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Data Science
A Technical Overview
Dr Carsten Riggselsen
Principal Data Scientist
Pivotal
2© Copyright 2015 Pivotal. All rights reserved.
3© Copyright 2015 Pivotal. All rights reserved.
Pivotal in a Nutshell
4© Copyright 2015 Pivotal. All rights reserved.
Platform to Solution Level
Ÿ  Ready to be incorporated into scalable, platform-independent applications:
– Pivotal Cloud Foundry platform-as-a-service
– Pivotal Labs gold standard for modern software development
– World-class Data Science capability
Solution
Level
Ÿ  Pivotal Big Data Suite is the only enterprise-grade software distribution that
contains all elements of the λ architecture
Ÿ  Wrapped in a flexible and consumption-based commercial offer
Ÿ  Truly enables enterprises to make the best decisions when it matters
Platform
Level
Platform
Component
Level
Ÿ  GemFire is the leading in-memory data grid, processing 2 million events per second
Ÿ  Hawq brings 100% ANSI compliant SQL, hundreds of concurrent queries and JDBC
& ODBC compliance to link to legacy databases
Ÿ  Spring XD streaming workflow builds performant pipelines to consume and
consolidate data from a variety of endpoints
5© Copyright 2015 Pivotal. All rights reserved.
Discover insights
Create analytics algorithms
Digital Transformation
Deploy analytic apps
and automation at scale
Store any type
and size of data
6© Copyright 2015 Pivotal. All rights reserved.
Value of Data and Information
Time
Value of
Data
µs ms s hour day month year yr+
Spring XD
Pivotal HD
Pivotal GemFire
Information
7© Copyright 2015 Pivotal. All rights reserved.
•  Translate business problems into a
mathematical/statistical problem
•  Combining appropriate Data Science
techniques
•  Infer and estimate parameter of statistical
models
•  Rely heavily on Pivotal’s stack and OSS
What We Do
8© Copyright 2015 Pivotal. All rights reserved.
Data Science Toolkit
Pivotal Big Data SuitePivotal HD
Pivotal Greenplum
Database
P L A T F O R M
Pivotal CF®
KEY TOOLS
 KEY LANGUAGES
SQL
Spring XD
9© Copyright 2015 Pivotal. All rights reserved.
R E A LT I M E 
DASHBOARD
Destination
Prediction
10© Copyright 2015 Pivotal. All rights reserved.
Understanding Driving Behavior
Vehicle
Speed
(km/h)
Distance (m)
•  Same car
•  Same roads
•  Different drive
styles
0
10
20
30
40
50
60
- 200 400 600 800 1,000 1,200 1,400
11© Copyright 2015 Pivotal. All rights reserved.
Pivotal HD
Spring XD
Realtime Evaluation
 Batch Training
Data Persistence
ODB/Bluetooth
12© Copyright 2015 Pivotal. All rights reserved.
Example: Pivotal’s Connected Car (λ Arch)
Spring XD
Pivotal HD
Pivotal GemFire
Speed Layer Serving Layer
Batch Layer
13© Copyright 2015 Pivotal. All rights reserved.
Video Recording
14© Copyright 2015 Pivotal. All rights reserved.
Pivotal’s Scalable Video Analytics Architecture
15© Copyright 2015 Pivotal. All rights reserved.
How We Do It
•  Agile principles and practices
•  Data Science enablement
•  Collaboration is key
16© Copyright 2015 Pivotal. All rights reserved.
•  Agile is an iterative approach that
enables you to quickly change the
kind of analysis you are doing,
depending on what the data is telling
you.
•  Frequent interactions and pairing
with the customer ensure that the
project stays on track and de-risks.
What Agile Data Science Means
Model Evaluation
Feature Review
Model Building
Feature EngineeringData Review
Operationalization
Scoping
Agile Data Science
17© Copyright 2015 Pivotal. All rights reserved.
Frequent
Feedback
Removes
Risk
18© Copyright 2015 Pivotal. All rights reserved.
Pivotal’s Software stack enables Data Science
Real-time, Interactive and Batch operations
Different architectures can be realized
Data Science is still a matter of thinking
Collaborate and interact
Conclusions
Digital Transformation Forum
Disrupt or Be Disrupted
19 OCTOBER · BMW WELT EVENT CENTRE · MUNICH

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Pivotal Digital Transformation Forum: Data Science Technical Overview

  • 1. Data Science A Technical Overview Dr Carsten Riggselsen Principal Data Scientist Pivotal
  • 2. 2© Copyright 2015 Pivotal. All rights reserved.
  • 3. 3© Copyright 2015 Pivotal. All rights reserved. Pivotal in a Nutshell
  • 4. 4© Copyright 2015 Pivotal. All rights reserved. Platform to Solution Level Ÿ  Ready to be incorporated into scalable, platform-independent applications: – Pivotal Cloud Foundry platform-as-a-service – Pivotal Labs gold standard for modern software development – World-class Data Science capability Solution Level Ÿ  Pivotal Big Data Suite is the only enterprise-grade software distribution that contains all elements of the λ architecture Ÿ  Wrapped in a flexible and consumption-based commercial offer Ÿ  Truly enables enterprises to make the best decisions when it matters Platform Level Platform Component Level Ÿ  GemFire is the leading in-memory data grid, processing 2 million events per second Ÿ  Hawq brings 100% ANSI compliant SQL, hundreds of concurrent queries and JDBC & ODBC compliance to link to legacy databases Ÿ  Spring XD streaming workflow builds performant pipelines to consume and consolidate data from a variety of endpoints
  • 5. 5© Copyright 2015 Pivotal. All rights reserved. Discover insights Create analytics algorithms Digital Transformation Deploy analytic apps and automation at scale Store any type and size of data
  • 6. 6© Copyright 2015 Pivotal. All rights reserved. Value of Data and Information Time Value of Data µs ms s hour day month year yr+ Spring XD Pivotal HD Pivotal GemFire Information
  • 7. 7© Copyright 2015 Pivotal. All rights reserved. •  Translate business problems into a mathematical/statistical problem •  Combining appropriate Data Science techniques •  Infer and estimate parameter of statistical models •  Rely heavily on Pivotal’s stack and OSS What We Do
  • 8. 8© Copyright 2015 Pivotal. All rights reserved. Data Science Toolkit Pivotal Big Data SuitePivotal HD Pivotal Greenplum Database P L A T F O R M Pivotal CF® KEY TOOLS KEY LANGUAGES SQL Spring XD
  • 9. 9© Copyright 2015 Pivotal. All rights reserved. R E A LT I M E DASHBOARD Destination Prediction
  • 10. 10© Copyright 2015 Pivotal. All rights reserved. Understanding Driving Behavior Vehicle Speed (km/h) Distance (m) •  Same car •  Same roads •  Different drive styles 0 10 20 30 40 50 60 - 200 400 600 800 1,000 1,200 1,400
  • 11. 11© Copyright 2015 Pivotal. All rights reserved. Pivotal HD Spring XD Realtime Evaluation Batch Training Data Persistence ODB/Bluetooth
  • 12. 12© Copyright 2015 Pivotal. All rights reserved. Example: Pivotal’s Connected Car (λ Arch) Spring XD Pivotal HD Pivotal GemFire Speed Layer Serving Layer Batch Layer
  • 13. 13© Copyright 2015 Pivotal. All rights reserved. Video Recording
  • 14. 14© Copyright 2015 Pivotal. All rights reserved. Pivotal’s Scalable Video Analytics Architecture
  • 15. 15© Copyright 2015 Pivotal. All rights reserved. How We Do It •  Agile principles and practices •  Data Science enablement •  Collaboration is key
  • 16. 16© Copyright 2015 Pivotal. All rights reserved. •  Agile is an iterative approach that enables you to quickly change the kind of analysis you are doing, depending on what the data is telling you. •  Frequent interactions and pairing with the customer ensure that the project stays on track and de-risks. What Agile Data Science Means Model Evaluation Feature Review Model Building Feature EngineeringData Review Operationalization Scoping Agile Data Science
  • 17. 17© Copyright 2015 Pivotal. All rights reserved. Frequent Feedback Removes Risk
  • 18. 18© Copyright 2015 Pivotal. All rights reserved. Pivotal’s Software stack enables Data Science Real-time, Interactive and Batch operations Different architectures can be realized Data Science is still a matter of thinking Collaborate and interact Conclusions
  • 19. Digital Transformation Forum Disrupt or Be Disrupted 19 OCTOBER · BMW WELT EVENT CENTRE · MUNICH