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

person icon Manish Tiwari

4

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

aws , aws glue, aws kinesis, aws athena, aws emr, aws data engineering,aws data analytics

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Manish Tiwari

category icon IT & Software,AWS Glue

Lectures -50

Resources -11

Duration -6 hours

4

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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

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.

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

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.

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