Intermediate
Placement Assistance Professional Courses

Azure Data Engineer

Hankernest Hankernest
Overview
Curriculum
  • 10 Sections
  • 35 Lessons
  • 100h Duration
Collapse All
Week 1: Intro to Azure & Data Engineering Basics
4 Lessons
  1. Azure subscriptions, compute & storage overview
  2. Role of an Azure Data Engineer
  3. Azure core services: ADF, Synapse, Databricks, Blob Storage, Data Lake
  4. Mini Project: Set up a Data Lake Gen2 environment
Week 2: Data Storage in Azure
4 Lessons
  1. Storage types: Blob, Data Lake Gen2
  2. File formats: CSV, JSON, Parquet, Avro
  3. Data lifecycle & access management
  4. Mini Project: Layered Data Lake structure for e-commerce data
Week 3: Data Movement & Orchestration (Azure Data Factory)
4 Lessons
  1. Pipelines, datasets, linked services
  2. Mapping Data Flows for transformation
  3. Integrating ADF with Synapse & Databricks
  4. Mini Project: ETL pipeline for sales data ingestion & transformation
Week 4: SQL in Azure – Azure SQL DB & Synapse Analytics
3 Lessons
  1. Synapse SQL pools (serverless vs. dedicated)
  2. External tables, PolyBase, performance tuning
  3. Mini Project: Reporting layer in Synapse for BI insights
Week 5: Intro to Azure Databricks & PySpark
3 Lessons
  1. PySpark basics: transformations, actions, DataFrames
  2. Delta Lake and ACID transactions
  3. Mini Project: Clean product data using Databricks & PySpark
Week 6: Advanced PySpark & Real-time Integrations
3 Lessons
  1. Joins, window functions, optimization in PySpark
  2. Structured streaming with Databricks
  3. Mini Project: Build a real-time pipeline with Event Hub & Databricks
Week 7: Real-Time Data Processing with Azure Stream Analytics
4 Lessons
  1. Connect Event Hub, IoT Hub
  2. Real-time SQL-based streaming queries
  3. Outputs to SQL DB, Synapse & Power BI
  4. Mini Project: Fraud detection streaming pipeline
Week 8: Big Data & Azure HDInsight
3 Lessons
  1. Hadoop & Spark clusters
  2. Mini Project: Analyze customer feedback using Spark/HDInsight
  3. Comparing Data Lake, HDInsight & Databricks
Week 9: Data Security, Governance & Cost Optimization
4 Lessons
  1. Role-based access control (RBAC), encryption
  2. Azure Purview for data lineage
  3. Azure Key Vault for secrets
  4. Mini Project: Secure and optimize a data pipeline
Week 10: Capstone Project & Final Presentation
3 Lessons
  1. End-to-End Pipeline:
  2. Final project presentation to simulate a client pitch
  3. Career mentorship, Job prep and Placement Assistance

This hands-on, job-oriented training is designed for aspiring Azure Data Engineers who want to build, manage, and optimize scalable data solutions in the cloud. Over 10 weeks, you’ll master Azure’s key data tools including Data Factory, Synapse, Databricks, Stream Analytics, and more. Whether you’re transitioning into cloud data roles or leveling up your engineering skills, this program equips you to build end-to-end data pipelines, work with real-time streaming data, and secure your infrastructure—all with project-based learning that simulates real industry scenarios.

Deleting Course Review

Are you sure? You can't restore this back

Course Access

This course is password protected. To access it please enter your password below:

Related Courses

Intermediate
Placement Assistance Professional Courses

Data Analyst

100h
53
20
Add to Cart
Intermediate
Placement Assistance Professional Courses

Business Analyst

100h
49
20
Add to Cart
0
    0
    Your Cart
    Your cart is emptyReturn to Shop
    Continue Shopping
    Scroll to Top