Azure Databricks Certified Course

The Azure Databricks Certified Course is a comprehensive, industry-focused training program designed to build expertise in cloud-based data engineering, analytics, and big data processing. The course covers Azure Databricks, Apache Spark, PySpark, Python, SQL, Delta Lake, Azure Data Lake Storage, Databricks Workflows, and Unity Catalog. Learners gain hands-on experience in building scalable ETL/ELT pipelines, processing large datasets, optimizing Spark workloads, and developing real-world Lakehouse solutions. Through practical exercises and industry-based projects, participants develop the skills required to pursue careers in Azure Data Engineering, Big Data Analytics, Cloud Computing, and Data Science.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After Azure Databricks Certified Course:

• Azure Databricks Data Engineer
• Cloud Data Engineer
• Big Data Engineer
• Azure Data Engineer
• Data Analyst
• Data Engineering Developer
• Apache Spark Developer
• PySpark Developer
• Data Pipeline Developer
• Cloud ETL Developer
• Big Data Analytics Specialist

Essential Skills You Will Develop Azure Databricks Certified Course:

• Azure Databricks workspace and cloud environment management
• Apache Spark and distributed data processing
• PySpark and Python programming
• Advanced SQL for data analysis
• Data ingestion, cleansing, and transformation
• ETL/ELT pipeline development
• Delta Lake and Lakehouse architecture
• Azure Data Lake Storage (ADLS) integration
• Databricks Jobs, Workflows, and automation
• Spark performance optimization
• Data security, governance, and Unity Catalog

Tools Covered:

• Microsoft Azure
• Azure Databricks
• Apache Spark
• PySpark
• Python
• SQL
• Delta Lake
• Azure Data Lake Storage Gen2 (ADLS Gen2)
• Azure Data Factory (ADF)
• Databricks Workflows & Jobs

Syllabus:

Module 1: Azure Databricks Fundamentals

• Introduction to Azure Databricks & Lakehouse Architecture
• Workspace, Notebooks, Clusters & Compute
• Databricks Ecosystem & Use Cases

Module 2: Apache Spark Fundamentals

• Spark Architecture & Components
• RDDs, DataFrames & Spark SQL
• Transformations, Actions & Lazy Evaluation

Module 3: Python & PySpark

• Python for Data Engineering
• PySpark DataFrames & Functions
• Filtering, Joins, Aggregations & UDFs

Module 4: Data Ingestion & Transformation

• Data Sources & File Formats
• Data Cleaning & Transformation
• ETL/ELT Pipeline Development

Module 5: Delta Lake

• Delta Tables & Lakehouse Concepts
• ACID Transactions & Schema Management
• MERGE, UPDATE, DELETE & Time Travel

Module 6: Azure Data Integration

• Azure Data Lake Storage Gen2
• Azure Data Factory Integration
• Building Cloud-Based Data Pipelines

Module 7: Databricks Workflows & Jobs

• Jobs, Tasks & Scheduling
• Workflow Orchestration
• Monitoring & Troubleshooting

Module 8: Spark Performance Optimization

• Partitioning, Caching & Data Shuffling
• Query Optimization
• Cluster & Spark Performance Tuning

Module 9: Analytics & Machine Learning

• Data Analysis using Spark SQL
• ML Workflows with Databricks
• MLflow & Experiment Tracking

Module 10: Security, Governance & Capstone Project

• Unity Catalog & Access Control
• Data Security & Governance
• End-to-End Industry-Based Azure Databricks Project

Industry Projects:

• Retail Sales Data Analytics
• Customer Data Engineering
• Real-Time Data Processing
• Azure Data Factory Integration
• Delta Lakehouse Implementation
• Financial Data Processing
• IoT Data Analytics
• Healthcare Data Analytics
• Cloud Data Warehouse Migration

Who is this program for?

• Aspiring Data Engineers
• Cloud Data Engineers
• Data Analysts
• Big Data Professionals
• Azure Cloud Professionals
• Python & SQL Developers
• ETL/ELT Developers
• Data Scientists & ML Professionals
• IT Professionals looking to upskill in Azure Databricks
• Freshers seeking careers in Cloud & Data Engineering
• Professionals preparing for Azure Databricks certification