:43:21 Databricks Overview
2:51:36 Databricks UI Overview
2:58:12 Compute and Notebook
3:00:00 MongoDB & Ingestion
3:08:10 Databricks Workflow
3:12:12 Datbricks to ADLS connection
3:25:12 Accessing data from Lake
3:30:02 Outro & Next Part
🔥 Perfect For:
- Aspiring Data Engineers
- Cloud Practitioners
- Big Data Enthusiasts
- Azure Cloud Learners
❓Have questions? Add timestamp in comments - I'll help you out!
🌐 Connect with Me:
LinkedIn: https://www.linkedin.com/in/mayank953/
Instagram: https://www.instagram.com/tech.mayankagg/
Medium: https://medium.com/@thecodingcookie
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