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Page 1: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data

Drinking from the Fire Hose: Tools for Interpreting and Teaching

with Big Data

Mark FrydenbergBentley University

Page 2: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data
Page 3: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data

CourseMateEnhanced

Edition

Page 4: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data

77 Movies and TV Shows!

Page 5: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data

What's your Bacon Index?

Kevin

Bob

1

Ann2Joe

3

Kim

42 X

Page 6: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data
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APIs

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Page 10: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data

Friend of a Friend

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Social Graph

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Big Data

'Big data' refers to a collection of tools, techniques and technologies which make it easy to work with data at any scale.

powerof60.com

Page 15: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data
Page 16: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data

3 V's

• Volume - amount of data is larger than those conventional relational database infrastructures can handle

• Velocity - the rate at which data is generated, processed and analyzed in (real) time

• Variety – data formats are unstructured and inconsistent

Page 17: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data

Volume: How Big is Big Data?

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Yottabyte?

Page 19: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data

Walmart

• Walmart collects more than 2.5 petabytes of data every hour from its customer transactions.

• A petabyte is one quadrillion bytes, or the equivalent of about 20 million filing cabinets’ worth of text.

http://hbr.org/2012/10/big-data-the-management-revolution/ar

Page 20: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data

Velocity: Drinking from the Firehose

• Scrutinize 5 million trade events created each day to identify potential fraud

• Analyze 500 million daily call detail records in real-time to predict customer churn faster

Page 21: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data

A Variety of Big Data Sources

Page 22: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data

McKinsey&Company Report (2011)

• Data is part of every industry and business function.

• Data creates value.• Big data becomes a basis of

competition and growth.• Some sectors will achieve

greater gains.• Shortage of people with

analytical skills.• Need policies related to

privacy, security, ownership.

Page 23: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data

Twitter

Page 24: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data

Twitter

3000 tweets per seconddata is disorganizedHow does twitter use its data?

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Twitter Visualization

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Big Data Technologies

• HADOOP: scalable storage, parallel computation

• NoSQL: distributed querying

Page 28: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data

What this Means

• Change your web page and Google finds it in minutes.

• Ten years ago, you would have to submit a request to Yahoo! to reindex your site.

• All you need is a lot of servers. • Google has a million of them.• No problem.

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Collaborative Filtering

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Collaborative Filtering

Me You

Black Beauty

Camera TripodThe Black

Stallion

Page 34: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data
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Variety: Semantic Web

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RelFinder

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Unstructured Data

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Health Care

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Analyzing Big Data

Page 43: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data

explore.data.gov

Page 44: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data

Searching Big Data

Page 45: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data

Fusion Table Visualizations

Page 46: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data

Fusion Table Visualizations

Page 47: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data

Fusion Table Visualizations

Page 48: Course Tech 2013, Mark Frydenberg, Drinking from the Fire Hose: Tools for Interpreting and Teaching with Big Data

Mark Frydenberg

[email protected]/

mfrydenberg

Invite me to your school!

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