Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Subscribe
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
AWS Analytics Services - Hands-On Lab Demos
Rating: 4.9 out of 5(4 ratings)
4,797 students

AWS Analytics Services - Hands-On Lab Demos

Learn AWS Analytics with hands-on demos of Athena, Glue, EMR, Redshift, OpenSearch, and QuickSight.
Created byDeepak Dubey
Last updated 10/2025
English

What you'll learn

  • Use AWS Glue crawlers to build a Data Catalog and run serverless ETL (Extract, Transform, Load) jobs.
  • Run serverless SQL queries directly on data in S3 using Amazon Athena.
  • Build and share interactive Business Intelligence (BI) dashboards from your data using Amazon QuickSight.
  • Deploy and query a high-performance data warehouse using Amazon Redshift.

Explore related topics

Course content

1 section • 10 lectures • 3h 11m total length

  • Amazon Athena - Hands-On Demo11:40
  • AWS Data Exchange - Hands-On Demo12:28
  • Amazon EMR - Hands-On Demo18:20
  • AWS Glue - Hands-On Demo28:31

    Learn end-to-end AWS analytics with glue: create S3 buckets, build a data catalog and crawler, run a python ETL job, and query results with Athena.

  • Amazon Kinesis Data Streams - Hands-On Demo14:29
  • AWS Lake Formation - Hands-On Demo28:44
  • Amazon Managed Streaming for Apache Kafka (Amazon MSK) - Hands-On Demo24:08
  • Amazon OpenSearch Service - Hands-On Demo18:23
  • Amazon QuickSight - Hands-On Demo13:13
  • Amazon Redshift - Hands-On Demo21:58

    Perform a hands-on Amazon Redshift demo: build a cluster, configure security, load data from S3 with the copy command, query via the editor, analyze performance, and clean up.

Requirements

  • An active AWS account (Free Tier recommended) is essential to follow along with the hands-on demos.
  • A basic familiarity with data concepts (like what a database is, what SQL stands for, and the idea of ETL) is highly recommended.

Description

Stop reading dry documentation and start seeing AWS Analytics services in action!

The AWS Analytics ecosystem is incredibly powerful, but learning it from theory alone is difficult. To truly understand how to build a data pipeline, you need to see these services working together.

This course is built on one simple principle: learn by watching practical, hands-on demos.

We skip the long, boring theory slides and get straight into the AWS console. This course is a comprehensive collection of over-the-shoulder lab demonstrations where I walk you through the setup, configuration, and real-world use of the most important AWS Analytics services. You will see how to build, why we're clicking each button, and what the end result looks like.

This is not a "what is" course; this is a "how-to" course.

Join me as we build, configure, and run end-to-end analytics solutions. You will get detailed, practical demos of:

  • Amazon Athena: Running serverless SQL queries directly on your S3 data.

  • AWS Glue: Using crawlers to build a Data Catalog and running serverless ETL (Extract, Transform, Load) jobs.

  • Amazon EMR: Launching and managing a big data cluster (like Spark) to process massive datasets.

  • Amazon Redshift: Setting up a high-performance data warehouse and running complex analytical queries.

  • Amazon QuickSight: Building and sharing interactive Business Intelligence (BI) dashboards to visualize your data.

  • Amazon OpenSearch Service: Deploying a cluster for powerful log analytics, monitoring, and real-time search.

  • Amazon MSK (Managed Kafka) & Kinesis: Understanding and configuring services for real-time data streaming.

  • AWS Lake Formation: Building, securing, and managing a data lake in a matter of minutes.

  • ...and more!

Who is this course for?

  • Data Engineers and Data Analysts who want to learn to build pipelines on AWS.

  • Solutions Architects who need to design modern data analytics solutions.

  • Developers who need to integrate data streaming or analytics into their applications.

  • Individuals preparing for the AWS Certified Data Analytics - Specialty exam.

  • Any tech professional who learns best by "seeing" and "doing" rather than just reading slides.

If you're ready to gain practical, hands-on confidence in the AWS Analytics stack, this course is for you.

Enroll today and let's start building!

Who this course is for:

  • Developers who need to build data processing pipelines or analytics features into their applications.

Report abuse