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Big Data Masters Program

A Complete Online Learning Experience

100% Online & Self-Paced

Learn at your own convenience with lifetime access to all course materials.

Industry-Relevant Curriculum

Built by top data engineers to meet real-world Big Data demands.

Hands-On Projects

Work on real-time case studies using Hadoop, Spark, Kafka & more.

Expert Mentorship

Live sessions and support from certified Big Data professionals.

Tool Mastery

Gain proficiency in Hive, Pig, HDFS, HBase, Sqoop, Flume & more.

Career Support

Resume assistance, mock interviews & job referrals.

Azure Data Engineering Course

Milestone-based, hands-on curriculum for future-ready Data Engineers

📘 Milestone 1: Data Engineering Foundations

Week 1
  • Big Data Concepts
  • Hadoop & HDFS
  • Data Lake Architecture
Week 2
  • Types of Data Systems
  • Batch vs Streaming
  • Data Ingestion Techniques
Week 3
  • Introduction to Azure
  • Resource Groups & Storage
  • Azure Data Services Overview
Week 4
  • ETL Concepts
  • Data Transformation Basics
  • Schema Design
Week 5
  • Data Engineering Role
  • Tools & Pipelines
  • Hands-on: Ingest CSV/JSON to Azure Blob
Week 6
  • Real-world Use Cases
  • Azure Subscription Setup
  • Mini Project: Data Storage & Access

🧪 Milestone 2: Spark Development with Databricks

Week 1
  • Apache Spark Internals
  • RDD vs DataFrames
  • Cluster Modes
Week 2
  • Databricks Workspace
  • Notebook Fundamentals
  • Cluster Configuration
Week 3
  • PySpark Basics
  • Transformations & Actions
  • DataFrames & Schemas
Week 4
  • Spark SQL
  • Joins, Aggregations
  • Window Functions
Week 5
  • Delta Lake Deep Dive
  • ACID Transactions
  • Time Travel & Versioning
Week 6
  • Unity Catalog & DBFS
  • Data Governance
  • Mini Project: Spark + Delta

🏁 Milestone 3: Integration, Pipelines & Career Launch

Week 1
  • Azure Data Factory Basics
  • Copy Activity, Datasets
  • Triggers & Linked Services
Week 2
  • Data Flows in ADF
  • Mapping & Wrangling
  • Pipeline Design Patterns
Week 3
  • Integrating ADF + Databricks
  • Orchestration Strategies
  • Monitoring & Alerts
Week 4
  • Mini Project: End-to-End Pipeline
  • Blob → Databricks → SQL
  • Best Practices Review
Week 5
  • Career Guidance
  • Resume + LinkedIn
  • Mock Interviews
Week 6
  • Capstone Project Presentation
  • Peer Review & Feedback
  • Interview Q&A + Final Wrap-up
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