🚀 HELLO Big Data Series: Building an End-to-End Azure Data Pipeline (Part 2) - Transform & Visualize!
👋 If you haven't already - Hit that LIKE button, SUBSCRIBE, and turn on NOTIFICATIONS to join our data engineering journey!
📢 Access complete project resources, code & interview questions:
https://github.com/mayank953/BigDataProjects/tree/main/Project-Brazillian%20Ecommerce
Hey Data Warriors! Ready to level up? In Part 2, we're transforming our raw data into valuable insights using advanced Azure services!
🏗️ What We're Building:
- Complete data transformation pipeline
- Advanced data processing with Azure Databricks
- Integration with Azure Synapse
- Professional visualization setup
- Production-ready architecture
🎯 What You'll Learn in Part 2:
- Azure Databricks implementation
- Data transformation techniques
- MongoDB integration for data enrichment
- Synapse Analytics setup
- Visualization with Power BI/Tableau/Fabric
- Performance optimization
- Best practices for production
💡 Technical Deep Dive:
- Advanced data transformation patterns
- Data enrichment strategies
- Synapse Analytics configuration
- Visualization best practices
- End-to-end pipeline testing
- Monitoring and maintenance
⚡ Key Features:
- Real-time data processing
- Scalable architecture
- Production-ready setup
- Industry-standard practices
00:00 Intro & Revision
02:51 Data Enrichment
05:04 Databricks data access
10:40 Read Data in Databricks
16:40 Spark Tranformation
18:43 MongoDB Data for Enrichment
27:15 Data Cleaning
35:21 Insight from Data
40:24 Spark Transformation vs Action
43:40 Data Joining
53:40 Enriching Data via MongoDB
58:50 Visualization with Databricks
1:05:20 Export Data to Silver Layer
1:16:20 Azure Synapse Overview + Creation
1:28:05 Synapse UI overview
1:40:37 Synapse to Lake Access
1:47:20 SQL pool - Dedicated vs Serverless
1:50:20 Access Lake Data
1:58:24 Create Gold View & schems
2:00:00 Synapse Workflow
2:03:05 CETAS understanding
2:14:20 Create External Serving Table in Gold
2:18:15 Congratulations on Great Project
2:19:22 Visualization Flow
2:22:05 Outro & Thank You :)
🎓 Who Should Watch:
- Data Engineers
- BI Developers
- Analytics Professionals
- Azure Practitioners
❓Questions? Add timestamp in comments - I'm here to help!
🌐 Connect with Me:
LinkedIn: https://www.linkedin.com/in/mayank953/
Instagram: https://www.instagram.com/tech.mayankagg/
Medium: https://medium.com/@thecodingcookie
#HelloBigData #AzureCloud #DataEngineering #Databricks #Synapse #PowerBI #DataTransformation #BigData #Analytics #AzureDatabricks #AzureSynapse #PowerBIAnalytics #Tableau #FabricBI #MongoDB #DataVisualization #BusinessIntelligence #DataAnalytics #CloudAnalytics #DataModeling #ETLPipeline #DataPipeline #DataWarehouse #DataLake #CloudComputing #DataScience #DataArchitecture #AzureServices #DataOps #CloudArchitecture #DataPlatform #TechTutorial #DataEngineering #bigdataanalytics