Cloud Data Warehouse Concepts

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What are the benefits to an Enterprise to move on to a Cloud Data Warehouse
What are the current popular Cloud Data Warehouse providers in the market now
On what basis should we consider to move from a traditional Data Warehouse to a Cloud Data Warehouse
What are the common use cases we should consider when considering the option of Cloud Data Warehouse
List of latest ETL tools for Cloud Data Warehouses
List of latest Reporting tools for Cloud Data Warehouses
Requirements
No prerequisites. This covers all the basic concepts needed for a Cloud Data Warehouse.
Description
'The Cloud' or 'Cloud computing' is one of the hottest buzzwords in technology. It appears more than 48 million s on the Internet search every day. Cloud computing and software-as-a-service (SaaS) have been around for quite some now and we have been using it via multiple applications both at work and personally via mobile apps. But when it comes to the data warehouse on a cloud, the concept or the idea has recently emerged as an alternative to conventional or traditional, on-premises data warehousing and similar types of solutions which we have been working on.When choosing a DW solution for the first , the very first consideration is typically one between an on-prem DW or a cloud-based one. And while a lot of folks new to the Data Warehouse domain go straight to the cloud these days because it is faster, easier and pay as you go or use method of pricing, the scalable features and the quick turnaround on multiple aspects. Not that the Cloud is one stop solution for all Data Warehouse needs and there are still many reasons why an organization might want to choose an on-prem solution.Even now there are a lot of projects/implementations which are maintaining and enhancing the traditional data warehouses on a daily basis. And, lot of projects and team members are also dealing with issues with different kinds of sources, the increase in volumes of data and the outburst of new requirements from business and analytics to see the real value of the unstructured formats of data. I'm here to help you on your journey to understand the basics of 'Cloud' and the Cloud Data Warehouse. We would take little baby steps and go slow and easy, so you can learn more about what the cloud Data Warehouse really is and make sure that you'll understand the cloud Data Warehouse by the you finish with this course. We will take examples of our day to day use of applications like Facebook, Netflix, Google Maps etc to learn more and understand better.

Overview

Section 1: Introduction

Lecture 1 Introduction to 'The Cloud' and 'Cloud Computing'

Lecture 2 What is covered and not covered in this course

Section 2: Definitions and Concepts

Lecture 3 Introduction to Definitions and Concepts

Lecture 4 What is a Data Center

Lecture 5 What is 'The Cloud'

Lecture 6 Cloud Computing and Cloud Elasticity

Lecture 7 Cloud Scalability

Lecture 8 Cloud Service

Lecture 9 Cloud Native

Lecture 10 Cloud Storage

Lecture 11 OpEx Vs CapEx

Lecture 12 IaaS - Infrastructure as a Service

Lecture 13 PaaS - Platform as a Service

Lecture 14 Saas - Software as a Service

Lecture 15 Pizza Example for all the services discussed

Lecture 16 Virtual Machines aka VM

Lecture 17 Containers

Lecture 18 Serverless

Lecture 19 Public Cloud and Private Cloud

Lecture 20 Hybrid Cloud

Lecture 21 Multi Cloud

Lecture 22 API's

Lecture 23 Definitions and Concepts Conclusion

Section 3: Cloud Data Warehouse

Lecture 24 Introduction to Cloud Data Warehouse

Lecture 25 Need of External Data Sources to an Enterprise Data Warehouse

Lecture 26 What are some of the challenges with traditional Data Warehouse

Lecture 27 How can Cloud technology help the Data Warehouse needs

Lecture 28 Types of Data Warehouse setup on Cloud

Lecture 29 Popular Cloud Data Warehouse providers in the market

Lecture 30 Questions to answer before considering the move from on-premise to Cloud

Lecture 31 Common Data Warehouse Use Cases for both traditional and cloud based set ups

Lecture 32 Which Cloud provider supports what use case

Lecture 33 Cloud based solutions for ETL and Reporting

Lecture 34 Different Migration options at a high level

Section 4: Architecture

Lecture 35 Traditional Data Warehouse Architectures

Lecture 36 Redshift Cloud Data Warehouse Architecture

Any body interested in learning the basics of 'the cloud;, 'Cloud Computing' and the 'Cloud Data Warehouse',Data Warehouse and Business Intelligence Professionals,ETL Developers ( Informatica Power Center, IBM DataStage, Pentaho, Talend etc),Data Analysts,Business Analysts

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