Cloud Data Warehouse Concepts

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2:16:05

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1 - Introduction

1 - Introduction to The Cloud and Cloud Computing.mp4

03:29

2 - What is covered and not covered in this course.mp4

05:00

2 - Definitions and Concepts

3 - Introduction to Definitions and Concepts.mp4

00:33

4 - What is a Data Center.mp4

01:42

5 - What is The Cloud.mp4

01:09

6 - Cloud Computing and Cloud Elasticity.mp4

08:25

7 - Cloud Scalability.mp4

02:05

8 - Cloud Service.mp4

02:24

9 - Cloud Native.mp4

01:38

10 - Cloud Storage.mp4

01:22

11 - OpEx Vs CapEx.mp4

04:05

12 - IaaS Infrastructure as a Service.mp4

03:31

13 - PaaS Platform as a Service.mp4

02:34

14 - Saas Software as a Service.mp4

02:34

15 - Pizza Example for all the services discussed.mp4

01:57

16 - Virtual Machines aka VM.mp4

01:25

17 - Containers.mp4

01:41

18 - Serverless.mp4

03:58

19 - Public Cloud and Private Cloud.mp4

03:32

20 - Hybrid Cloud.mp4

01:42

21 - Multi Cloud.mp4

01:09

22 - APIs.mp4

03:44

23 - Definitions and Concepts Conclusion.mp4

00:57

3 - Cloud Data Warehouse

24 - Introduction to Cloud Data Warehouse.mp4

07:42

25 - Need of External Data Sources to an Enterprise Data Warehouse.mp4

06:43

26 - What are some of the challenges with traditional Data Warehouse.mp4

06:13

27 - How can Cloud technology help the Data Warehouse needs.mp4

06:12

28 - Types of Data Warehouse setup on Cloud.mp4

02:54

29 - Popular Cloud Data Warehouse providers in the market.mp4

02:07

30 - Questions to answer before considering the move from onpremise to Cloud.mp4

04:10

31 - Common Data Warehouse Use Cases for both traditional and cloud based set ups.mp4

06:25

32 - Which Cloud provider supports what use case.mp4

07:14

33 - Cloud based solutions for ETL and Reporting.mp4

09:31

34 - Different Migration options at a high level.mp4

05:34

4 - Architecture

35 - Traditional Data Warehouse Architectures.mp4

03:11

36 - Amazon Redshift Cloud Data Warehouse Architecture.mp4

07:33

Description

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

Who is this for?

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

What You Need to Know?

No prerequisites. This covers all the basic concepts needed for a Cloud Data Warehouse.

More details

Description
â€˜The Cloudâ€™ or â€˜Cloud computingâ€™ is one of the hottest buzzwords in technology. It appearsÂ more than 48 million timesÂ on the Internet search every day.Â 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 anÂ 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.
Iâ€™m here to help you on your journey to understand the basics of â€˜Cloudâ€™ 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 youâ€™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.
Who this course is for:
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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Instructor's Courses

Business Intelligence Consultant and Trainer with 14+ years of extensive work experience on various client engagements. Delivered many large data warehousing projects and trained numerous professionals on business intelligence technologies. Extensively worked on all facets of data warehousing including requirement gathering, gap analysis, database design, data integration, data modeling, enterprise reporting, data analytics, data quality, data visualization, OLAP. Has worked on broad range of business verticals and hold exceptional expertise on various ETL tools like Informatica Powercenter, SSIS, ODI and IDQ, Data Virtualization, DVO, MDM.

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