Azure Databricks Part 1| Class 6 | End-to-End Practical | Blob Storage to SQL Database
Azure Databricks Class 6 – End-to-End Practical Implementation
In today’s Class 6 session, we explored Azure Databricks and implemented a complete hands-on practical project using Spark and Notebook concepts.
✅ Azure Databricks Basics
✅ Apache Spark Concepts
✅ Cluster Creation & Configuration
✅ Notebook Development
✅ Data Transformation using PySpark
✅ Load Data from Azure Blob Storage to SQL Database
📌 Practical Scenario Covered:
We performed an end-to-end data transformation process on Hospital CSV data stored in Azure Blob Storage and loaded the transformed data into an existing SQL Database table using Azure Databricks.
🔹 Topics Covered in Detail:
✅ Azure Databricks Fundamentals
Introduction to Azure Databricks
Workspace overview
Real-world use cases
✅ Apache Spark Concepts
What is Spark
Distributed data processing
Spark architecture basics
PySpark introduction
✅ Cluster
Creating Databricks Cluster
Cluster configuration basics
Compute management
✅ Notebook
Creating and managing notebooks
Writing PySpark code
Running transformation logic
Data preview & validation
✅ End-to-End Data Transformation
Reading CSV data from Azure Blob Storage
Transforming Hospital dataset using PySpark
Data cleansing & transformation
Writing transformed data into SQL Database table
🎯 This session is useful for:
Azure Data Engineers
ETL Developers
Big Data Professionals
SQL Developers
Beginners learning Azure Databricks & Spark
📌 Key Learnings:
✔ Azure Databricks practical implementation
✔ Apache Spark basics
✔ Cluster & Notebook hands-on
✔ PySpark transformations
✔ Blob Storage integration
✔ SQL Database connectivity
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