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Webinar@LunchtimeDie Integration von Open Source in die SAS Welt


ModerationAnne K. Bogner-Hamleh

SAS Institute GmbH

Education Consultant

Xing-Profil:http://www.xing.com/profile/AnneKatrin_BognerHamleh?key=0.0

Herzlich Willkommen bei Webinar@Lunchtime

Hinweise zum Ablauf des Webinars:

• Teilnehmer sind automatisch “stumm” geschaltet

• Sie können Nachrichten an den Moderator senden und Fragen stellen

TrainingDr. Sascha Schubert

SAS Institute GmbH

Advisory Business Solutions

Manager

LinkedIn-Profil:www.linkedin.com/in/sschubertsas

http://www.xing.com/profile/AnneKatrin_BognerHamleh?key=0.0

http://www.linkedin.com/in/sschubertsas


Frage Frage

Welche Open Source Software nutzen Sie?

a) Python

b) R

c) Java

d) keine

Mögliche Antworten


Webinar@Lunchtime Agenda

• SAS® Open Analytics Ecosystem

• SAS® 9 - Open Source Integration

• SAS® Viya™ – Open Source Integration


Open Source Software (OSS)• Software development mode, collaborative access to source

code

• Free software: freedom to use, study, change, distribute – with no initial cost

Open SOURCE Software vs Open Software

Pokémon GoUberGoogleMapsOpen Software

• Accessible software, consumable in many ways (APIs)

• Being able to use for your purpose, build applications


Homogenous & complimentary

Enterprise Analytics Ecosystem

SAS® & Open SourceEmbrace and Extend

Open Source

Applications

Data

Platforms

Infrastructure

Heterogenous & dynamicAnalytics Ecosystem

Extend

Embrace


What does it mean to be “Open”?

Analytics Engine

SAS® Model

Open sourceModel

CAS or ESP

Open to SAS®

Interface

R or Python coding environment

SAS® StudioSAS® Enterprise Miner

SAS® to Open


SAS & Open Source AnalyticsIntegration SAS 9

• SAS /IML capabilities for R

• Open Source node in Enterprise Miner

• Calling external tools from SAS programs such as Python code

• DataStep Java Object API for Java-based tools

• SASPY : API for integration of Jupyter Notebook

• SAS Kernel for Jupyter Noteboook

Open to SAS

SAS to Open


Extend

Integration with RSAS® Enterprise Miner

R Models

SAS Models

• Model comparison• Testing new R algorithms• Simultaneous processing of R models • Model ensembles• Automatic score code generation• Management, deployment und monitoring of R models

SAS to Open


Model Deployment

• Create centralized repository for all analytical models in the enterprise

• Deploy the models into production (no manual coding)

• Track model performance, and automatically retrain models when necessary


Import R Models into SAS® Model Manager

• Use SAS® Enterprise Miner Open Source Integration Node

• R model fully integrated into process flow

• SAS® Score code automatically created for supported PMML models

• Import PMML model created externally to SAS®

• SAS® Score code automatically created for supported PMML models

• Import R model using local files import


Publishing Open Source Models into Hadoop

Our digital transformationto power the analytics economy


SAS® Viya™

Visual Interfaces

Programming Interfaces

API Interfaces

GUI user

Developer

MULTIPLE INTERFACES

Open Source

CoderSAS Coder


SAS® Scripting Wrapper for Analytics Transfer (SWAT)

• Access to SAS® Viya™from Python and R

• Integration of SAS® Analytics in Python and R code

• R Studio and Jupyter Notebook support

• Issue tracking and collaboration in development through GitHub project

Open to SAS®


Workers

Controller

proc print data = hmeq (obs = 10);

run;

df = s.CASTable(‘hmeq’)

df.head(10)

df <- defCasTable(s, ‘hmeq’)

head(df, 10)

[table.fetch]

table.name = “hmeq”

from = 1 to = 10

Translated Action

SAS® Viya™: New Interface APIs Different Languages – Same Power


Publish

SAS® Model Manager on SAS® Viya™Varied Models : Unified and Managed

Common Micro

Services

Monitor

Publish

Score

CatalogRegister

SAS Model Studio

E-Miner

Python, R

SAS Studio

Producers

Streaming

Batch

In-DB

Hadoop

Consumers

User Interface


Publishing Open Source Models in SAS® Viya™


SAS® Analytics Platform is Open for Different User Personas

One Integrated Solution for Different User Types

Mobile


Free SAS® RESOURCESFREIE SOFTWARE, FREIES TRAINING

SAS Software für Studenten und Lernende

SAS on Demand for Academics

SAS University Edition

https://www.sas.com/en_us/software/on-demand-for-academics.html

https://www.sas.com/en_us/software/university-edition.html


Other Resources

• SAS® Global Forum Paper 2017: Open Your Mind: Use Cases for SAS® and Open-Source Analytics; Tuba Islam, SAS Institute Inc.• http://support.sas.com/resources/papers/proceedings17/SAS0747-2017.pdf

• SAS® Global Forum Paper 2017: Using Python with SAS® Cloud Analytic Services (CAS); Kevin D Smith and Xiangxiang Meng, SAS Institute Inc.• http://support.sas.com/resources/papers/proceedings17/SAS0152-2017.pdf

• SAS® Viya™: The Python Perspective, Kevin D Smith and Xiangxiang Meng• GitHub Sample Code: https://github.com/sassoftware/sas-viya-the-python-

perspective

http://support.sas.com/resources/papers/proceedings17/SAS0747-2017.pdf

http://support.sas.com/resources/papers/proceedings17/SAS0152-2017.pdf

https://github.com/sassoftware/sas-viya-the-python-perspective


SAS Kernel Kernel for Jupyter Notebookhttps://github.com/sassoftware/sas_kernel

SASPyA Python interface module to the SAS Systemhttps://github.com/sassoftware/saspy

SAS Viya with SWAT Open API for Python for SAS Viya (CAS Engine)https://github.com/sassoftware/python-swat

SAS Viya with SWAT ROpen API for R for SAS Viya (CAS Engine)https://github.com/sassoftware/R-swat

SAS auf

https://github.com/sassoftware/sas_kernel

https://github.com/sassoftware/saspy

https://github.com/sassoftware/python-swat

https://github.com/sassoftware/R-swat


SAS and Open SourceTHE OPEN ENTERPRISE ANALYTICS ECOSYSTEM

• Skill-based interfaces enable easy access

to SAS Analytics Platform for different user

profiles and increase productivity

• Support for enterprise-wide collaboration

of different user profiles

• Easy access to scalable distributed

analytical environment

• Easy and efficient deployment of analytical

models into operational business

processes

• IT Governance and Lineage for data and

analytical models

Not an EITHER - OR


Fragen?


Weitere Informationen und Kurse zu diesem Thema…

• SAS Programming for R Users07. – 08. Juni 2018 Heidelberg oderFREE E-Learning!

• FREE SAS Video Library:SAS APIs for Other Languages

https://support.sas.com/edu/schedules.html?id=3033&ctry=DE

http://video.sas.com/#category/videos/sas-apis-for-other-languages


Vielen Dank für Ihre Teilnahme!


Nächstes Webinar@Lunchtime:

Big Data, Data Mining and Machine Learning –an overview

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