🧠 What You’ll Learn
In this module, you'll get a clear understanding of:
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What Data Engineering is
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Why it matters in modern businesses
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Key tools & technologies (Azure Synapse, Power BI, Snowflake, dbt, etc.)
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Real-world use cases
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What you'll build in this course
🔍 What is Data Engineering?
Data Engineering is the practice of designing, building, and maintaining systems that collect, process, and store data for analysis. Think of it as the plumbing that brings clean, usable data to decision-makers, dashboards, and data scientists.
🧱 Key Responsibilities of a Data Engineer
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Build ETL/ELT pipelines (Extract, Transform, Load)
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Create and manage data warehouses and data lakes
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Ensure data quality, governance, and security
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Optimize for performance and cost
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Work with tools like SQL, Python, Spark, Azure, Snowflake
🚀 Why is Data Engineering So Important in 2025?
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The explosion of data from apps, IoT, AI, and automation
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Demand for real-time decision-making
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Every business wants insights, and they need clean, fast data
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Power BI, Tableau, and AI tools are only as good as the data behind them
🛠️ Popular Data Engineering Tools You’ll Learn in This Course
| Tool | Purpose |
|---|---|
| Azure Synapse | Cloud-based data integration + analytics |
| Power BI | Data visualization and reporting |
| Azure Data Factory | Visual ETL pipeline builder |
| Snowflake | Scalable cloud data warehouse |
| dbt | SQL-based data transformation |
| ChatGPT / Copilot | Boost productivity using AI for SQL, scripts, logic |
🗺️ Real-World Use Case (Preview of Course Project)
Imagine you work for a retail company. You need to:
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Collect daily sales from multiple sources
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Clean and transform that data
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Store it in a centralized data warehouse
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Visualize KPIs in Power BI
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Automate it all to run daily
That’s what we’ll build, step by step.
🔄 What You’ll Build in This Course
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Create an Azure Synapse workspace
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Build ETL pipelines using Synapse + ADF
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Connect Power BI to your Synapse dataset
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Use DAX to build KPIs like revenue, profit, and ranking
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Optimize Snowflake queries
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Use ChatGPT to accelerate development
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Deliver a final dashboard with automated pipelines
🎯 Who Is This For?
This course is for:
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Aspiring Data Engineers
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Power BI Developers who want backend skills
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SQL professionals looking to enter the cloud space
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Anyone who wants a structured way to learn modern BI
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