By: Milind Zodge
Big Data
Agenda
2
Agenda
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01
Agenda
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02
Agenda
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Agenda
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04
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05
Agenda
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06
Milind Zodge
What is Big Data
3
Big data is characterized by large
volumes of different types of data (e.g.
Social, web, transaction, etc.) That
builds very quickly.
It exceeds the reach of commonly used
hardware environments and software
tools to capture, manage and process
in a timely manner for its users.
Big Data
Milind Zodge
How Big is Big Data
4
Number of emails
sent every second
2.9 Million
Data consumed by
households each
day
375 Megabytes
Video upload to
YouTube every
minute
20 Hours
Data per day
processed by Google
24 Petabytes
Tweets per day
50 Million
Total minutes spent on
Facebook each month
700 Billion
Data sent and
received by mobile
internet users
1.3 Exabytes
Products ordered
on amazon per
second
72.9 Items
Milind Zodge
Big Data Market Forecast
5
$32.1
$48.0
$ 5.1
$10.2
$16.8
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2020
04
2021
05
2017
01
2018
02
2019
03
Milind Zodge
Sources of Big Data
6
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needs and capture your audience’s attention.
Click stream
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needs and capture your audience’s attention.
Social network
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needs and capture your audience’s attention.
Sensors
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needs and capture your audience’s attention.
Html
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needs and capture your audience’s attention.
Images & Media
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needs and capture your audience’s attention.
Database
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needs and capture your audience’s attention.
Locations
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Email
Milind Zodge
Sources of Big Data
7
Media
Media and
communication
outlets (articles,
podcasts, audio,
video, email,
blogs)
Social
Digital material
created by social
media (text,
photos, videos,
tweets)
Machine
Data generated
by computers
and machines
generally without
human
intervention
(business
process logs,
sensors, phone
calls)
Historical
Data about our
environment
(weather, traffic,
census) and
archived
documents,
forms or records
Milind Zodge
3 Vs of Big Data
8
3 Vs of
Big Data
Volume
Variety
Velocity
 Terabytes
 Records
 Transactions
 Tables, files
 Batch
 Near time
 Semi structured
 Streams
 Structured
 Unstructured
 Semi structured
 All the above
Milind Zodge
Objective of Big Data
9
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Analyzing customer
behavior
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it to your needs and capture your
audience's attention.
Combining multiple data
sources
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it to your needs and capture your
audience's attention.
Improving customer
service
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it to your needs and capture your
audience's attention.
Generate additional
revenue
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it to your needs and capture your
audience's attention.
Be more responsive to the
market
Objective of
Big Data
Milind Zodge
Big Data Technologies
10
Machine learning
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it to your needs and capture your
audience’s attention.
Crowd sourcing
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it to your needs and capture your
audience’s attention.
Natural language
processing
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it to your needs and capture your
audience’s attention.
Genetic algorithm
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audience’s attention.
Simulation
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audience’s attention.
Data fusion
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audience’s attention.
Signal processing
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audience’s attention.
Time series
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audience’s attention.
Data integration
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audience’s attention.
Big Data
Technologies
Milind Zodge
Big Data Workflow
11
Email
Click
stream
Html
Social
Location
Database
Sensor
data
Images
Actionable intelligence
Big Data
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Milind Zodge
Four Phases of Big Data
12
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Decide
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audience's attention.
Design
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audience's attention.
Deposit
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audience's attention.
Discover
04
01
03
02
Milind Zodge
Forms/ Type of Big Data
13
Structured
01
Enterprise
systems
Data
warehouses
Databases
Unstructured
02
Audio/ video
streams
Analog data
GPS tracking
information
Semi-Structured
03
Xml
E- Mail
EDI
Data that does not reside in
fixed locations generally
refers to free-form text,
which is ubiquitous.
Data that resides in fixed
fields within a record or file.
Between the tow forms
where “tags” or “structure”
are associated or embedded
within unstructured data.
Milind Zodge
Data Analytics Process
14
Data
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Decision
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attention.
Info
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attention.
Insight
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capture your audience’s
attention.
Milind Zodge
Impact of Big Data
15
Sports predictions
Big data was used in 2012 to famously
predict the US would win 108 medals
in the summer Olympics. They won
104.
Easier commutes
Big data streamlines traffic, using data
from GPS systems. Traffic lights now react
to traffic conditions, weather & accidents.
Smartphones
Smartphone users utilize big data
when asking for directions &
verbally asking their phone
questions.
Advanced healthcare
Big data is used to predict
where outbreaks of potentially
epidemic viruses will occur.
Presidential campaigns
Statistician Nate silver used big
data to predict the outcome of the
2012 presidential election.
Personalized advertising
Big data is used to recommend
purchases & personalized ads
more relevant.
How is Big
Data ?
Milind Zodge
Benefits of Big Data
16
Better business
decision
making
Improved
customer
experience and
engagement
Achieved
financial savings
Increased
efficiency
30% 50% 70% 90%
Milind Zodge
Future of Big Data
17
Milind Zodge
Big Data Opportunities and Challenges
18
30%
30% of companies looking for skills
in advanced analytics/ predictive
analytics in the next 12 months.
55%
55% of companies looking for skills
in advanced analytics/ predictive
analytics in the next 12 months.
75%
75% of companies looking for skills
in advanced analytics/ predictive
analytics in the next 12 months.
This Slide Is 100% editable. Adapt It To
your needs and capture your audience’s
attention.
This Slide Is 100% editable. Adapt It To
your needs and capture your audience’s
attention.
This Slide Is 100% editable. Adapt It To
your needs and capture your audience’s
attention.
Milind Zodge
19
• External data coming from various data vendors like weather data, stock data
• Have to worry about streaming hot data load
• Structured cold data coming from ERP systems
• Running big batch data load one a month
• Unstructured Data from scrappers, social media
STRENGTH!
Milind Zodge
Big Data Opportunities and Challenges
20
Lack Of Sufficiently Skilled IT Staff &
Cost Of Technology
Managing Data
Quality
Data
Integration
Milind Zodge
21
Milind Zodge
22
Milind Zodge
23
Milind Zodge
WWW.COMPANY.COM 24
WWW.COMPANY.COM 25
WWW.COMPANY.COM 26
WWW.COMPANY.COM 27
WWW.COMPANY.COM 28
WWW.COMPANY.COM 29
WWW.COMPANY.COM 30
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Milind Zodge
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THANK YOU
milzod milzod@gmail.com
Milind Zodge

Big Data.pptx

  • 1.
  • 2.
    Agenda 2 Agenda This slide is100% editable. Adapt it to your needs and capture your audience’s attention. 01 Agenda This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. 02 Agenda This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. 03 Agenda This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. 04 Agenda This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. 05 Agenda This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. 06 Milind Zodge
  • 3.
    What is BigData 3 Big data is characterized by large volumes of different types of data (e.g. Social, web, transaction, etc.) That builds very quickly. It exceeds the reach of commonly used hardware environments and software tools to capture, manage and process in a timely manner for its users. Big Data Milind Zodge
  • 4.
    How Big isBig Data 4 Number of emails sent every second 2.9 Million Data consumed by households each day 375 Megabytes Video upload to YouTube every minute 20 Hours Data per day processed by Google 24 Petabytes Tweets per day 50 Million Total minutes spent on Facebook each month 700 Billion Data sent and received by mobile internet users 1.3 Exabytes Products ordered on amazon per second 72.9 Items Milind Zodge
  • 5.
    Big Data MarketForecast 5 $32.1 $48.0 $ 5.1 $10.2 $16.8 This slide is 100% editable. Adapt it to your needs and capture your audience's attention. This slide is 100% editable. Adapt it to your needs and capture your audience's attention. This slide is 100% editable. Adapt it to your needs and capture your audience's attention. This slide is 100% editable. Adapt it to your needs and capture your audience's attention. This slide is 100% editable. Adapt it to your needs and capture your audience's attention. 2020 04 2021 05 2017 01 2018 02 2019 03 Milind Zodge
  • 6.
    Sources of BigData 6 This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Click stream This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Social network This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Sensors This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Html This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Images & Media This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Database This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Locations This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Email Milind Zodge
  • 7.
    Sources of BigData 7 Media Media and communication outlets (articles, podcasts, audio, video, email, blogs) Social Digital material created by social media (text, photos, videos, tweets) Machine Data generated by computers and machines generally without human intervention (business process logs, sensors, phone calls) Historical Data about our environment (weather, traffic, census) and archived documents, forms or records Milind Zodge
  • 8.
    3 Vs ofBig Data 8 3 Vs of Big Data Volume Variety Velocity  Terabytes  Records  Transactions  Tables, files  Batch  Near time  Semi structured  Streams  Structured  Unstructured  Semi structured  All the above Milind Zodge
  • 9.
    Objective of BigData 9 This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Analyzing customer behavior This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Combining multiple data sources This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Improving customer service This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Generate additional revenue This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Be more responsive to the market Objective of Big Data Milind Zodge
  • 10.
    Big Data Technologies 10 Machinelearning This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Crowd sourcing This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Natural language processing This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Genetic algorithm This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Simulation This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Data fusion This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Signal processing This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Time series This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Data integration This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Big Data Technologies Milind Zodge
  • 11.
    Big Data Workflow 11 Email Click stream Html Social Location Database Sensor data Images Actionableintelligence Big Data This slide is 100% editable. • This slide is 100% editable. Adapt it to your needs and capture your audience's attention • This slide is 100% editable. Adapt it to your needs and capture your audience's attention • This slide is 100% editable. Adapt it to your needs and capture your audience's attention Milind Zodge
  • 12.
    Four Phases ofBig Data 12 This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Decide This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Design This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Deposit This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Discover 04 01 03 02 Milind Zodge
  • 13.
    Forms/ Type ofBig Data 13 Structured 01 Enterprise systems Data warehouses Databases Unstructured 02 Audio/ video streams Analog data GPS tracking information Semi-Structured 03 Xml E- Mail EDI Data that does not reside in fixed locations generally refers to free-form text, which is ubiquitous. Data that resides in fixed fields within a record or file. Between the tow forms where “tags” or “structure” are associated or embedded within unstructured data. Milind Zodge
  • 14.
    Data Analytics Process 14 Data Thisslide is 100% editable. Adapt it to your needs and capture your audience’s attention. Decision This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Info This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Insight This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Milind Zodge
  • 15.
    Impact of BigData 15 Sports predictions Big data was used in 2012 to famously predict the US would win 108 medals in the summer Olympics. They won 104. Easier commutes Big data streamlines traffic, using data from GPS systems. Traffic lights now react to traffic conditions, weather & accidents. Smartphones Smartphone users utilize big data when asking for directions & verbally asking their phone questions. Advanced healthcare Big data is used to predict where outbreaks of potentially epidemic viruses will occur. Presidential campaigns Statistician Nate silver used big data to predict the outcome of the 2012 presidential election. Personalized advertising Big data is used to recommend purchases & personalized ads more relevant. How is Big Data ? Milind Zodge
  • 16.
    Benefits of BigData 16 Better business decision making Improved customer experience and engagement Achieved financial savings Increased efficiency 30% 50% 70% 90% Milind Zodge
  • 17.
    Future of BigData 17 Milind Zodge
  • 18.
    Big Data Opportunitiesand Challenges 18 30% 30% of companies looking for skills in advanced analytics/ predictive analytics in the next 12 months. 55% 55% of companies looking for skills in advanced analytics/ predictive analytics in the next 12 months. 75% 75% of companies looking for skills in advanced analytics/ predictive analytics in the next 12 months. This Slide Is 100% editable. Adapt It To your needs and capture your audience’s attention. This Slide Is 100% editable. Adapt It To your needs and capture your audience’s attention. This Slide Is 100% editable. Adapt It To your needs and capture your audience’s attention. Milind Zodge
  • 19.
    19 • External datacoming from various data vendors like weather data, stock data • Have to worry about streaming hot data load • Structured cold data coming from ERP systems • Running big batch data load one a month • Unstructured Data from scrappers, social media STRENGTH! Milind Zodge
  • 20.
    Big Data Opportunitiesand Challenges 20 Lack Of Sufficiently Skilled IT Staff & Cost Of Technology Managing Data Quality Data Integration Milind Zodge
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