DATA ENGINEERING
About Course
Data Engineering is the backbone of the modern data landscape. This program focuses on building the “pipelines” that collect, transform, and store data so it can be used by Data Scientists and Analysts. The first month focuses on the architectural foundations—SQL mastery, NoSQL databases, and Big Data processing. The second month transitions into building automated ETL (Extract, Transform, Load) pipelines, data warehousing, and real-time streaming architectures.
Course Content
Month 1: Theory & Concepts (Monday – Friday Classes)
Module 1: Introduction to Data Engineering
Module 2: Advanced SQL & Schema Design
Module 3: NoSQL & Distributed Systems
Module 4: Big Data Processing with Apache Spark
Module 5: Data Warehousing & Lakes
Module 6: Containerization & Version Control
Month 2: Industry-Level Projects
Project 1: Automated End-to-End ETL Pipeline
Project 2: Real-time Twitter/Stock Stream Processor
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