Big Data diagrams and icons visuals: - Big Data definition 3V, 4V: Volume, Velocity, Variety, Veracity - Big Data New Business Opportunities: Mobile, Social media ... - Big Data Technologies: Software and Hardware - Data sizes table: Small, Large, Big data

1. Copyright: infoDiagram.comCopyright: infoDiagram.com
Illustrations toolbox
Volume Velocity
VeracityVariety
Social
media
Mobile
M2M
Big Data Diagrams

2. Copyright: infoDiagram.com
Big data is high volume,
high velocity, and/or high variety
information assets that require new
forms of processing to enable
enhanced decision making, insight
discovery and process optimization.
Doug Laney, Gartner, 2012
(@Doug_Laney)
Definition: Gartner’s 3V of Big Data

3. Copyright: infoDiagram.com
V V
V
Variety
Big data is high volume,
high velocity, and/or high variety
information assets that require new
forms of processing to enable
enhanced decision making, insight
discovery and process optimization.
Doug Laney, Gartner, 2012
(@Doug_Laney)
Definition: Gartner’s 3V of Big Data

4. Copyright: infoDiagram.com
3V of Big Data explained

5. Copyright: infoDiagram.com
Volume
Huge data size,
terabytes – petabytes
3V of Big Data explained
Data
Volume
Data
Variety
Data
Velocity
V
VV

6. Copyright: infoDiagram.com
Volume
Huge data size,
terabytes – petabytes
Velocity
High speed of data
flow, data change and
data processing
3V of Big Data explained
Data
Volume
Data
Variety
Data
Velocity
V
VV
V
VV

7. Copyright: infoDiagram.com
Volume
Huge data size,
terabytes – petabytes
Velocity
High speed of data
flow, data change and
data processing
Variety
Various data sources
(social, mobile, M2M,
structured and unstructured data)
3V of Big Data explained
Data
Volume
Data
Variety
Data
Velocity
V
VV
V
VV
V
VV

8. Copyright: infoDiagram.comCopyright: infoDiagram.com
This is part of IT presentations toolbox.
Your feedback is welcomed.
Just leave me a comment.

9. Copyright: infoDiagram.comCopyright: infoDiagram.com
This is part of IT presentations toolbox.
Your feedback is welcomed.
Just leave me a comment.
See more
presentation visuals at
infoDiagram.com

10. Copyright: infoDiagram.comCopyright: infoDiagram.com
Read on…
This is part of IT presentations toolbox.
Your feedback is welcomed.
Just leave me a comment.
See more
presentation visuals at
infoDiagram.com

11. Copyright: infoDiagram.com
Velocity
High speed of data
flow, change
and processing
Volume
Huge data size,
terabytes - petabytes
Variety
Various data sources (social,
mobile, M2M, structured
and unstructured data)
Extended definition: 4 Vs of Big Data
V V
V V

12. Copyright: infoDiagram.com
Velocity
High speed of data
flow, change
and processing
Volume
Huge data size,
terabytes - petabytes
Variety
Various data sources (social,
mobile, M2M, structured
and unstructured data)
Extended definition: 4 Vs of Big Data
V V
V V
Veracity
Various levels of data
uncertainty and reliability

13. Copyright: infoDiagram.com
Big Data Volume
• increasing data amount
• handling Terabytes – Petabytes
• 1 TB
= 1 000 000 000 000 bytes
= 1012bytes
= 1000 gigabytes
• 1 PB = 1 000 000 000 000 000 B
= 1015bytes
= 1000 terabytes
4 Vs of Big Data: Volume
Volume Velocity
VeracityVariety

14. Copyright: infoDiagram.com
Velocity of data processing
Need to process data in a fast way,
considering their huge amount (TB, PB)
and variety (distributed, mix of structured
and unstructured data)
E.g.
• Searching Twitter posts
• Fast analysis of video streams (Youtube),
• Image recognition (real-time augmented
reality, online photo faces recognition),
• Sound analysis (speech recognition)
• Text analysis (Internet search)
4 Vs of Big Data: Velocity
Volume Velocity
VeracityVariety

15. Copyright: infoDiagram.com
Huge variety of big data
• Data from various data sources
• Social media (Facebook, Twitter)
• Mobile data (location, texting)
• Machine to Machine systems
(GPS, logs, RFID…)
• Database systems
• Handling various data types
• Structured
• records in databases (customers,
billing, stock exchange data…),
Machine logs
• Unstructured
• free text, video, sounds
4 Vs of Big Data: Variety
Volume Velocity
VeracityVariety
Social
media
Mobile
M2M

16. Copyright: infoDiagram.com
Veracity of big data
Various data uncertainty and reliability
• Imprecision of data (especially of
unstructured data – e.g. text message can
have double meaning)
• Different level of data quality of structured
data (data values are certain and precise)
and unstructured data (fuzzy interpreting
of images, free text, speech wording …)
• Technical data quality issues (various
formats, source availability, updates)
4 Vs of Big Data: Veracity
Volume Velocity
VeracityVariety

17. Copyright: infoDiagram.com
Big Data: Application areas
Big Data
Applications

18. Copyright: infoDiagram.com
Big Data: Application areas
Big Data
Applications
Banks
& Insurance

19. Copyright: infoDiagram.com
Big Data: Application areas
Big Data
Applications
Banks
& Insurance
Healtcare
& Research

20. Copyright: infoDiagram.com
Big Data: Application areas
Big Data
Applications
Banks
& Insurance
Healtcare
& Research
Telco

21. Copyright: infoDiagram.com
Big Data: Application areas
Big Data
Applications
Banks
& Insurance
Healtcare
& Research
Telco
Energy
& Utilities

22. Copyright: infoDiagram.com
Big Data: Application areas
Big Data
Applications
Banks
& Insurance
Healtcare
& Research
Telco
Energy
& Utilities
Automotive
production

23. Copyright: infoDiagram.com
Big Data: Application areas
Big Data
Applications
Banks
& Insurance
Healtcare
& Research
Telco
Energy
& Utilities
Automotive
production
Retail

24. Copyright: infoDiagram.com
Big Data Opportunities & Infrastructure
Business Opportunities
Technology Infrastructure
Big Data

25. Copyright: infoDiagram.com
Business Opportunities
Big Data Opportunities & Infrastructure
HardwareSoftware
Technology Infrastructure
Big Data

26. Copyright: infoDiagram.com
Big Data Opportunities & Infrastructure
HardwareSoftware
New products Cheaper operations
Business Opportunities
Technology Infrastructure
Big Data

27. Copyright: infoDiagram.com
Business Opportunities of Big Data
New products Cheaper operations
Business Opportunities
Big Data
Localization
services
Mobile
services
Social media
services
Augmented
reality
Realtime
information
…

28. Copyright: infoDiagram.com
Business Opportunities of Big Data
New products Cheaper operations
Business Opportunities
Big Data
IT in the cloud
(e.g. salesforce.com,
Google docs, Microsoft
Office 365…)

29. Copyright: infoDiagram.com
Technology Infrastructure of Big Data
HardwareSoftware
Technology Infrastructure
Big Data
Data Analytics &
Visualizations, BI
• Qlikview, Tableau,
SAS, GoodData …
Databases
• Oracle, IBM, Cloudera,
HortonWorks, EMC2,
AWS, Windows Azure
Technologies
• Hadoop
• MapReduce
• NoSQL
• Apache HBase

30. Copyright: infoDiagram.com
Big Data: Technology areas
Big
Data

31. Copyright: infoDiagram.com
Big Data: Technology areas
Cloud
apps
& tech
Big
Data

32. Copyright: infoDiagram.com
Big Data: Technology areas
Cloud
apps
& tech
SaaS
Software as a
Service
Big
Data

33. Copyright: infoDiagram.com
Examples Characteristics Typical tools
Analytical
methods
Small Data
(megabytes)
Sales records,
Customers
database (small
and medium
companies)
Hundreds –
thousands of
records
Personal computer,
Excel, R, other
basic statistics
software
Simple statistics
Data sizes
Examples Characteristics Typical tools
Analytical
methods

34. Copyright: infoDiagram.com
Examples Characteristics Typical tools
Analytical
methods
Small Data
(megabytes)
Sales records,
Customers
database (small
and medium
companies)
Hundreds –
thousands of
records
Personal computer,
Excel, R, other
basic statistics
software
Simple statistics
Large Data
(gigabytes-
terabytes)
Customer
databases (big
companies)
Millions of records,
mostly structured
data
Server workstation
computer,
Relational
database systems,
data warehouses
Advanced
statistics, business
intelligence, data
mining,
Data sizes
Examples Characteristics Typical tools
Analytical
methods

35. Copyright: infoDiagram.com
Examples Characteristics Typical tools
Analytical
methods
Small Data
(megabytes)
Sales records,
Customers
database (small
and medium
companies)
Hundreds –
thousands of
records
Personal computer,
Excel, R, other
basic statistics
software
Simple statistics
Large Data
(gigabytes-
terabytes)
Customer
databases (big
companies)
Millions of records,
mostly structured
data
Server workstation
computer,
Relational
database systems,
data warehouses
Advanced
statistics, business
intelligence, data
mining,
Big Data
(terabytes –
petabytes)
Customer
interactions (social
media, mobile),
multimedia (video,
images, free text),
location-based
data, RFIM
Over millions of
records,
distributed,
unstructured
Cloud, data
centers,
Distributed
databases, NoSQL,
Hadoop
MapReduce,
Distributed File
Systems
Data sizes
Examples Characteristics Typical tools
Analytical
methods

36. Copyright: infoDiagram.comCopyright: infoDiagram.com
Presenting
on Big Data
topics?

37. Copyright: infoDiagram.comCopyright: infoDiagram.com
Presenting
on Big Data
topics?
Check our
Big Data Visuals
PPT Toolbox
(click here to see full set at
infoDiagram.com)

38. Copyright: infoDiagram.comCopyright: infoDiagram.com
Follow us on Slideshare for more presentations,
hit FOLLOW on slideshare.net/infodiagramFollow
Suggestions? Cooperation?
Contact us
www.infoDiagram.com
twitter: @infoDiagram

39. Copyright: infoDiagram.comCopyright: infoDiagram.com
Follow us on Slideshare for more presentations,
hit FOLLOW on slideshare.net/infodiagramFollow
Suggestions? Cooperation?
Contact us
www.infoDiagram.com
twitter: @infoDiagram
Try free sample
of editable PPT graphics