© 2015 EXASOL AG1

The Big Data Internet of … What ?!

Graham Mossman, Senior Solution Engineer, EXASOL

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The Big Data Internet of … What ?!

Technology Hype

Big Data & the Internet of Things

The Gartner Hype Cycle

Things that Aren‘t True

The Future

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Hype is Universal

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Hype Drowns Out the Message

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Is There Anything Much Beneath the Padding ?

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The Gartner Hype Cycle

Internet of Things

Big Data

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Big Data – Without the Hype

ALL available data is captured and stored

Even if it is “badly behaved”

Or not obviously immediately useful.

This data is analysed using “Data Science” to realise a business benefit.

For example:

Optimising a process

Understanding customers better

Finding new customers

Or creating a new service based on that data.

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Internet of Things – Without the Hype

Sensors are placed on “Things of Interest” so that ALL available data is captured and stored in the Cloud.

This data is analysed using “Data Science” to realise a business benefit.

For example:

Optimising a process

Understanding customers better

Finding new customers

Or creating a new service based on that data

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Four Things they say that just aren’t True

1. This is New

2. New business rules apply

3. Growth will be exponential

4. It‘s ready for everyone, now

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What is actually New ?

Big Data

Data Science Methods (Maths & Statistics)

High volume / fast database platforms

(Hadoop + In-Memory Databases)

Internet of Things

Sensor Technology

Cloud computing

BIG DATA !

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Do new business rules apply ?

Dot-Com Years (1990s)

Old World :

New World :

Eyeballs

Clicks

Page-views

Stickiness

Profit Cash

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Business Cases need to be better than this

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A lot of Business Cases use tricks like these

Take credit for stuff that would have happened anyway

1% of trillions is tens of billions

Good things will continue forever

Bad things will soon end

Ignore alternatives

Value stuff that has no material value

Growth will be exponential for ever

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Because of Moore’s Law, Silly !

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Hardly Anything is Exponential (Long Term)

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Reasons why growth is hardly ever exponential

Economic Disincentive (supersonic flight)

Regulatory Disincentive (Google/Microsoft)

Social Resistance (nuclear power)

Saturation (mobile phone)

Wider economic problems (particle physics)

Unrelated events (telephone)

Technical difficulties (quantum computing)

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Is it ready for everyone, right now ?

A Big Data application needs:

Lots of “badly-behaved” data

A well-thought out question

And an algorithm

to get timely results

The ability to interpret the results

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Is it ready for everyone, right now

An IoT application needs:

Lots of sensor data in the cloud

A well-thought out question

And an algorithm

to get timely results

The ability to interpret the results

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Non-Technical Issues with the Internet of Things

Standards

User Consent

Freedom of Choice

Anonymity

Security

“Basket of Remotes”

Environmental Impact

Skills Shortage

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Conclusion : Big Data & the Internet of Things will …

Change the world ... eventually

Follow the Hype Cycle

Be governed by old-fashioned financial logic

Increase the already strong demand for Data Science

SO ...

Learn Data Science !

Don‘t believe the Hype

Don‘t jump until you have a proven business case

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