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Big Data, Big Headache?
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Big Data presentation Tensing

Jan 14, 2017

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Page 1: Big Data presentation Tensing

Big Data, Big Headache?

Page 2: Big Data presentation Tensing

Statement

“GIMA students are not well equipped to

deal with Big Data in their future careers”

Page 3: Big Data presentation Tensing

Who am I?

Tom Broersen

Page 4: Big Data presentation Tensing

Who am I?

Tom Broersen

Page 5: Big Data presentation Tensing

Who am I?

Tom Broersen

Page 6: Big Data presentation Tensing

Big Data, Big Headache?

Page 7: Big Data presentation Tensing

Ask the co-workers

Page 8: Big Data presentation Tensing

Ask Google

Page 9: Big Data presentation Tensing

MANY different definitions

“Too big for one computer”

“When the size becomes a problem”

“Distributed systems and non-

conventional database technologies”

Page 10: Big Data presentation Tensing

MANY different definitions

“Too big for one computer”

“When the size becomes a problem”

“Distributed systems and non-

conventional database technologies”

Page 11: Big Data presentation Tensing

All is relative… AHN3 and NDW

AHN3: 1.5 billion points

> 1TB in size

NDW traffic data: 27.000

measurements per minute

Page 12: Big Data presentation Tensing

All is relative… LHC @CERN

The Large Hadron Collider (LHC) at CERN Data Centre:

• 600 million collisions per second

• Filtered to 1GB/s (roughly 80.000 GB/day)

• >> 10.000 processing cores

Page 13: Big Data presentation Tensing

All is relative… SKA TELESCOPE

The SKA project (2024):

• One exabyte of data every day

(1000 * 1000 * 1000 GB)

• Requires millions of

traditional servers

Page 14: Big Data presentation Tensing

All is relative…

AHN3: 1TBNDW:

27.000 per minute

LHC: 80TB/day

SKA: exabyte/day

Page 15: Big Data presentation Tensing

Who cares?

“The definition of Big Data? Who

cares? It’s what you’re doing with it.”

Page 16: Big Data presentation Tensing

It’s not about the definition

BIG DATA

< What we know…

< The rest…

Page 17: Big Data presentation Tensing

How will Big Data change our lives?

Page 18: Big Data presentation Tensing

How will Big Data change our lives?

Comprehensive picture of the patient as an individual

Page 19: Big Data presentation Tensing

How will Big Data change our lives?

De-centralised power grid

Page 20: Big Data presentation Tensing

How will Big Data change our lives?

Finance

Page 21: Big Data presentation Tensing

How will Big Data change our lives?

Shift planning and avoiding “out of stock conditions”

Page 22: Big Data presentation Tensing

High potential in GEO-data

Page 23: Big Data presentation Tensing

Geo (Big) Data apps

Page 24: Big Data presentation Tensing

But: minor role of GIS

Page 25: Big Data presentation Tensing

Big Data, Big Headache?

Page 26: Big Data presentation Tensing

But: minor role of GIS

Page 27: Big Data presentation Tensing

Are you well equipped?

Data Engineer

“Hacker mindset”

“Builds the product”

System implementation

Scripting (Python, JavaScript)

Databases (SQL, NoSQL)

Big Data (Hadoop, Spark)

Data Scientist

“Curious about data”

“Asks the right questions”

Statistics (R)

Story-telling

Visualisation and cartography

Analysis (ESRI ArcGIS)

Page 28: Big Data presentation Tensing

Are you well equipped?

Data Scientist

“Curious about data”

“Asks the right questions”

Statistics (R)

Story-telling

Visualisation and cartography

Analysis (ESRI ArcGIS)

Page 29: Big Data presentation Tensing

Are you well equipped?

Data Engineer

“Hacker mindset”

“Builds the product”

System implementation

Scripting (Python, JavaScript)

Databases (SQL, NoSQL)

Big Data (Hadoop, Spark)

Page 30: Big Data presentation Tensing

Are you well equipped?

Data Scientist

“Curious about data”

“Asks the right questions”

Statistics (R)

Story-telling

Visualisation and cartography

Analysis (ESRI ArcGIS)

Page 31: Big Data presentation Tensing

Are you well equipped?

Data Engineer

“Hacker mindset”

“Builds the product”

System implementation

Scripting (Python, JavaScript)

Databases (SQL, NoSQL)

Big Data (Hadoop, Spark)

Page 32: Big Data presentation Tensing

Are you well equipped?

Data Engineer

“Hacker mindset”

“Builds the product”

System implementation

Scripting (Python, JavaScript)

Databases (SQL, NoSQL)

Big Data (Hadoop, Spark)

Data Scientist

“Curious about data”

“Asks the right questions”

Statistics (R)

Story-telling

Visualisation and cartography

Analysis (ESRI ArcGIS)

Page 33: Big Data presentation Tensing

Statement

“GIMA students are not well equipped to

deal with Big Data in their future careers”

Page 34: Big Data presentation Tensing

Are you well equipped?

Data Scientist Data Engineer

“Curious about data”

“Asks the right questions”

“Hacker mindset”

“Builds the product”

System implementation

Scripting (Python, JavaScript)

Databases (SQL, NoSQL)

Big Data (Hadoop, Spark)Statistics (R)

Story-telling

Visualisation and cartography

Analysis (ESRI ArcGIS)

Page 35: Big Data presentation Tensing

Are you well equipped?

Data Scientist Data Engineer

“Curious about data”

“Asks the right questions”

“Hacker mindset”

“Builds the product”

System implementation

Scripting (Python, JavaScript)

Databases (SQL, NoSQL)

Big Data (Hadoop, Spark)Statistics (R)

Story-telling

Visualisation and cartography

Analysis (ESRI ArcGIS)

Page 36: Big Data presentation Tensing

How to build a great resume?

(Modern)

Page 37: Big Data presentation Tensing

Who has the future?

Page 38: Big Data presentation Tensing

Questions

Tom Broersen

[email protected]