Mastering AWS Analytics ( AWS Glue, KINESIS, ATHENA, EMR)
aws , aws glue, aws kinesis, aws athena, aws emr, aws data engineering,aws data analytics
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
What will you learn in this course:
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
What are the prerequisites for this course?
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.

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

BASIC EC2 AND IAM
6 Lectures

AMAZON S3
6 Lectures

AWS GLUE
11 Lectures

Kinesis
5 Lectures

ATHENA
8 Lectures

EMR (ELASTIC MAP REDUCE)
7 Lectures

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

PROJECT 2 : S3 + GLUE + ATHENA
1 Lectures

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

Instructor Details

manish tiwari
Hi I am manish and I am a full time data engineer and having 5+ years of IT experiences delivering some of the large data projects for industries ranging from technology, security, finance, retail . The projects I delivered were both on cloud platforms such as Azure and AWS as well as On-premises.
I have a passion for teaching and I take great pride in the success of my students. I have a different style of teaching than that of a standard I.T. trainer. My courses are based on real world projects. My courses will, not only explain the concepts, but also make them stick by using real world projects and examples. Throughout the course I give guidance on good practices and guide you towards building a production ready application. I strongly believe that once you have completed my courses you will have sufficient experience and knowledge required to start a real time project on that technology. Of course you may require further learning to progress in your career, but I will give you the required foundation and put you in the right direction to gain additional knowledge.
I value your time as much as I do mine. So, I keep my courses to the point and my courses have been taught in simple English without any jargons.
Course Certificate
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