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Big Data on Amazon web services (AWS) 

  • Offered byUDEMY

Big Data on Amazon web services (AWS)
 at 
UDEMY 
Overview

Learn About Building out Scalable, Resilient Big Data Solutions Using Various Services on AWS Cloud Platform

Duration

7 hours

Total fee

2,799

Mode of learning

Online

Credential

Certificate

Big Data on Amazon web services (AWS)
Table of content
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  • Overview
  • Highlights
  • Course Details
  • Curriculum
  • Faculty

Big Data on Amazon web services (AWS)
 at 
UDEMY 
Highlights

  • 30-Day Money-Back Guarantee
  • Full Lifetime Access
  • Certificate after completion
Details Icon

Big Data on Amazon web services (AWS)
 at 
UDEMY 
Course details

Who should do this course?
  • Big data aspirants
  • AWS enthusiasts
  • Software Developers and Architects
  • Analytics Professionals
  • Senior IT professionals
What are the course deliverables?
  • You will be able to understand the possibilities of Big Data on AWS
  • You will gain practical experience of how to use AWS and how to perform big data solutions on cloud.
  • Get a fair understanding of EMR, Athena and Elasticsearch
More about this course
  • This Big Data on AWS course is primarily to simplify the use of Big data tools on AWS
  • With the unstoppable growth in the organizations moving towards data science and big data analytics there is a dearth need of trained professionals who are well versed with both Big data and AWS technologies
  • This course helps the learners get the best of both worlds (Big Data analytics and AWS Cloud) and prepare for the future

Big Data on Amazon web services (AWS)
 at 
UDEMY 
Curriculum

Introduction

Getting Started

Overview of Big Data on AWS

Bigdata Storage &databases on AWS

Big Data Analytic Frameworks using AWS EMR, Athena and Elasticsearch

Data Warehousing on AWS Redshift

Faculty Icon

Big Data on Amazon web services (AWS)
 at 
UDEMY 
Faculty details

Learn sector LLP
Learnsector, your one-stop solution for all your training needs We're dedicated to giving you the best in class training in the space of Programming, Cyber Security, Cloud, Machine Learning, Analytics, and Project Management

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