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DATA-ENGINEERING

Data Engineering on AWS

Build cloud-native data engineering pipelines using AWS data services.

See course details ·Contact us for schedule ·Delivery varies ·Course dependent
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Data Engineering on AWS
data-engineeringData Engineering on AWS

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LevelSee course details
DurationContact us for schedule
DeliveryDelivery varies
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Course Details

What you'll learn

Why This Course

The capstone of the Data Engineering path — applying pipeline, warehousing, and streaming skills specifically to AWS's data service ecosystem.

What You’ll Learn

  • AWS data services (Glue, Redshift, Kinesis)
  • Building serverless data pipelines
  • Data lake architecture on S3
  • Cost and performance optimization

Curriculum

  1. AWS Data Services Overview
  2. Data Lakes on S3
  3. AWS Glue for ETL
  4. Redshift for Analytics
  5. Kinesis for Streaming
  6. Capstone: End-to-End AWS Data Platform

Who Should Attend

Data engineers building on AWS.

Prerequisites

Data engineering fundamentals and basic AWS familiarity.

Hands-on Labs

Practice what you learn.

Hands-on lab availability is shown in the course details and enrolment information.

Ask About Labs →
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Part Of A Larger Path

This course is one stage in the Data Engineering Learning Path

View Full Path →
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Talk to an advisor about Data Engineering on AWS

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