The document discusses various sources of big data that can be used for data mining. It describes how media such as social media platforms generate valuable consumer insights. It also explains how cloud storage accommodates both structured and unstructured data and provides real-time information. Finally, it lists additional sources like the internet of things, web data, databases, and legacy documents that can be tapped into for big data.

1. Data Mining
Sources
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2. www.company.com
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Media
Media is the most popular source of big data, as it
provides valuable insights on consumer preferences &
changing trends
Media includes social media and interactive
platforms, like Google, Facebook, Twitter, YouTube,
Instagram
Generic media like images, videos, audios, and
podcasts that provide quantitative and qualitative
insights on every aspect of user interaction
2

3. Cloud
www.company.com 3
In this era, companies have moved ahead
of traditional data sources by shifting
their data on the cloud
Cloud storage accommodates structured &
unstructured data & provides business with
real-time information & on-demand insights.
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The main attribute of cloud computing is its flexibility & scalability

4. www.company.com 4
Web
The public web
constitutes big
data that is
widespread &
easily accessible.
Data on the Web or ‘Internet’ is
commonly available to individuals
& companies alike. Moreover,
web services such as Wikipedia
provide free & quick informational
insights to everyone
The enormity of
the Web ensures
for its diverse
usability
01 02 03
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5. Internet of Things
www.company.com 5
Machine-generated
content or data created
from IoT constitute a
valuable source of big data
This data is usually
generated from the sensors
that are connected to
electronic devices
Internet of
Things
IoT is now gaining momentum and includes big data generated, not only from computers and smartphones, but also possibly from every device that can emit data
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6. www.company.com
Databases
Businesses today prefer to use an amalgamation
of traditional & modern databases to acquire
relevant big data
This integration paves the way for a hybrid data
model and requires low investment and IT
infrastructural costs.
These databases can then provide for the
extraction of insights that are used to drive
business profits.
Popular databases include a variety of data
sources, such as MS Access, DB2, Oracle,
SQL, & Amazon Simple, among others.
6
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7. Social Network Profiles
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Tapping user profiles from Facebook,
LinkedIn, Yahoo, Google, and specific-
interest social or travel sites, to cull
individuals’ profiles and demographic
information, and extend that to capture
their hopefully-like-minded networks
Your Text Here
This requires a fairly straightforward
API integration for importing pre-
defined fields and values – for example,
a social network API integration that
gathers every B2B marketer on Twitter
Your Text Here
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8. Social Influencers
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Review Sites Analyst Reports
Twitter & Facebook
“Likes,”
Other Review-centric Sites
Like Apple’s App Store,
Amazon, Zdnet, Etc
Editor Posts
Yelp-style Catalog Subject-matter Experts
Blog Comments
User Forums
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9. Activity-Generated Data
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Text Here 01
Computer and mobile device
log files i.e. “The Internet of
Things.”
Text Here 02
This category includes web site
tracking information, application
logs, and sensor data – such as
check-ins and other location
tracking – among other machine-
generated content
Text Here 03
The data generated by the
processors found within
vehicles, video games, cable
boxes or, soon, household
appliances
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10. www.company.com 10
Data Warehouse
Appliances
Teradata, IBM Netezza, EMC Greenplum, etc. are
collecting from operational systems the internal,
transactional data that is already prepared for
analysis
These will likely become an integration target
that will assist in enhancing the parsed and
reduced results from your Big Data installation
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11. Big Data Sources
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Network and in-stream
Monitoring Technologies
Data Warehouse
Appliances
Activity Generated
Data
Social
Influencers
Social Network
Profiles
Databases
Big Data
Sources
Legacy Documents
Media
Cloud
Web
Internet of Things
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12. Network and in - Stream Monitoring Technologies
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Packet
Evaluation
Email
Parsers
Distributed Query
Processing-like
Applications
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13. Legacy Documents
www.company.com 13
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Archives of
Statements
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Insurance
Forms
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Medical
Record
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Customer
Correspondence
There are Still Multiple Untapped Resources. Some of Them are
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14. Data Mining Sources Icon Slide
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15. www.company.com 15
Additional
Slides

16. www.company.com 16
Column
Chart
Product 01
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Product 02
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0
10
20
30
40
50
60
70
80
90
100
Jan Feb Mar Apr May Jun
Salesinpercentage(%)
(Financial year in 2018)
98%
This graph/chart is linked to excel, and changes automatically based on data. Just left click on it and select “Edit Data”.

17. www.company.com 17
Stacked
Column
Product 01
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Product 02
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20 30 40 50
70 80 90
110
130
40
60
80
100
120
140
150
160
170
0
50
100
150
200
250
300
2009 2010 2011 2012 2013 2014 2015 2016 2017
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18. www.company.com 18
Stacked
Bar
Product 01
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Product 02
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50%
65%
-15%
-9%
40%
50%
-19%
-2%
-30% -20% -10% 0% 10% 20% 30% 40% 50% 60% 70%
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19. www.company.com 19
Clustered
Column - Line
Product 01
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Product 02
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0.00%
100.00%
200.00%
300.00%
400.00%
500.00%
600.00%
2014 2015 2016 2017
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20. Financial
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Revenue
$205
Billion Billion
Deposits
$ 345
Billion
Net Income
$ 234
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21. “A True Piece Of
Writing Is A
Dangerous Thing
, It Can Change
Your Life.”-Tobias Wolff
Quotes
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22. Dashboard
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50
100
0
High
50
100
0
MediumLow
50
100
0
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23. Location
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24. Timeline
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2016
Your Text Here
2017
Your Text Here
2018
Your Text Here
Your Text
Here
Your Text
Here

25. www.company.com 25
Address:
# street number, city, state
Contact Numbers:
0123456789
Email Address:
emailaddress123@gmail.com
Thank
You