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Course Outline

Data Engineering

Data Engineering

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Duration

5-6Hours

Course Overview

This course introduces the fundamentals of data engineering and how modern organizations collect, process, and manage large volumes of data. Participants will gain a clear understanding of data pipelines, data storage, and real-world data workflows used in analytics and AI systems.

Format of Training

  • Instructor-led session
  • Real-world examples and case walkthroughs
  • Concept + practical understanding
  • Guided exercises

Prerequisites

  1. Basic understanding of data or IT concepts
  2. No coding experience required
Course Outline
  1. Introduction to Data Engineering
  • What is data engineering
  • Role in modern organizations
  • Data lifecycle overview
  1. Data Sources & Collection
  • Structured vs unstructured data
  • APIs, databases, files
  • Data ingestion basics
  1. Data Pipelines
  • ETL vs ELT concepts
  • Workflow of data movement
  • Automation fundamentals
  1. Data Storage & Processing
  • Databases vs data warehouses
  • Cloud storage basics
  • Batch vs real-time processing
  1. Data Quality & Governance
  • Data cleaning basics
  • Data accuracy and reliability
  • Security and compliance
  1. Real-World Use Cases
  • Data pipelines in business
  • Supporting analytics & AI systems
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Data Engineering

Course Name: Data Engineering

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Data Engineering