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Analytics on the Edge: 
Connected Analytics 
for the Modern 
Enterprise
Analyst commentary
August, 2015
Mark Madsen
Third Nature
@markmadsen
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Order Entry
Order 
Database
Customer 
Service
Interface 
Program
Inventory 
Database
Distribution
Interface 
Program
Receivables 
Database
Accounts 
Receivable
Data 
Warehouse
Analysts & 
users
Someone else always wants to use your data…
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The data warehouse. More of a CostCo, really. 
Came about in a pre‐event streaming market
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Core idea: centralize: that solves all problems!
But there are tradeoffs:
Creates bottlenecks
Causes scale problems
Enforces a single model
Injects latency
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New terminology: Data is the new oil
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New terminology: Data Exhaust
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New terminology: the data lake
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There is a different assumption with these terms
“Data isn’t something we make, it’s just there.”
But the prevailing model for management and 
use is still “centralize”
Copyright Third Nature, Inc.
There is a different assumption with these terms
“Data isn’t something we make, it’s just there.”
But the prevailing model for management and 
use is still “centralize”
This won’t work
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What happens when (a) there are only messages and no 
database? and (b) machines are actors in the system?
Order Entry
Order 
Database
Customer 
Service
Interface 
Program
Inventory 
Database
Distribution
Interface 
Program
Receivables 
Database
Accounts 
Receivable
Data 
Warehouse
Analysts & 
users
Copyright Third Nature, Inc.
In a mostly‐connected world, events occur in 
different time frames, follow different cycles of use
13
Source: Noumenal
Disconnected
Milliseconds Minutes Hours+
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In a mostly‐connected world, events occur in 
different time frames, follow different cycles of use
14
Source: Noumenal
Disconnected
Every event is 
persisted for some 
period of time before 
it is forgotten or 
forwarded
Milliseconds Minutes Hours+
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In a mostly‐connected world, events occur in 
different time frames, follow different cycles of use
15
Source: Noumenal
Disconnected
Local context 
and control, 
local decisions, 
local latency
Milliseconds Minutes Hours+
Copyright Third Nature, Inc.
In a mostly‐connected world, events occur in 
different time frames, follow different cycles of use
16
Disconnected
Source: Noumenal
Milliseconds Minutes Hours+
Bigger context, 
likely correlated, 
more complex 
rules, external 
monitoring
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In a mostly‐connected world, events occur in 
different time frames, follow different cycles of use
17
Disconnected
Source: Noumenal
Milliseconds Minutes Hours+
Broad context, human 
intervention, diagnosis 
and analytical tasks that 
have to be coordinated.
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In a mostly‐connected world, events occur in 
different time frames, follow different cycles of use
18
Disconnected
Source: Noumenal
Milliseconds Minutes Hours+
Data lives in multiple places, 
at multiple levels of detail, for 
differing durations. Unlikely to 
all be in one place.
Nor should it be.
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Flowing Persisted
Sliding window
of “now”
Persisted but not yet
loaded into a platform
Queryable history
Managed history
Streaming isn’t either‐or, it’s part of IT architecture
A DB can get you to within
minutes (at large scale) but it
won’t be easy or cheap, mainly
lives in the realm of history
Event streams, in-mem
stores, CEP streaming
SQL can be used for these
Real time monitoring doesn’t use only real time data: windows, restarts,
detecting deviation, so the above boundaries are crossed.
ESB Cache/Queue Database / platform
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Stream
If you want to do realtime and still manage your data 
effectively then you need to rethink data architecture
Collect Refine Manage Deliver
Flowing Managed historyPersisted
Microservices Metadata
Metadata & reuse?
Flow, persisted, managed define different access, 
processing, storage and retrieval requirements
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Rethinking software and data architectures is 
required. Enterprise IT needs to be renovated.
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Image Attributions
Thanks to the people who supplied the images used in this presentation:
refinery‐hdr.jpg ‐ http://www.flickr.com/photos/vermininc/2477872191/
Building demolition ‐ https://www.flickr.com/photos/gregpc/4429888820
Streaming environment ‐ http://www.noumenal.com/
Slide 22
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About Third Nature
Third Nature is a research and consulting firm focused on new and emerging technology 
and practices in analytics, business intelligence, and performance management. If your 
question is related to data, analytics, information strategy and technology infrastructure 
then you‘re at the right place.
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practices and applications. We offer education, consulting and research services to 
support business and IT organizations as well as technology vendors.
We fill the gap between what the industry analyst firms cover and what IT needs. We 
specialize in product and technology analysis, so we look at emerging technologies and 
markets, evaluating technology and hw it is applied rather than vendor market positions.

On the edge: analytics for the modern enterprise (analyst comments)