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Cloud Data Warehouse Concepts

The beginner's guide to Cloud Data Warehouse
Instructor:
Sid Inf
40 students enrolled
English [Auto-generated]
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

‘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.

Introduction

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

‘The Cloud’ or ‘Cloud computing’ is one of the hottest buzzwords in technology. In this lecture we will briefly talk about the Cloud and Cloud Computing.

2
What is covered and not covered in this course?

This lecture talks about 'What is covered and not covered in this course?'

Definitions and Concepts

1
Introduction to Definitions and Concepts

Introduction to Definitions and Concepts of the cloud and the cloud data warehouse.

2
What is a Data Center?

data center (or datacenter) is a facility composed of networked computers and storage that businesses or other organizations use to organize, process, store and disseminate large amounts of data. 

3
What is 'The Cloud'?

The cloud is a global network of remote servers that operates as a single ecosystem, over the Internet.

4
Cloud Computing and Cloud Elasticity

Cloud computing is the delivery of computing services—servers, storage, databases, networking, software, analytics, intelligence and more—over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale. You typically pay only for cloud services you use, helping lower your operating costs, run your infrastructure more efficiently, and scale as your business needs change. 

Elasticity is the ability to grow or shrink infrastructure resources dynamically as needed to adapt to workload changes in an autonomic manner, maximizing the use of resources. 

5
Cloud Scalability

Scalability is the capability of a process, network, software or appliance to grow and manage increased demands. This is one of the most valuable and predominant feature of cloud computing. Through scalability you can scale up your data storage capacity or scale it down to meet the demands of your growing business. 

6
Cloud Service

A cloud service is any service made available to users on demand via the Internet from a cloud computing provider's servers as opposed to being provided from a company's own on-premises servers. 

7
Cloud Native

Cloud native is a term used to describe container-based environments. Cloud-native technologies are used to develop applications built with services packaged in containers, deployed as micro-services and managed on elastic infrastructure through agile DevOps processes and continuous delivery workflows. 

8
Cloud Storage

Cloud storage is a cloud computing model that stores data on the Internet through a cloud computing provider who manages and operates data storage as a service. It's delivered on demand with just-in-time capacity and costs, and eliminates buying and managing your own data storage infrastructure. 

9
OpEx Vs CapEx

Capital expenditures (CapEx) refers to the money a company spends towards fixed assets, such as the purchase, maintenance, and improvements of buildings, vehicles, equipment, computers, hardware or land.  

Operating expenses (OpEx) are the funds an organization uses to run its day-to-day business. 

10
IaaS - Infrastructure as a Service

Infrastructure as a service are online services that provide high-level APIs used to reference various low-level details of underlying network infrastructure like physical computing resources, location, data partitioning, scaling, security, backup etc. 

11
PaaS - Platform as a Service

Platform as a service (PaaS) is a cloud computing model in which a third-party provider delivers hardware and software tools -- usually those needed for application development -- to users over the internet. A PaaS provider hosts the hardware and software on its own infrastructure. 

12
Saas - Software as a Service

Software as a service (SaaS) is a software distribution model in which a third-party provider hosts applications and makes them available to customers over the Internet. SaaS is one of three main categories of cloud computing, alongside infrastructure as a service (IaaS) and platform as a service (PaaS). 

13
Pizza Example for all the services discussed

This lecture covers the different services we have discussed in the previous lectures.

14
Virtual Machines aka VM

Virtual machine (VM) is an emulation of a computer system. Virtual machines are based on computer architectures and provide functionality of a physical computer. Their implementations may involve specialized hardware, software, or a combination. 

15
Containers

Containers provide a standard way to package your application's code, configurations, and dependencies into a single object. 

16
Serverless

Serverless computing is a cloud-computing execution model in which the cloud provider runs the server, and dynamically manages the allocation of machine resources. Pricing is based on the actual amount of resources consumed by an application, rather than on pre-purchased units of capacity. 

17
Public Cloud and Private Cloud

The main difference between public and private clouds is that you aren't responsible for any of the management of a public cloud hosting solution. Your data is stored in the provider's data center and the provider is responsible for the management and maintenance of the data center. 

18
Hybrid Cloud

Hybrid cloud is a cloud computing environment that uses a mix of on-premises, private cloud and third-party, public cloud services with orchestration between the two platforms. 

19
Multi Cloud

Multi cloud is a strategy that leverages two or more cloud computing platforms.  

20
API's

API is the acronym for Application Programming Interface, which is a software intermediary that allows two applications to talk to each other. 

21
Definitions and Concepts Conclusion

This is the final lecture of the Definitions and Concepts for Cloud Computing

Cloud Data Warehouse

1
Introduction to Cloud Data Warehouse

In this lecture we talk about the various data structures and what is different to the traditional Data Warehouses.

2
Need of External Data Sources to an Enterprise Data Warehouse

In this lecture, we speak about the need of the external data sources to an Enterprise Data Warehouse.

3
What are some of the challenges with traditional Data Warehouse?

In this lecture, we discuss about the current challenges with traditional Data Warehouses.

4
How can Cloud technology help the Data Warehouse needs?

In this lecture we talk about the different features of cloud technology which can help the traditional Data Warehouses.

5
Types of Data Warehouse setup on Cloud

Let's discuss the different types of options for a Data Warehouse setup on Cloud.

6
Popular Cloud Data Warehouse providers in the market

Let's look at the popular cloud data warehouse providers in the market today

7
Questions to answer before considering the move from on-premise to Cloud

In this lecture we will see the questions to answer before considering the move from on-premise to Cloud.

8
Common Data Warehouse Use Cases for both traditional and cloud based set ups

In this lecture we talk about the Common Data Warehouse Use Cases for both traditional and cloud based set ups.

9
Which Cloud provider supports what use case?

In this lecture, we talk about the  cloud providers who supports the above use cases, discussed in the previous lectures.

10
Cloud based solutions for ETL and Reporting

In this lecture, we will look at the different Cloud based solutions for ETL and Reporting

11
Different Migration options at a high level

In this lecture, we talk about the different migration options at a very high level.

Architecture

1
Traditional Data Warehouse Architectures

This lecture talks about the different patters in the traditional Data Warehouses.

2
Amazon Redshift Cloud Data Warehouse Architecture

Amazon Redshift achieves efficient storage and optimum query performance through a combination of massively parallel processing, columnar data storage, and very efficient, targeted data compression encoding schemes. This lecture presents an introduction to the Amazon Redshift system architecture.

Bonus Section

1
Direct links to other courses

This section will provide you with the coupons for other courses.

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