Un estudio reportado por la Harvard Business Review muestra las tres estrategias encontradas para explotar totalmente las capacidades de Big Data y Analytics en una organización, estas son: 1) identificar, combinar y manejar múltiples fuentes de datos. 2) Construir modelos analíticos avanzados para predecir y optimizar resultados. 3) Transformar las capacidades de la organización de tal forma que los datos utilizados y el análisis de los mismos lleven a tomar mejores decisiones. El modelo de Cloud computing sirve para cada uno de las capacidades anteriormente mencionadas.

1. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Cloud Computing: Trends and Challenges
Cesar Diaz. PhD
November 26, 2015
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

2. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
First a brief intro
Cloud Definition
Cloud Computing Definition
Cloud Service Model
Cloud Abstraction Layers
Cloud Deployment Models
Majors actors in Cloud Computing
Interactions between the Actors in Cloud Computing
Cloud Computing Market
Big Data on Cloud Computing
Data management and supporting architectures
Model development and scoring
Challenges in Big Data
Challenges in IoT
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

3. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Want milk with your breakfast?1
Buy a Cow.
Big upfront cost. Buy bottled milk.
1
taken from Prof. Daniel Abadi presentation, Yale University.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

4. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Want milk with your breakfast?1
Buy a Cow.
Big upfront cost.
Produces more (or less)
milk than you need.
Buy bottled milk.
1
taken from Prof. Daniel Abadi presentation, Yale University.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

5. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Want milk with your breakfast?1
Buy a Cow.
Big upfront cost.
Produces more (or less)
milk than you need.
Uses up resources.
Buy bottled milk.
1
taken from Prof. Daniel Abadi presentation, Yale University.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

6. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Want milk with your breakfast?1
Buy a Cow.
Big upfront cost.
Produces more (or less)
milk than you need.
Uses up resources.
Time spent
“maintaining it”
Buy bottled milk.
1
taken from Prof. Daniel Abadi presentation, Yale University.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

7. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Want milk with your breakfast?1
Buy a Cow.
Big upfront cost.
Produces more (or less)
milk than you need.
Uses up resources.
Time spent
“maintaining it”
Unpleasant waste
product.
Buy bottled milk.
1
taken from Prof. Daniel Abadi presentation, Yale University.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

8. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Want milk with your breakfast?1
Buy a Cow.
Big upfront cost.
Produces more (or less)
milk than you need.
Uses up resources.
Time spent
“maintaining it”
Unpleasant waste
product.
Buy bottled milk.
Continued cost.
1
taken from Prof. Daniel Abadi presentation, Yale University.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

9. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Want milk with your breakfast?1
Buy a Cow.
Big upfront cost.
Produces more (or less)
milk than you need.
Uses up resources.
Time spent
“maintaining it”
Unpleasant waste
product.
Buy bottled milk.
Continued cost.
Buy what you need.
1
taken from Prof. Daniel Abadi presentation, Yale University.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

10. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Want milk with your breakfast?1
Buy a Cow.
Big upfront cost.
Produces more (or less)
milk than you need.
Uses up resources.
Time spent
“maintaining it”
Unpleasant waste
product.
Buy bottled milk.
Continued cost.
Buy what you need.
Less resource intensive.
1
taken from Prof. Daniel Abadi presentation, Yale University.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

11. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Want milk with your breakfast?1
Buy a Cow.
Big upfront cost.
Produces more (or less)
milk than you need.
Uses up resources.
Time spent
“maintaining it”
Unpleasant waste
product.
Buy bottled milk.
Continued cost.
Buy what you need.
Less resource intensive.
no maintenance.
1
taken from Prof. Daniel Abadi presentation, Yale University.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

12. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Want milk with your breakfast?1
Buy a Cow.
Big upfront cost.
Produces more (or less)
milk than you need.
Uses up resources.
Time spent
“maintaining it”
Unpleasant waste
product.
Buy bottled milk.
Continued cost.
Buy what you need.
Less resource intensive.
no maintenance.
Waste somebody else’s
problems.
1
taken from Prof. Daniel Abadi presentation, Yale University.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

13. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Your computer is a cow
Your computer
Big upfront cost.
Produces more (or less) “milk”
than you need.
Uses up resources (electricity).
Time spent maintaining it.
Produces unpleasant
waste (heat, noise)
What if you could get computing
power even more conveniently
than bottled milk?
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

14. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Cloud computing is Bottled Milk
Companies willing to rent
computing resources from their
data centers.
Resources include storage,
processing cycles, software stacks.
Google, Microsoft, Amazon, Sun,
Hewlett-Packard, Yahoo, EMC,
and AT&T all taking part.
e.g., for $0.10/hour Amazon will
give you:
1.7 GB memory
Equivalent of 1.2 GHz processor
350GB storage
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

15. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Cloud computing concerns
What if my data or service provider becomes unavailable?
What if my supplier suddenly increases, how much they
charge me?
What about security?
What about lock in?
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

16. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Cloud Computing Definition
Cloud Service Model
Cloud Deployment Models
Majors actors in Cloud Computing
Preliminaries
User%
User%
User%
User%
User%
User%
PC%
PC%
PC%
PC%
PC%
PC%
Terminal%
Mainframe%
Server%
Server%
Internet%
Server%
Server%
Server%
Server%
Cloud%
Compu8ng%
Laptop%
1. Mainframe%
Compu8ng%
2. PC%
Compu8ng%
3. Network%
Compu8ng%
4. Internet%
Compu8ng%
5. Grid%
Compu8ng%
6. Cloud%
Compu8ng%
Adapted from Voas and Zhang2
, shows six phases of computing
paradigms, from dummy terminals/mainframes, to PCs, networking
computing, to grid and cloud computing.
2
Jeffrey Voas and Jia Zhang. Cloud computing: New wine or just a new bottle?, 11(2):1517, March 2009.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

17. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Cloud Computing Definition
Cloud Service Model
Cloud Deployment Models
Majors actors in Cloud Computing
Cloud Computing Definition
NIST - Visual Model of Cloud Computing Definition3
http://clean-clouds.com/2012/12/07/nist-visual-model-of-cloud-computing-definition/
3
“Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool
of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly
provisioned and released with minimal management effort or service provider interaction”
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

18. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Cloud Computing Definition
Cloud Service Model
Cloud Deployment Models
Majors actors in Cloud Computing
Software Stack Model
Packaged(
So+ware(
Applica2ons(
Data(
Middleware(
O/S(
Virtualiza2on(
Hardware(
Infrastructure(
(as(a(service)(
Applica2ons(
Data(
Middleware(
O/S(
Virtualiza2on(
Hardware(
PlaCorm(
(as(a(service)(
Applica2ons(
Data(
Middleware(
O/S(
Virtualiza2on(
Hardware(
So+ware(
(as(a(service)(
Applica2ons(
Data(
Middleware(
O/S(
Virtualiza2on(
Hardware(
You(manage(
You(manage(
You(manage(
Managed((
by(vendor(
Managed(by(vendor(
Managed(by(vendor(
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

19. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Cloud Computing Definition
Cloud Service Model
Cloud Deployment Models
Majors actors in Cloud Computing
Cloud Abstraction Layers
Business'
process'
• Business'orchestra0on'
So2ware'
SaaS'
• Gmail'
• Office365'
Pla=orm'
PaaS'
• Google'cloud'
• Container'based'approach'
Infrastructure'
IaaS'
• Amazon'web'services'
• Virtual'machines'
Hardware'
HaaS'
• Real'hardware'
• Hos0ng'
Cloud'abstrac0on'layers'
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

20. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Cloud Computing Definition
Cloud Service Model
Cloud Deployment Models
Majors actors in Cloud Computing
Cloud Deployment Models
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

21. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Cloud Computing Definition
Cloud Service Model
Cloud Deployment Models
Majors actors in Cloud Computing
Actors in Cloud Computing
Table: Actors in Cloud Computing
Actor Definition
Cloud consumer A person or organization that maintains a business relationship with, and uses service
from, Cloud Providers
Cloud Provider A person, organization or entity responsible for making a service available to interested
parties.
Cloud Auditor A party that can conduct independent assessment of cloud services, information system
operations, performance and security of the cloud implementation.
Cloud Broker An entity that manages the use, performance and delivery of cloud services, and ne-
gotiates relationship between Cloud providers and Cloud Consumers.
Cloud Carrier An intermediary that provides connectivity and transport of cloud from Cloud Providers
to Cloud Consumers.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

22. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Cloud Computing Definition
Cloud Service Model
Cloud Deployment Models
Majors actors in Cloud Computing
Interactions between the Actors in Cloud Computing
Cloud&Consumer&
Cloud&Broker& Cloud&Provider&
Cloud&Auditor&
The&communica7on&path&between&a&cloud&provider&and&a&cloud&consumer&
&
The&communica7on&paths&for&a&cloud&auditor&to&collect&audi7ng&informa7on&
&
The&communica7on&paths&for&a&cloud&broker&to&provide&service&to&a&cloud&consumer&
Cloud&carrier&
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

23. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Cloud Computing Market
Cloud Computing Market: $241 billion in 2020
http://www.zdnet.com/blog/btl/cloud-computing-market-241-billion-in-2020/47702
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

24. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Data management and supporting architectures
Model development and scoring
Challenges in Big Data
Challenges in IoT
Big Data on Cloud Computing
Previous work has focused on issues such as data formats,
data representation, storage, access, privacy, and data quality.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

25. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Data management and supporting architectures
Model development and scoring
Challenges in Big Data
Challenges in IoT
Big Data on Cloud Computing
Previous work has focused on issues such as data formats,
data representation, storage, access, privacy, and data quality.
Now focus on Cloud Analytics, that concern data
management, integration and processing. Analytics as a
Service.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

26. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Data management and supporting architectures
Model development and scoring
Challenges in Big Data
Challenges in IoT
Big Data on Cloud Computing
Previous work has focused on issues such as data formats,
data representation, storage, access, privacy, and data quality.
Now focus on Cloud Analytics, that concern data
management, integration and processing. Analytics as a
Service.
Environments for carrying out analytics on Clouds for Big
Data applications.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

27. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Data management and supporting architectures
Model development and scoring
Challenges in Big Data
Challenges in IoT
Big Data on Cloud Computing
Previous work has focused on issues such as data formats,
data representation, storage, access, privacy, and data quality.
Now focus on Cloud Analytics, that concern data
management, integration and processing. Analytics as a
Service.
Environments for carrying out analytics on Clouds for Big
Data applications.
Data management and
supporting architectures.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

28. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Data management and supporting architectures
Model development and scoring
Challenges in Big Data
Challenges in IoT
Big Data on Cloud Computing
Previous work has focused on issues such as data formats,
data representation, storage, access, privacy, and data quality.
Now focus on Cloud Analytics, that concern data
management, integration and processing. Analytics as a
Service.
Environments for carrying out analytics on Clouds for Big
Data applications.
Data management and
supporting architectures.
Model development and
scoring.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

29. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Data management and supporting architectures
Model development and scoring
Challenges in Big Data
Challenges in IoT
Big Data on Cloud Computing
Previous work has focused on issues such as data formats,
data representation, storage, access, privacy, and data quality.
Now focus on Cloud Analytics, that concern data
management, integration and processing. Analytics as a
Service.
Environments for carrying out analytics on Clouds for Big
Data applications.
Data management and
supporting architectures.
Model development and
scoring.
Visualization and user
interaction.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

30. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Data management and supporting architectures
Model development and scoring
Challenges in Big Data
Challenges in IoT
Big Data on Cloud Computing
Previous work has focused on issues such as data formats,
data representation, storage, access, privacy, and data quality.
Now focus on Cloud Analytics, that concern data
management, integration and processing. Analytics as a
Service.
Environments for carrying out analytics on Clouds for Big
Data applications.
Data management and
supporting architectures.
Model development and
scoring.
Visualization and user
interaction.
Business models.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

31. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Data management and supporting architectures
Model development and scoring
Challenges in Big Data
Challenges in IoT
Big Data on Cloud Computing
Previous work has focused on issues such as data formats,
data representation, storage, access, privacy, and data quality.
Now focus on Cloud Analytics, that concern data
management, integration and processing. Analytics as a
Service.
Environments for carrying out analytics on Clouds for Big
Data applications.
Data management and
supporting architectures.
Model development and
scoring.
Visualization and user
interaction.
Business models.
Based on the traditional analytics workflow.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

32. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Data management and supporting architectures
Model development and scoring
Challenges in Big Data
Challenges in IoT
Overview of the analytics workflow for Big Data 4
4
taken from MD Assuncao, et al., Big Data computing and clouds: Trends
and future directions, J. Parallel Distrib. Comput. (2014)
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

33. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Data management and supporting architectures
Model development and scoring
Challenges in Big Data
Challenges in IoT
Data management and supporting architectures
Preparation of data for analysis.
Some ‘Vs’ of Big Data
Variety: Data Types
Structured: Formal
scheme and data
models.
Unstructured: No
predefined data model.
Semi-structured:
Lacks strict data model
structure.
Mixed: Various type
together
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

34. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Data management and supporting architectures
Model development and scoring
Challenges in Big Data
Challenges in IoT
Data management and supporting architectures
Preparation of data for analysis.
Some ‘Vs’ of Big Data
Variety: Data Types
Structured: Formal
scheme and data
models.
Unstructured: No
predefined data model.
Semi-structured:
Lacks strict data model
structure.
Mixed: Various type
together
Velocity: Data production
and processing speed.
Speed of arrival and
processing.
Batch: at time
intervals.
Near-time: at small
times intervals.
Real-time: Continuos
input, process, output.
Streams: Data flows
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

35. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Data management and supporting architectures
Model development and scoring
Challenges in Big Data
Challenges in IoT
Data management and supporting architectures
Some ‘Vs’ of Big Data
Volume: Data size.
Google File System
(GFS).
Amazon Simple Storage
Service (S3).
Nirvanix Cloud Storage.
OpenStack Swift.
Windows Azure Binary
Large Object (Blob)
storage.
Veracity: Data reliability
and trust.
Data integrations solutions
Value: Worth derived
from exploiting Big Data.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

36. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Data management and supporting architectures
Model development and scoring
Challenges in Big Data
Challenges in IoT
Model development and scoring
Use the data to build models that can be utilized for forecasts and
prescriptions. Existing work has discussed means to offload such
activities termed here as model building and scoring to Cloud
providers and ways to parallelize certain machine learning
algorithms.
Work Goal Service model Deployment model
Guazelli et al. Predictive analytics (socring) IaaS Public
Zementis Data analysis and model building SaaS Public or private
Google Prediction API Model building SaaS Public
Apache Mahout Data analysis and model building IaaS Any
Hazy Model building IaaS Any
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

37. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Data management and supporting architectures
Model development and scoring
Challenges in Big Data
Challenges in IoT
Model development and scoring
Google prediction API allows users to create ML models to
predict numeric values for a new item based on values of
previously submitted training data.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

38. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Data management and supporting architectures
Model development and scoring
Challenges in Big Data
Challenges in IoT
Model development and scoring
Google prediction API allows users to create ML models to
predict numeric values for a new item based on values of
previously submitted training data.
The Apache Mahout project aims to provide tools to build
scalable machine learning libraries on top of Hadoop using the
MapReduce paradigm.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

39. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Data management and supporting architectures
Model development and scoring
Challenges in Big Data
Challenges in IoT
Model development and scoring
Google prediction API allows users to create ML models to
predict numeric values for a new item based on values of
previously submitted training data.
The Apache Mahout project aims to provide tools to build
scalable machine learning libraries on top of Hadoop using the
MapReduce paradigm.
The Hazy project focuses on identifying and validating two
categories of abstractions in building trained systems, namely
programming abstractions and infrastructure abstractions.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

40. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Data management and supporting architectures
Model development and scoring
Challenges in Big Data
Challenges in IoT
Sumarize
Data Management: Performing analytics on large volumes of
data requires efficient methods to store, filter, transform, and
retrieve the data.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

41. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Data management and supporting architectures
Model development and scoring
Challenges in Big Data
Challenges in IoT
Sumarize
Data Management: Performing analytics on large volumes of
data requires efficient methods to store, filter, transform, and
retrieve the data.
Model Development and Scoring: build models that can be
utilized for forecasts and prescriptions.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

42. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Data management and supporting architectures
Model development and scoring
Challenges in Big Data
Challenges in IoT
Sumarize
Data Management: Performing analytics on large volumes of
data requires efficient methods to store, filter, transform, and
retrieve the data.
Model Development and Scoring: build models that can be
utilized for forecasts and prescriptions.
Visualization and user interaction: The type of visualization
may need to be selected according to the amount of data to
be displayed, to improve both displaying and performance.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

43. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Data management and supporting architectures
Model development and scoring
Challenges in Big Data
Challenges in IoT
Sumarize
Data Management: Performing analytics on large volumes of
data requires efficient methods to store, filter, transform, and
retrieve the data.
Model Development and Scoring: build models that can be
utilized for forecasts and prescriptions.
Visualization and user interaction: The type of visualization
may need to be selected according to the amount of data to
be displayed, to improve both displaying and performance.
Business Models: providing tools that customers can use to
build their Big Data analytics solutions on the Cloud, models
for delivering analytics capabilities as services on a Cloud.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

44. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Data management and supporting architectures
Model development and scoring
Challenges in Big Data
Challenges in IoT
Challenges in IoT
Transport.
Smart Home.
Smart City.
Smart Factory.
Emergency.
Health Care.
Lifestyle.
Agriculture.
Culture and Tourism.
User Interaction.
Environment.
Energy.
Cesar Diaz. PhD Cloud Computing: Trends and Challenges

45. Outline
First a brief intro
Cloud Definition
Cloud Computing Market
Big Data on Cloud Computing
Data management and supporting architectures
Model development and scoring
Challenges in Big Data
Challenges in IoT
Cesar Diaz. PhD Cloud Computing: Trends and Challenges