This document discusses Data as a Service (DaaS) in cloud computing. It defines DaaS and explains that it allows users to access data stored in the cloud from any location. The document outlines the components, architecture, pricing models, benefits and drawbacks of DaaS. It provides examples of companies that offer DaaS like Google, Windows Azure, and Amazon.
Exploring the Future Potential of AI-Enabled Smartphone Processors
Data as a service
1. Data as a Service (DaaS)
In Cloud Computing
Presented by,
Khushbu M.
Joshi
2. Agenda
Introduction
Components Of Cloud Computing
Data as a Service (DaaS)
DaaS Architecture
DaaS: Pricing Model
Traditional Approach Vs. DaaS
Benefits
Drawbacks
Demonstration of how google provides
DaaS
References
3. Introduction
Cloud Services
◦ Consumer and business products,
services and solutions that are delivered
and consumed in real-time over the
internet
Cloud Computing
◦ Delivery of computing as a service rather
than product.
◦ An emerging IT development, deployment
and delivery model that enables real-time
delivery of broad range of IT products,
services and solutions over the internet
4. Components Of Cloud
Computing
IaaS (Infrastructure as a Service)
◦ Consumers control and manage the
systems in terms of the operating
systems, applications, storage, and
network connectivity, but do not
themselves control the cloud
infrastructure.
5. PaaS (Platform as a Service)
◦ Consumers purchase access to the
platforms, enabling them to deploy their
own software and applications in the
cloud.
SaaS (Software as a Service)
◦ Consumers purchase the ability to access
and use an application or service that is
hosted in the cloud.
6. Data as a Service
A service provider that enables data
access on demand to users regardless
of their geographic location.
Similar to SaaS
Information is stored in the cloud and is
accessible by a wide range of systems
and devices
Two ways to use data-as-a-service:
◦ by outsourcing your own data or
◦ taking advantage of public data managed by
a third party
7. DaaS is other offering service from
Cloud providers to its client to use
provider's database infrastructure on
the basis of what they use.
Instead of spending money on setting
up of database environment on your
premises, we can take the benefit of
provider's database cloud.
8. The sites that provides data as a
service
Google
Windows Azure
Amazon
10. Gather:
◦ Includes retrieving and organizing data
input files of different formats.
Process:
◦ Shapes the data through normalizing and
prepares specialized views of the data.
Publish:
◦ Uses maps to extract data from the
RDBMS into a variety of formats that are
consumed by the end users.
11. Pervasive Data Integrator:
◦ is a graphical alternative to shell or
Python scripting that provides logging and
configuration services to Map Designer.
◦ Used in typical loading and transforming
process
◦ Prvesive’s map designer creates code of
map
◦ Stored procedures are invoked by
Pervasive Process Designer.
12. DaaS: Pricing Model
1. Volume-based Model
a. Quantity-based pricing and
b. Pay per call
2. Data type-based Model
13. Traditional Approach Vs.
DaaS
Data As Goods Data As Service
Bulk onetime download Dynamic access
Dated with the time of download Always latest update
Need for storage Storage is provided
Complex access when a large Easy and simple access and views
amount of data
14. Benefits
Agility
Cost-effectiveness
Data quality
Faster/ Easy access
Larger storage
Large number of users
Scalability/ Flexibility
Reliability
Maintenance
15. Drawbacks
Reliance of the customer on the
service provider's ability to avoid
server downtime
Generally data is not available for
download
