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1
Big Data is
Only Half the Story
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Big Data is Only Half the Story
#VizYourWorld
Mischa van Werkhoven
Principal Solution Architect
@MischaDaniel
Netherlands, 2015
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The final part of the story is
adding context and relevance
and delivering it to people
at the point of decision.
“ “
Big Data is Only Half the Story
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How many bytes
does it take to store
CGI effects for
Avatar?
Bytes
Petabytes
Megabytes
Gigabytes
Exabytes
Yottabytes
Kilobytes
Terabytes
Zettabytes
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5
Bytes to store Avatar CGI effects
Bytes
Kilobytes
Megabytes
Gigabytes
Terabytes
Petabytes
Exabytes
Zettabytes
Yottabytes
Bytes
Kilobytes
Megabytes
Gigabytes
Terabytes
Petabytes Exabytes
Zettabytes
Yottabytes
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Expanding on 3 fronts
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7
Hype Cycle 2013
Big Data
Internet of Things
In-Memory Analytics
As of July 2014
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Hype Cycle 2014
In-Memory Analytics
Big Data
Internet of
Things
As of July 2014
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9
Data
It's Not About the Data:
People Make Decisions
Opinions Intuition
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To Make Decisions
People Seek Answers to Questions
Data provides these answers
• Provide all relevant data
• Provide context
• At the point of decision
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To Make Decisions
People Seek Opinions of Others
• Enable Social Collaboration
• At the point of decision
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Intuition
People rely on their Intuition
to Make Decisions
Even though Google provided all
relevant route and traffic information
I chose the longer alternative…
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It's Not About the Data:
People Make Decisions
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Data Warehouse
• Improved Quality of decision making
• Speed Improvement?
• Technology driven
• Rely heavy on IT
Back in the days…
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Data lake
• Increased context
• Quality of decision making?
• Speed improvement?
• Technology driven
• Rely heavy on IT
Nowadays…
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16
The New IT: How Technology Leaders Are Enabling
Business Strategy in the Digital Age, Jill Dyché, 2015
You’ve been loading data
into a data warehouse for
as long as we can
remember. But no one
asked us if we needed any
of that data.
“ “
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17
If Data Is The New Oil...
Shouldn't We Treat It That Way?
• Nobody Invests In Drilling At Random
• Data Lakes Are As Useless As An Oil Reserve
• After All That Effort, Fuel Is Not Even The Point
http://www.qlik.com/blog/posts/peggysue-werthessen/if-data-is-the-new-oil-shouldnt-we-treat-it-that-way
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Integrate Data from Anywhere
to Add Context and Relevance
Improve Decision Making Quality
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Visual Analytics at the Point of Decision
Reporting Guided
Self Service
Web Integration
Custom
Increase Speed of
Decision Making
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In-Memory Approach
• Loads compressed data into memory
• Enables associative search and analysis
• Supports 100’s millions to billions of rows of data
• MOLAP is most common implementation approach
In-Memory
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Direct Discovery Approach
• Associative Data Discovery for Big Data
• Combines in-memory data with in-
database data
• Seamlessly combines Big Data with
other data sources
• Massive data scalability
• Easy to implement
• Rapid Big Data app development
• HOLAP implementation
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Application Architectures In-Memory
Many Big Data use cases can be addressed purely in memory
Drill-to-Segmented-Detail
East Region App
(150 MM rows)
West Region App
(150 MM rows)
North Region App
(150 MM rows)
South Region App
(150 MM rows)
Summary Dashboard
(10 MM rows)
Drill-to-Detail
Summary Dashboard
(10 MM rows)
Detail App
(500 MM rows)
Cross Subject Navigation
Summary
Dashboard
(20 MM rows)
Products
Dashboard
(10 MM rows)
Customer
Dashboard
(5 MM rows)
Orders
Dashboard
(50 MM rows)
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Application Architectures Hybrid
Many Big Data use cases can be addressed with a hybrid approach
In-Memory Dashboard
(Millions rows)
Drill-to-Detail
Direct Discovery Application
(Billions)
Historic Trends
Direct Discovery
Dashboard
In-Memory
Dashboard
Direct Discovery Application
(Billions)
Time Sensitive
Direct
Discovery
Application
(Billions)
In-Memory
Dashboard
(Millions)
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Big Data – Achieving Performance
Hot
Warm
Cold
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Hadoop - Connectivity
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Hadoop – Query Performance
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Tech Partner Ecosystem
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Qlik Sense / Optimized Hadoop / JethroData
• 2.5 Billion Rows via Direct Discovery
• http://jethrodata.qlik.com
Big Data demos
QlikView / Parstream
• 50 Billion Rows via Direct Discovery in Amazon
Cloud
• https://youtu.be/xSFbCtV7__8
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34
93 million
daily active users
1085 million
daily game plays
€1.22 billion
on in-app
purchases
1.6B rows
of data per day in
Hadoop
211M rows
per day extracted
for analysis
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35
The final part of the story is
adding context and relevance
and delivering it to people
at the point of decision.
“ “
Big Data is Only Half the Story
Guidelines
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RGB = 248 - 152 - 29
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Questions?
#VizYourWorld
Contact me directly:
Mischa van Werkhoven ([email protected])
@MischaDaniel
Web:
www.qlik.com
www.qlikcommunity.com
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