Complete AWS Big Data and Analytics Training
All you need to master AWS Big Data and Analytics in 2023
IT & Software,IT Certification,AWS Certified Data Analytics - Specialty
Lectures -38
Duration -3.5 hours
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Course Description
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.
Goals
- 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.
Prerequisites
- 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.
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Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
2 Lectures
-
Introduction 14:21 14:21
-
Big Data – Specialty 08:16 08:16
AWS Introduction
2 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Command Line Interface
2 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Compute
8 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Analytics- Athena
11 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Analytics- Cloudsearch
5 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Analytics- Kinesis and Quicksight
7 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Instructor Details
![Pranjal Srivastava](https://www.tutorialspoint.com/assets/profiles/137804/profile/200_175574-1578059958.jpg)
Pranjal Srivastava
I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.
I have authored 78 courses with over 115,000 students worldwide across 175+ countries on wide array of technologies like devops, containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.
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