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Course: Complete AWS Big Data and Analytics Certification

Complete AWS Big Data and Analytics Certification

  • Life Time Access
  • Certificate on Completion
  • Access on Android and iOS App
  • Self-Paced
About this Course

In this course, we would explore Amazon Cloud- Amazon Web Services. We would explore AWS Big Data and Analytics Certification that one can take, exploring the learning path in the domain of big data and analytics .

We would also explore how we can prepare for this aws certification, what are the services covered, exam pattern, weight-age, syllabus, etc

In this course we will learn and practice all the tools of AWS Analytics which is being offered by AWS Cloud. There will be both theoretical and practical section of each AWS Analytics tools.This course is for those who wanted to groom their analytics skills .

Analytics plays very important role in the world of big data. There is no use of big data if we can not extract proper or meaningful insights from that. In short more data means better analysis, better analysis means better decision which makes organisation profitable.

Analytics tools like

  • Amazon Athena (Querying data instantly and get results in seconds)
  • Amazon CloudSearch (Makes it simple and cost-effective to set up, manage, and scale a search solution for your website or application)
  • Amazon ElasticSearch (Search, Analyse, and Visualise data in real-time.)
  • Amazon Kinesis (Easily collecting, processing, and analysing video and data streams in real time)
  • Amazon QuickSight (Fast, Cloud-powered BI service that makes it easy to build visualisations and quickly get business insights from your data.)
  • Amazon Glue (Simple, flexible, and cost-effective ETL)
  • This course also contains many practicals to groom your analytics skills.

And also

COMPUTE Services(EC2, Beanstalk, Lambda, Container, Lightsail, VPC), AWS CLI and many more topics

This course is generally for aws certification aspirants providing them all the necessary information regarding various certifications in different domains before taking actual exam, in a manner to maximise the benefits of certification and chances of being certified.

Basic knowledge
  • No prerequisites at all. You just need a little experience of doing GOOGLE search only ! But if u are aware of some cloud based or web development tools and technologies, it is helpful
What you will learn
  • On completion of this course you would be able to develop and deploy your applications over Amazon Cloud- Amazon Web Services. You would be in a position to take AWS Big Data Analytics Speciality Exam and qualify with good marks. Having command over various options, services and tools available including kinesis, athena, etc
Curriculum
Number of Lectures: 39
Total Duration: 03:54:39
Introduction
  • Introduction  
  • Cloud Practitioner  
  • Big Data – Specialty  
AWS Introduction
  • AWS Introduction  
  • Creating an AWS account  
Command Line Interface
  • cli 1  
  • cli 2  
Compute
  • EC2  
  • EC2 container  
  • ECS  
  • Beanstalk  
  • PRACTICAL- Beanstalk  
  • Batch  
  • EKS  
  • Analytics EMR  
Analytics
  • analytics intro  
  • athena prac 1  
  • athena prac 2  
  • athena prac 3  
  • athena prac 4  
  • athena prac 4.1  
  • athena prac 4.2  
  • athena prac 4.3  
  • athena prac 4.4  
  • athena prac 4.5  
  • athena theory  
  • cloudsearch theory  
  • cs1  
  • cs2  
  • cs3  
  • esintro  
  • kinesis intro  
  • kinesis practical  
  • kinsis 1video stream  
  • kinsis 2 firehose  
  • kinsis 3 data analytics  
  • kinsis 3 data stream  
  • py kinesis  
  • quicksight theory  
Reviews (2)
2 days before
nice tutorial
2 days before
informative course