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Development Development Tools Amazon AWS

Big Data on Amazon web services (AWS)

Learn About Building out Scalable, Resilient Big Data Solutions Using Various Services on AWS Cloud Platform
Rating: 4.1 out of 54.1 (673 ratings)
114,628 students
Created by Learnsector LLP
Last updated 3/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • 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

Course content

12 sections • 36 lectures • 7h 8m total length

  • Preview03:11
  • Preview02:02

  • Why Use AWS for Big Data
    14:35

  • Overview of Big Data on AWS
    10:54
  • Quiz
    2 questions

  • Object Storage for Big Data Applications on AWS
    22:02
  • Access Permissions with S3
    12:00
  • SQL vs. NoSQL Databases
    08:21
  • Databases and Big Data on AWS
    49:46
  • Case Study
    05:29
  • HandsOn excercise
    00:14
  • Quiz
    6 questions

  • Why Use a Big Data Analytic Framework?
    05:00
  • Big Data Analytic Frameworks on AWS
    50:21
  • Case Study
    06:16
  • HandsOn excercise
    00:07
  • Quiz
    4 questions

  • Data Warehousing on AWS
    19:10
  • Case Study
    03:56
  • HandsOn excercise
    00:22
  • Quiz
    3 questions

  • What Is Real-Time/Streaming Data?
    06:03
  • Preview18:50
  • Case Study
    04:08
  • Quiz
    2 questions

  • What Are Artificial Intelligence and Machine Learning?
    05:27
  • Artificial Intelligence & Machine Learning on AWS
    03:51
  • Amazon Lex
    10:17
  • Amazon Polly
    08:14
  • Amazon Rekognition
    10:00
  • Preview15:46
  • Apache MXnet
    04:07
  • Case Study
    03:48
  • HandsOn excercise
    00:32
  • Quiz
    5 questions

  • Amazon Quicksight for business intelligence
    10:35

  • Big Data Computation on AWS
    46:32
  • Amazon EC2 Demo
    04:53
  • Case Study
    05:02
  • HandsOn excercise
    00:29
  • Quiz
    4 questions

Requirements

  • This course does not presume that students have prior knowledge of AWS or its Big Data services.
  • Having a fair understanding of Java and SQL would help but it is not mandatory.

Description

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.   

We cover the following topics in this course:

  • Overview of Big Data on AWS

  • Big Data Storage  & databases on AWS

  • Big Data Analytics Frameworks using AWS EMR, Athena and Elasticsearch

  • Data Warehousing on AWS Redshift

  • Real-Time Big Data Analytics on AWS

  • Artificial Intelligence/Machine Learning

  • Business Intelligence on AWS

  • Big Data Computation on AWS

  • How does it all work together

Who this course is for:

  • Big data aspirants
  • AWS enthusiasts
  • Software Developers and Architects
  • Analytics Professionals
  • Senior IT professionals
  • Testing and Mainframe Professionals
  • Data Management Professionals
  • Business Intelligence Professionals
  • Project Managers
  • Aspiring Data Scientists
  • Graduates looking to build a career in Big Data Analytics

Instructor

Learnsector LLP
Learn to Win
Learnsector LLP
  • 4.3 Instructor Rating
  • 5,158 Reviews
  • 235,037 Students
  • 7 Courses

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.

Our exclusive training helps you to acquire relevant skill set mandatory to grab thriving opportunities.We train you intensively to implement your technical skills in real-world scenario.We help you stay up-to-date with latest technologies and requirements of IT organizations across the world.

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