Data Engineering Training Course

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Duration: 5-6 Hours

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

Course Outline

Introduction to Data Engineering

  • What is data engineering
  • Role in modern organizations
  • Data lifecycle overview

Data Sources & Collection

  • Structured vs unstructured data
  • APIs, databases, files
  • Data ingestion basics

Data Pipelines

  • ETL vs ELT concepts
  • Workflow of data movement
  • Automation fundamentals

Data Storage & Processing

  • Databases vs data warehouses
  • Cloud storage basics
  • Batch vs real-time processing

Data Quality & Governance

  • Data cleaning basics
  • Data accuracy and reliability
  • Security and compliance

Real-World Use Cases

  • Data pipelines in business
  • Supporting analytics & AI systems

Bespoke Option

We are open to customizing any program to align with your specific learning objectives. If your team has particular goals or areas they wish to focus on, we would be happy to tailor the course outline to meet those needs and ensure the program supports the achievement of your desired outcomes.

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