Last updated 3/2019
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1007.77 MB | Duration: 2h 15m
The beginner’s guide to Cloud Data Warehouse
What you’ll learn
Basics of the cloud and cloud computing
Basics of Cloud Data Warehouses
Different non traditional Data Sources which are needed to Enterprises
How could the Cloud Technology help with the Cloud Data Warehouse?
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 times on the Internet search every day. Cloud computing and software-as-a-service (SaaS) have been around for quite some time 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 time, 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 time 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 time 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 Amazon 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
Homepage
https://www.udemy.com/course/cloud-data-warehouse-concepts/
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