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Mastering AWS Analytics (AWS Glue, KINESIS, ATHENA, EMR)

person icon Manish Tiwari

4.4

Mastering AWS Analytics (AWS Glue, KINESIS, ATHENA, EMR)

Learn AWS Serverless services and develop Data Catalogue, ETL, and Analytics on a Data Lake

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Manish Tiwari

English [CC]

category icon IT and Software ,IT Certifications,Amazon AWS

Lectures -50

Resources -11

Duration -6 hours

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4.4

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Course Description

In this course, we would learn the following:

1) We will start with the Basics of Serverless Computing.

2) We will learn Schema Discovery, ETL, Scheduling, and Tools integration using a Serverless AWS Glue Engine built on the Spark environment.

3) We will learn to develop a centralized Data Catalogue too using Serverless AWS Glue Engine.

4) We will learn to query data lake using Serverless Athena Engine build on the top of Presto and Hive.

5) We will learn about kinesis family and learn how we can handle real-time data and do analytics 

Businesses have always wanted to manage less infrastructure and more solutions. Big data challenges are continuously challenging the infrastructure boundaries. Having Serverless Storage, Serverless ETL, Serverless Analytics, and Serverless Reporting, all on one cloud platform had sounded too good to be true for a very long time. But now it's a reality on the AWS platform. AWS is the only cloud provider that has all the native serverless components for a true Serverless Data Lake Analytics solution.

This course understands your time is important, and so the course is designed to be laser-sharp on lecture timings, where all the trivial details are kept at a minimum and focus is kept on core content for experienced AWS Developers / Architects / Administrators. By the end of this course, you can feel assured and confident that you are future-proof for the next change and disruption sweeping the cloud industry.

I am very passionate about AWS Serverless computing on the Data and Analytics platform and am covering A-to-Z of all the topics discussed in this course.

So if you are excited and ready to get trained on the AWS Serverless Analytics platform, I am ready to welcome you to my class!

Goals

  • Confidently work with AWS Serverless services to develop Data Catalogue, ETL, and Analytics on a Data Lake.

  • Build a serverless data lake on AWS using structured and unstructured data.

  • Develop deep knowledge in Glue, Athena, kinesis, kinesis analytics, etc.

  • Real-time streaming data store and process.

Prerequisites

  • Basic working knowledge of any SQL-style query language.

  • The course includes a demo of all the labs. An AWS Account would be required to try labs hands-on.

Mastering AWS Analytics (AWS Glue, KINESIS, ATHENA, EMR)

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction

3 Lectures
  • play icon Introduction 00:36 00:36
  • play icon Course curriculam 02:35 02:35
  • play icon Course Resources

DEMO PROJECT

1 Lectures
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BASIC EC2 AND IAM

6 Lectures
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AMAZON S3

6 Lectures
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AWS GLUE

11 Lectures
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Kinesis

5 Lectures
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ATHENA

8 Lectures
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EMR (ELASTIC MAP REDUCE)

7 Lectures
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Project 1 : Real time end to end data engineer project

1 Lectures
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PROJECT 2 : S3 + GLUE + ATHENA

1 Lectures
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PROJECT 3 : KINESIS + S3 + GLUE + ATHENA

1 Lectures
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Instructor Details

manish tiwari

manish tiwari

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