Big Data

Mark TheissenCEO, Cirro, Inc.

mtheissen@cirro.com

We have been wrestling with data a long time

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Big Data… everyone is talking about it but what does it mean?it

“Big data is a term applied to data sets that are large, complex and dynamic (or a combination thereof) and for which there is a requirement to capture, manage and process the data set in its entirety, such that it is not possible to process the data using traditional software tools and analytic techniques within tolerable time frames.”

How Big is Big Data?

In 2011, the amount of information created and replicated will surpass 1.8 zettabytes (1.8 trillion gigabytes) - IDC

Data volumes growing at a 60% CAGR - IDC

4.4 million jobs created by 2015 to support big data – Peter Sondergard, Gartner

The average $250m 500 person company generates over 170TB of data annually – Information Week

Are there different types?

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Structured

Semi-Structured

Unstructured

That Hadoop Thing• Most popular technology for processing big data• Open-source software framework for storing,

processing and analyzing big data • Made up of many sub-components or projects• Commercially available• Why important?

• Massive parallel processing• Very low cost

What are the challenges?

• The world of data going forward is distributed

• Performance at scale is the challenge of big data

• Leveraging existing investments • Another data silo• Requires new skills

So how are people approaching this?it

So how are people approaching this?it

So how are people approaching this?it

Case study – Fortune 100 Media & Entertainment company

itChallenge

• Analyze interactive experiences across console, online, mobile and social network platforms

• Inability to join data across different platforms

• Analyst desire ad-hoc data exploration

Solution• Cirro Analyst, Cirro Data Hub• Tableau• Cloudera

Benefits• Ability to quickly analyze

clickstream data with advertising data

• Reduce IT support requirements• Deliver improved target marketing

campaigns

Case study – Major Music Publisherit

Challenge• Analyze nightly music downloads

from major retail distribution outlets

• Analyst cannot explore data sources in a timely fashion

• Eliminate overhead, administration and costs of virtualization technology

• No ability to join structured and unstructured data sources

• Improve long-term artist success

Solution• Cirro Analyst, Cirro Data Hub• Hortonworks

Benefits• Improve predictive analytics of

music sales• Enable data mash-ups across

heterogeneous data sources• Streamlined analysis of nightly

music sales activity• Deliver superior marketing results

to recording artists

In Summary

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Bringing Big Data to the Desktop

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