IT : Complete AWS Big Data and Analytics Certification
Big Data, Big data Courses & Training, Online Big data Courses & Training, Online Big Data Collection Course
Simpliv LLC
Summary
- Certificate of completion - Free
- Tutor is available to students
Overview
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 .
Curriculum
Introduction
AWS Introduction
Command Line Interface
Compute
Analytics
Description
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
Who is this course for?
Anyone who may take AWS Cloud Big Data Analytics Speciality Exam and would be preparing for it.
Anyone who just wants to learn and test Amazon Web Services Platform or any developer willing to develop his/her application over Amazon Cloud- Amazon Web Services.
Questions and answers
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Certificates
Certificate of completion
Digital certificate - Included
Reviews
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Legal information
This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.