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What Should a Developer Do With Data?
Poornima Vijayashanker
poornima@femgineer.com
@poornima
1
Background
• R&D Engineer @ Synopsys
• Founding Engineer @ Mint.com
• Founder & CEO @ BizeeBee
• Founder of Femgineer.com
• Instructor @ Duke University
2
BIG DATA
3
Not about applications!
4
Agenda
• Not enough data
• Noisy data
• Too much data
• Secured data
5
Process.
No Data
Lots
of
Data
Noisy DataSecured Data
Growth Product Launch
Some CustomersTraction
6
No Data or Not Enough?
7
User Experience.
8
Make it compelling.
9
Who’s gonna allow 20-somethings to access
their finances?
10
1. Build trust.
11
12
2. Make it frictionless.
13
14
3. Delight!
15
16
17
Privacy.
18
19
Noisy Data
20
Process.
No Data
Lots
of
Data
Noisy DataSecured Data
Growth Product Launch
Some CustomersTraction
21
• Data Streams
• Third-Party Data
• User Actions
Noisy Data
22
Parse it. Aggregate it. Mash it up!
23
24
25
Process.
No Data
Lots
of
Data
Noisy DataSecured Data
Growth Product Launch
Some CustomersTraction
26
Data.
User data - DB. User data - Analytics.
Application data - Logs.
27
Vocal Minority vs. Major Bug?
28
Mo’ data, mo’ problems!
29
Storage.
30
Retrieval.
31
Warehouse.
32
Distributed computing.
33
Limit the set based on frequency.
34
Process.
No Data
Lots
of
Data
Some DataSecured
Data
Growth Product Launch
Some CustomersTraction
35
Security - Access Controls.
Employee access. Outsider access.
User access.
36
37
Various Hats
• White Hat
• Black Hat
• Grey Hat
38
Responsible Disclosure.
39
Responsible Disclosure Details
• Driven by social responsibility
• Hardware and software makers repair vulnerabilities
• e.g. Facebook, Google, Mozilla, and Barracuda Networks
40
Review
• Not enough data
• Noisy data
• Too much data
• Secure data
41
Additional Resources
• Office Hours
• Online Mentoring
• Courses
42
Q&A
43

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