PG Program in Azure Data Engineering
- 10 Weeks
- All Levels
- 10
- 4
- 49
- Enroll Now
Overview
SQL Python, Pyspark, Databrick, Azure Cloud Services(Azure KeyVault, BlobStorage, ADLS gen2) ADF
Curriculum
Module 1 : SQL for Data Analysis & Engineering
- Introduction to Relational Databases
- Writing Basic to Complex SQL Queries
- Writing Basic to Complex SQL Queries
- Data Cleansing & Filtering Techniques
- Query Optimization and Best Practices
Module 2: Python for Data Engineering
- Python Fundamentals & Data Structures
- Working with Files and APIs
- Error Handling, Functions & Modules
- Introduction to Pandas & Data Manipulation
- Writing Production-Ready Scripts
Module 3: Big Data Processing using PySpark
- Introduction to Spark Architecture
- DataFrames, RDDs, and Lazy Evaluation
- Transformations, Actions, and UDFs
- Managing Large-Scale Data Workloads
- Performance Tuning in PySpark
Module 4: Azure Cloud Services for Data Engineering
- Overview of Azure Architecture
- Azure Storage Services (Blob, ADLS Gen2)
- Azure Key Vault & Secrets Management
- Introduction to Azure Synapse & Data Lakes
- Cost Management & Resource Scaling
Module 5: Azure Databricks for Scalable Data Processing
- Databricks Environment Setup and Configuration
- Notebooks, Workflows, and Delta Lake
- Real-Time and Batch Data Processing
- Cluster Management & Job Scheduling
- CI/CD Integration with Git & DevOps
Module 6: Orchestrating Workflows using Azure Data Factory
- Building & Managing ETL Pipelines
- Linked Services, Datasets, and Parameters
- Triggers, Pipeline Schedules & Dependency Handling
- Data Flow Design Patterns
- Monitoring, Logging, and Debugging Pipelines
Ready to start your journey?
Enroll now and master Azure Data Engineering with hands-on, expert-led training.