Big Data On Amazon Web Services Aws Cloud 2018

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Tags: Amazon AWS

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

Last updated 2022-01-10 | 4.3

- 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

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

* 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

Course content

12 sections • 45 lectures

Introduction 2 lectures

Introduction Preview 03:11

Course Overview Preview 02:02

Getting Started 1 lectures

Why Use AWS for Big Data Preview 14:35

Overview of Big Data on AWS 2 lectures

Overview of Big Data on AWS Preview 10:54

Quiz

Bigdata Storage & databases on AWS 7 lectures

Object Storage for Big Data Applications on AWS Preview 22:02

Access Permissions with S3 Preview 12:00

SQL vs. NoSQL Databases Preview 08:21

Databases and Big Data on AWS Preview 49:46

Case Study Preview 05:29

HandsOn excercise Preview 00:14

Quiz

Big Data Analytic Frameworks using AWS EMR,Athena and Elasticsearch 5 lectures

Why Use a Big Data Analytic Framework? Preview 05:00

Big Data Analytic Frameworks on AWS Preview 50:21

Case Study Preview 06:16

HandsOn excercise Preview 00:07

Quiz

Data Warehousing on AWS Redshift 4 lectures

Data Warehousing on AWS Preview 19:10

Case Study Preview 03:56

HandsOn excercise Preview 00:22

Quiz

Real-Time Big Data Analytics on AWS 4 lectures

What Is Real-Time/Streaming Data? Preview 06:03

Real-Time Big Data Services using Amazon Kinesis Preview 18:50

Case Study Preview 04:08

Quiz

Artificial Intelligence/Machine Learning 10 lectures

What Are Artificial Intelligence and Machine Learning? Preview 05:27

Artificial Intelligence & Machine Learning on AWS Preview 03:51

Amazon Lex Preview 10:17

Amazon Polly Preview 08:14

Amazon Rekognition Preview 10:00

Amazon SageMaker Preview 15:46

Apache MXnet Preview 04:07

Case Study Preview 03:48

HandsOn excercise Preview 00:32

Quiz

Business Intelligence on AWS 1 lectures

Amazon Quicksight for business intelligence Preview 10:35

Big Data Computation on AWS 5 lectures

Big Data Computation on AWS Preview 46:32

Amazon EC2 Demo Preview 04:53

Case Study Preview 05:02

HandsOn excercise Preview 00:29

Quiz

How does it all work together 3 lectures

Data Movement on AWS Preview 36:11

Serverless Big Data Computations Preview 19:28

Quiz

Projects 1 lectures

PROJECT

In a DynamoDB database you need to analyze top 10 objects using Kinesis, Athena and Quicksight.