Big Data Management, Data Engineering & Cloud Analytics

1) Course Introduction

This course introduces big data technologies, data engineering pipelines, and cloud-based analytics platforms.

At the data engineering core, Seattle International Institute for Training integrates cloud analytics, data architecture, and distributed systems.

2) Key Learning Objectives

Participants will learn to:

· Understand big data ecosystems and tools

· Build data engineering pipelines

· Use cloud platforms (AWS, Azure, GCP) for analytics

· Manage structured and unstructured datasets

· Improve data accessibility and performance

3) Target Audience

· Data engineers

· IT specialists

· BI professionals

· Cloud transformation teams

4) Course Importance & Business Impact

Big data capabilities support advanced analytics, automation, and enterprise intelligence.

5) Practical Modules / Key Topics

· Big data frameworks

· Data pipeline design

· Cloud analytics tools

· Data architecture models

· Performance optimization