Mastering AWS Analytics ( AWS Glue, KINESIS, ATHENA, EMR)
aws , aws glue, aws kinesis, aws athena, aws emr, aws data engineering,aws data analytics
Lectures -50
Resources -11
Duration -6 hours
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Course Description
In this course, we would learn the following:
1) We will start with Basics on Serverless Computing .
2) We will learn Schema Discovery, ETL, Scheduling, and Tools integration using Serverless AWS Glue Engine built on 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 its a reality on 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 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 AWS Serverless Analytics platform, I am ready to welcome you in my class !
Goals
Confidently work with AWS Serverless services to develop Data Catalogue, ETL, 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
Course includes demo of all the labs. An AWS Account would be required to try labs hands-on.
![Mastering AWS Analytics ( AWS Glue, KINESIS, ATHENA, EMR) Mastering AWS Analytics ( AWS Glue, KINESIS, ATHENA, EMR)](https://d3mxt5v3yxgcsr.cloudfront.net/courses/10834/course_10834_image.jpg)
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
3 Lectures
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Introduction 00:36 00:36
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Course curriculam 02:35 02:35
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Course Resources
DEMO PROJECT
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
BASIC EC2 AND IAM
6 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
AMAZON S3
6 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
AWS GLUE
11 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Kinesis
5 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
ATHENA
8 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
EMR (ELASTIC MAP REDUCE)
7 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Project 1 : Real time end to end data engineer project
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
PROJECT 2 : S3 + GLUE + ATHENA
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
PROJECT 3 : KINESIS + S3 + GLUE + ATHENA
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Instructor Details
![manish tiwari](https://www.tutorialspoint.com/assets/profiles/526208/profile/200_374205-1692688725.jpg)
manish tiwari
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