Over the last couple of years, R has become increasingly popular among business users. Today, it is the first choice of many data science departments when it comes to ad-hoc analysis and data visualization, research and prototyping. But when it comes to critical production environments, IT departments are still reluctant to consider R as part of their software stack. And there are reasons for that: Dynamic typing, the reputation for being slow (still around!), the lack of experience regarding management and administration of R (and its 10,000 packages), to name some of them. Nevertheless, with the help of some friends, it is feasible and reasonable to use R as a core application even in critical production environments. This talk will share lessons learned from practical experience and point out a best practice landscape of tools, approaches and methods to make that happen.

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Beyond prototyping:
Best practice for R in critical enterprise environments

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It‘s about
change

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• Operational System
• Interpreter
• Packages and their dependencies
• Scripts
• Data
Types of changes
CRAN
Structure of the Data

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Change
Data Scientist
IT-Operator
Opportunity
Agility
Freedom
Risk
Stability
Rules

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• Version Control
• Staging Architecture
• Continuous Integration for automated tests
• Package Management
Prod Test Dev
miniCRAN
Components
+ Branching Strategy

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Version Control and Staging

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Branching Strategy (based on GitFlow)
develop
topic/markdown_report
topic/improvement_cluster_analysis
master
release/1.0.0
Bugfixing Bugfixing
User
Acceptance
Test
New Release
Tag: 1.0.0
hotfix/bug-433
Bugfixing
Bugfixing Release
Tag: 1.0.1
topic/improvement_anomaly_detection
release/1.1.0
Bugfixing Bugfixing
New Release
Tag: 1.1.0
main branches
supporting branches
Production
Test
Dev
time

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Continuous Integration

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Continuous Integration
Data Science Team
Managed
remote
Repository
Continuous Integration
Server
Check-in/pushtoremote
local
branches
remote
branches
Checkout
• Clean working directory
• Copy Branch to working directory
Prepare
• Starting R Session
Test
• Perform Unit-, Integration-, Functional- and Performance-Tests
[Build
Package]
• Build Package (if applicable)
• Feedback to Repository about Success
Deploy
• Put new Version on respective System, if all steps before succeed
Development Test Production
develop release
hotfix
master
Feedback

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Package Management
Standard Package Management

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dplyr 0.8
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Hmisc 1.1
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ggplot 2.2
caret 5.8
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dplyr 0.8
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Hmisc 1.1
dplyr 0.6
ggplot 2.2
caret 5.8
dplyr 0.7
ggplot 2.2
Hmisc 4.0
caret 6.0
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dplyr 0.8
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Hmisc 1.1
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dplyr 0.8
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nnet 7.0
dplyr 0.3
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caret 2.1
dplyr 0.7
ggplot 1.4
Hmisc 1.1
dplyr 0.6
ggplot 2.2
caret 5.8
dplyr 0.7
ggplot 2.2
Hmisc 4.0
caret 6.0
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dplyr 0.8
ggplot 1.4
nnet 7.0
dplyr 0.3
ggplot 1.8
Hmisc 6.0
caret 2.1
dplyr 0.7
ggplot 1.4
Hmisc 1.1
dplyr 0.6
ggplot 2.2
caret 5.8
dplyr 0.7
ggplot 2.2
Hmisc 4.0
caret 6.0
3.3
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CRAN
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dplyr 0.8
ggplot 1.4
nnet 7.0
dplyr 0.3
ggplot 1.8
Hmisc 6.0
caret 2.1
dplyr 0.7
ggplot 1.4
Hmisc 1.1
dplyr 0.6
ggplot 2.2
caret 5.8
dplyr 0.7
ggplot 2.2
Hmisc 4.0
caret 6.0
3.3
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CRAN
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Package Management
Decentralized Package Management

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CRAN
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Hmisc 4.0
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Projekt
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ggplot 2.2
caret 5.8
Projekt
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Script 1
Script 2
dplyr 0.7
ggplot 1.4
Hmisc 1.1
Projekt
3
Script 1
Script 2
Script 3
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Production
Test
Development

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3.3
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CRAN
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Hmisc 4.0
caret 6.0
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Script 1
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ggplot 2.2
caret 5.8
Projekt
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Script 1
Script 2
dplyr 0.7
ggplot 1.4
Hmisc 1.1
Projekt
3
Script 1
Script 2
Script 3
Script 4
Production
Test
Development

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3.3
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CRAN
3.3
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2.8
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ggplot 2.2
Hmisc 4.0
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ggplot 2.2
caret 5.8
Projekt
2
Script 1
Script 2
dplyr 0.7
ggplot 1.4
Hmisc 1.1
Projekt
3
Script 1
Script 2
Script 3
Script 4
Production
Test
Development

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CRAN
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2.8
Pakete:
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caret 5.8
Projekt
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Script 1
Script 2
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ggplot 1.4
Hmisc 1.1
Projekt
3
Script 1
Script 2
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Script 4
Production
Test
Development

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3.3
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User 2
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CRAN
3.3
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2.8
Pakete:
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Hmisc 4.0
caret 6.0
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Script 2
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Hmisc 1.1
Projekt
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Production
Test
Development

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Package Management
Centralized Package Management

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dplyr 0.7
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caret 6.0
car 2.1
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Data-
Science
Admin
LRAN
Production
Test
Development

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ggplot 2.2
caret 6.0
car 2.1
dplyr 0.7
ggplot 2.2
Hmisc 4.0
car 2.1
Hmisc 4.0
caret 6.0
car 2.1
dplyr 0.7
ggplot 2.2
car 2.1
dplyr 0.7
ggplot 2.2
Hmisc 4.0
3.2
User 1
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CRAN 3.2
3.2
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dplyr 0.7
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Hmisc 4.0
caret 6.0
car 2.1
Data-
Science
Admin
LRAN
Production
Test
Development

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ggplot 2.2
caret 6.0
car 2.1
Hmisc 4.0
caret 6.0
car 2.1
dplyr 0.7
ggplot 2.2
Hmisc 4.03.2
User 1
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User 3
CRAN 3.2
3.2
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Projekt
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Script 1
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Data-
Science
Admin
LRAN
Production
Test
Development
ggplot 2.2
ggplot 2.2

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ggplot 2.2
caret 6.0
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car 2.1
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Script 1
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Data-
Science
Admin
LRAN
Production
Test
Development
ggplot 2.2
ggplot 2.2

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Updates

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Decentralized Package Management
3.3
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3.3
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ggplot 2.2
Hmisc 4.0
caret 6.0
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Script 1
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ggplot 2.2
caret 5.8
Projekt
2
Script 1
Script 2
dplyr 0.7
ggplot 1.4
Hmisc 1.1
Projekt
3
Script 1
Script 2
Script 3
Script 4
ggplot 2.3
Production
Test
Development

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Hmisc 4.0
caret 6.0
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ggplot 2.3
ggplot 2.2
caret 6.0
car 2.1
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caret 6.0
car 2.1
ggplot 2.2
dplyr 0.7
ggplot 2.2
Hmisc 4.03.2
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CRAN 3.2
3.2
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LRAN
Data-
Science
Admin
Pakete:
3.2
Check LRAN
Centralized Package Management
Data-
Science
Admin
Test
Production
Test
Development

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Hmisc 4.0
caret 6.0
car 2.1
ggplot 2.3
ggplot 2.2
caret 6.0
car 2.1
Hmisc 4.0
caret 6.0
car 2.1
ggplot 2.2
dplyr 0.7
ggplot 2.2
Hmisc 4.03.2
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Science
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Pakete:
3.2
Hmisc 4.0
caret 6.0
car 2.1
Check LRAN
ggplot 2.3
ggplot 2.3
Production
Test
Development
Data-
Science
Admin
Test
ggplot 2.3
Centralized Package Management

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Hmisc 4.0
caret 6.0
car 2.1
ggplot 2.3
ggplot 2.2
caret 6.0
car 2.1
Hmisc 4.0
caret 6.0
car 2.1
ggplot 2.2
dplyr 0.7
ggplot 2.2
Hmisc 4.03.2
User 1
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CRAN 3.2
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Science
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Pakete:
3.2
Hmisc 4.0
caret 6.0
car 2.1
Check LRAN
ggplot 2.3
ggplot 2.3
Production
Test
Development
Data-
Science
Admin
Test
ggplot 2.3
Centralized Package Management

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Hmisc 4.0
caret 6.0
car 2.1
ggplot 2.3
ggplot 2.2
caret 6.0
car 2.1
Hmisc 4.0
caret 6.0
car 2.1
ggplot 2.2
dplyr 0.7
ggplot 2.2
Hmisc 4.03.2
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Admin
Pakete:
3.2
Hmisc 4.0
caret 6.0
car 2.1
Check LRAN
ggplot 2.3
ggplot 2.3
Production
Test
Development
Data-
Science
Admin
Test
ggplot 2.3
Centralized Package Management

35. www.eoda.de 3508.08.2017 eoda GmbH©
Hmisc 4.0
caret 6.0
car 2.1
ggplot 2.3
ggplot 2.2
caret 6.0
car 2.1
Hmisc 4.0
caret 6.0
car 2.1
ggplot 2.2
dplyr 0.7
ggplot 2.2
Hmisc 4.03.2
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Pakete:
3.2
Hmisc 4.0
caret 6.0
car 2.1
Check LRAN
ggplot 2.3
ggplot 2.3
Production
Test
Development
Data-
Science
Admin
Test
ggplot 2.3
Centralized Package Management

36. www.eoda.de 3608.08.2017 eoda GmbH©
ggplot 2.3
Hmisc 4.0
caret 6.0
car 2.1
ggplot 2.3
ggplot 2.3
ggplot 2.2
caret 6.0
car 2.1
Hmisc 4.0
caret 6.0
car 2.1
ggplot 2.2
dplyr 0.7
ggplot 2.2
Hmisc 4.03.2
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Projekt
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Data-
Science
Admin
Pakete:
3.2
Hmisc 4.0
caret 6.0
car 2.1
ggplot 2.3
LRAN
Check LRAN
ggplot 2.3
Production
Test
Development
Data-
Science
Admin
Test
Centralized Package Management

37. www.eoda.de 3708.08.2017 eoda GmbH©
ggplot 2.3
ggplot 2.3
Hmisc 4.0
caret 6.0
car 2.1
ggplot 2.3
ggplot 2.3
caret 6.0
car 2.1
Hmisc 4.0
caret 6.0
car 2.1
dplyr 0.7
Hmisc 4.03.2
User 1
User 2
User 3
CRAN 3.2
3.2
Pakete:
Pakete:
Pakete:
Projekt
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Script 1
Script 2
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Data-
Science
Admin
Pakete:
3.2
Hmisc 4.0
caret 6.0
car 2.1
ggplot 2.3
ggplot 2.3
LRAN
Check LRAN
ggplot 2.3
Production
Test
Development
Data-
Science
Admin
Test
Centralized Package Management

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