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MEETUP #17 Big Data, Open Data – What are they really?
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MEETUP #17Big Data, Open Data – What
are they really?
Our SpeakersDennis Brink, Executive Director of Canadian Open Data Institute
Trish Garner, Manager at Open Data at City of Toronto
Mark MacDonnell, Software Developer at SELA Canada
Adam Muise, Principal Architect at Horton Works
Jason Lavigne, Founder & CEO, Black & White Logic
Open Data – What is it?
Dennis BrinkExecutive Director, Canadian Open Data Institute
IAMCP Director and RIC Advisor
Open Government
Open Data
Open Knowledge
Open Data Definition fromOpen Knowledge Foundation (OKF)
• https://okfn.org/opendata/
‘Open knowledge’ is any content, information or data that people are free to use, re-use and redistribute — without any legal, technological or social restriction.
Creative Commons & License Types
• Attribution-ShareAlike 4.0 International
• “CC BY-SA 4.0”
• Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made.
• ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
Creative Commons & License Types
• Attribution-ShareAlike 4.0 International
• “CC BY-SA 4.0” • You are free to:• Share — copy and redistribute the material
in any medium or format• Adapt — remix, transform, and build upon
the material for any purpose, even commercially.
• The licensor cannot revoke these freedoms as long as you follow the license terms.
Examples of Open Data Not For Profit’sSunlight Foundation (US) sunlightfoundation.com
The Open Data Institute (UK) theodi.org
Directory for Open Data
http://data.gc.ca/eng/maps/open-data-canada
Example of Federal Data - Census
http://data.gc.ca/data/en/dataset/e3586bbf-93b8-40e8-8b5a-14023e1e705e
Population by home language, by province and territory (2011 Census)
Language spoken most often at home[1] Canadanumber
Total 33,121,175English 21,457,075French 6,827,865Non-official language 3,673,865English and French 131,205English and non-official language 875,135French and non-official language 109,705English, French and non-official language 46,325 [E] : use with caution. 1. Refers to the language spoken most often at home by the individual at the time of the census (May 10, 2011). Source: Statistics Canada, 2011 Census of Population. Last modified: 2013-02-13.
Example of Provincial Data - baby names
http://www.ontario.ca/government/ontario-top-baby-names-male
Example of City Data - parking ticketshttp://www1.toronto.ca/wps/portal/contentonly?vgnextoid=9e56e03bb8d1e310VgnVCM10000071d60f89RCRD
Shawn Petersen aka “Saint John Shawn”
• Propertize.ca a New Brunswick property tax assessment comparison tool.
• location detection to see all nearby properties
Address PID PAN Assessment (Year, Amount, Levy) Change Last Sale(s) Property Description Tax Class
228 Lancaster Avenue
33357 1698246 2013 - $633,000.00 - $30,386.542012 - $600,900.00 - $29,341.352011 - $573,400.00 - $27,998.55
5.34% PARTS DEPOT Fully Taxable
266 Lancaster Avenue
33225 1698115 2013 - $358,300.00 - $11,645.832012 - $340,600.00 - $11,274.882011 - $317,900.00 - $10,523.45
5.20% APT HOUSES & LAND Fully Taxable
Lancaster Avenue 55146310 5103560 2013 - $113,500.00 - $3,633.942012 - $111,900.00 - $3,649.852011 - $103,900.00 - $3,388.92
1.43% PARK AREA Fully Taxable
248 Lancaster Avenue
55012132 1701756 2013 - $736,900.00 - $35,374.152012 - $732,800.00 - $35,781.892011 - $722,100.00 - $35,259.43
0.56% BOWLING CENTRE Fully Taxable
Data Marketplace – Microsoft
http://datamarket.azure.com/browse/data?price=paid
Big Data vs. Open Data
How are they Different?
• Look at the 3 V’s in a Big Data World
Big Data vs. Open Data
• Volume – ever increasing– storage issue
• Variety– unstructured– external– social/mobile/IoT’s
• Velocity– daily or live streaming
Big Data vs. Open Data
How are they Different?
• All V’s are different
• Census:– static, structured, and 60 GB in size
NYU’s GovLab Survey
• OpenData500.com
• Survey of companies using Open Data for commercial purposes.
• Attempting to expand to other countries.
–We want Canada represented!
NYU’s GovLab Open Data 500
Questions?
Please consider helping with the Canadian Open Data survey project!
App Example from Sela Canada
Silicon Peel Meetup
About SELA Group
• Over 20 years in IT industry
• A global training, consulting and outsourcing
company, with offices in Canada, US, India,
Singapore & Israel
• Known for its high quality and lead in the
demanding Hi-Tech market
© Copyright SELA software & Education Labs
Ltd.
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SELA Group - Selected Customers
© Copyright SELA software & Education Labs
Ltd.
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SELA and Microsoft
SELA & Microsoft
© Copyright SELA software & Education Labs
Ltd.
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SELA and YOU
SELA & YOU
© Copyright SELA software & Education Labs
Ltd.
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Training• .NET• Java• C/C++• ISTQB• Onsite• Online
Consulting• Mentorship• Short term• Long term• Onsite• Remote
Outsourcing• Near shore• Offshore
Contact SELA Canada
Eran [email protected] www.selacanada.ca
© Copyright SELA software & Education Labs Ltd.
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Thank You
Making Money with Open DataMark MacDonnell, Software Developer, SELA Diamond Program
What is (good) open data?
• Has a license declaring it open
• Can be accessed freely and easily
• Provided in a standard, structured way
• Reliable
Why publish your data?
• Provide a data subset or sample
• Allows you to focus on core services
• Bring attention to your services
• Better information sharing
• Foster more open data
Why consume open data?
• Avoid maintenance costs
• Amalgamate information
• Support your own data
• Foster more open data
Communicating: The Triangle
Data Owners
Developers
Public
The “actual” Triangle
Data Owners
DevelopersPublic
Getting the word out
• To developers– Blogs– Social media– Emails
• To the public– Press
releases– News
conferences
To data owners◦ Emails◦ Social media◦ Comments
To the public◦ Apps◦ Blog
To data owners◦ Contact◦ FAQs
To developers◦ Reviews◦ Downloads◦ Un-installs
Data Owners Developers The Public
What to do?
• Have a clear audience– Don’t forget the other audience
• Be proactive
• Say where you’re going– Secrets don’t help
• Always be communicating– Make it easy (RSS, Twitter, etc.)
Provision
Create data sets from webpages
Automatically crawls site for data
Currently growing
Useful for internal activities
Tools for building APIs from data
Value added to the open data
Live in the wild
Good for exposing your data
Consumption
• Gather the data and do research
• Combine open data with closed data
• Process the data
• Value added
Break
Demo Me
Harpreet Singh, Lab B
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