sas platform strategy€¦ · path to convergence technical steps to one sas platform currently...
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SAS Platform StrategyPrepared for FANS usergroup
Mike Frost, Director, Product Management
Fiona McNeill, Global Product Marketing
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Information is subject to change.
Q1 | 2017 Q2 | 2017 Q3 | 2017 Q4 | 2017 H1 | 2018Business Visualization
• SAS Mobile BI
Pipefitter for Python
SAS 9 Roadmap Product Highlights
Business Visualization
• SAS Mobile BI
• SAS Office Analytics
• SAS Visual Analytics
• SAS Visual Statistics
Data Management• SAS Business Data Network
and SAS Lineage
• SAS Data Management Platform
• SAS MDM
• SAS QKB for Contact Information
• SAS QKB for Medicinal Products
SAS 9.4 M5
Business Visualization
• SAS Mobile BI
• SAS Office Analytics
Data Management
• SAS Data Integration Studio
• SAS In-Database Technologies
• SAS/ACCESS Engines
Analytics
• SAS Analytics Suite
Business Visualization
• SAS Mobile BI
• SAS Office Analytics
Data Management
• SAS Data Loader for Hadoop
• SAS Federation Server
• SAS Scalable Data Server
• SAS Data Management Platform
• SAS MDM
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LASR
inputoutput
concurrencycomplexity
HPA
inputoutput
concurrencycomplexity
Viya
inputoutput
concurrencycomplexity
• Reduce time to run highly complex algorithms
• Single user, batch use cases
• Reduce file I/O to run less complex algorithms repeatedly
• Support data sharing• Multi-user, interactive
use cases
• Solve use cases of HPA and LASR
• Allow processing in memory and on disk
• Deliver highly available, fault tolerant processing
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Our digital transformation to power the analytics economy
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Para
llel &
Ser
ial,
Pu
b /
Su
b,
Web
Ser
vice
s, M
Qs
Source-basedEngines
Microservices
UAA
QueryGen
Folders
CAS Mgmt
Data Source Mgmt
AnalyticsGUIs
etc…
BIGUIs
EnvMgr
ModelMgmt
Log
Audit
UAAUAA
Data Mgmt GUIs
In-Memory Engine
In-Database
In-Hadoop
In-StreamSolutions
APIs
Platform
Analytics
Data ManagementFraud and Security Intelligence
Business VisualizationRisk Management
!
Customer Intelligence
Cloud Analytics Services (CAS)
Data Enablement
IT Enablement
Cloud Enablement Developer Enablement
Solutions Enablement Platform for Transformation
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Data Connectors / Accelerators
Configdata
Data Sources(RDBMSs, flat files, web etc.)
User Content
Message queues
RESTful APIs
Microservices In-memory engine
SAS Studio Python/Java/Lua
programming interfaces
Microservice resources
Cloud Analytic Services
Persistence(HDFS, S3,
etc.)
Monitoring console
SAS web interfaces
Scripts, batch jobs, etc.Mobile apps
Web-based apps
User-developed software
CAS actions
Main Components of the SAS® Viya™ Platform
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Visual Interfaces
Programming Interfaces
API Interfaces
OPEN FOR BUSINESS
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Unified and Managed
P R O D U C E R S C O N S U M E R S
Publish
CommonMicro
ServicesShare Publish
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Information is subject to change.
H1 | 2017 H2 | 2017 H1 | 2018SAS Viya 3.2
• SAS Visual Analytics 8.1
• SAS Visual Statistics 8.1
• SAS Visual Data Mining & Machine Learning 8.1
• SAS Visual Forecasting
• SAS Econometrics
• SAS Optimization
• SAS Event Stream Processing
• SAS Visual Investigator 10.2
• SAS Visual Scenario Designer 10.2
• In-Database Technologies
• SAS Studio
Pipefitter for Python
R interface
SAS Viya 3.3
• SAS Data Preparation (New)• SAS Data Quality • SAS Visual Analytics 8.2• SAS Visual Statistics 8.2• SAS Visual Data Mining & Machine Learning 8.2• SAS Office Analytics • SAS Visual Forecasting• SAS Econometrics• SAS Optimization• “SAS Visual Text Analytics” (new)• SAS Model Manager• SAS Event Stream Processing• SAS Visual Investigator 10.3• SAS Visual Scenario Designer 10.3• SAS Event Stream Processing• In-Database Technologies• SAS Studio
SAS Viya 3.4
• SAS Data Preparation• SAS Data Quality• SAS Data Discovery (New)• SAS Data Integration • SAS Visual Analytics 8.3• SAS Visual Statistics 8.3• SAS Visual Data Mining and Machine Learning 8.3• SAS Office Analytics• SAS Visual Forecasting• SAS Econometrics• SAS Optimization• “SAS Visual Text Analytics”• SAS Model Manager• SAS Visual Investigator 10.4• SAS Visual Scenario Designer 10.4• SAS Event Stream Processing• In-Database Technologies• SAS Studio
SAS Viya Roadmap Highlights
Cloud Features
• Cloud Foundry deployments of:- SAS Visual Analytics 8.1- SAS Visual Statistics 8.1- SAS Visual Data Mining & Machine Learning 8.1
• Software-as-a-Service delivery of:
- SAS Visual Analytics 8.1
- SAS Visual Statistics 8.1
- SAS Visual Data Mining & Machine Learning 8.1
• Software-as-a-Service delivery of:
- Public REST APIs
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&
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Path to ConvergenceTechnical Steps to One SAS Platform
Currently Available
- “Bridges” to move data, publish models, and execute code between SAS Viya and SAS 9.4
H1 2017
- One EP for SAS 9.4 and SAS Viya
- One Python interface for SAS Viya and SAS 9.4 (“Pipefitter”)
H2 2017
- SAS 9.4 becomes a client of SAS Viya
H1 2018
- One platform for all SAS capabilities
Convergence
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3.1
SAS Viya platform
2017Q2
9.4 M5
2016
3.2 EA3.3 EA3.2 GA 3.3 GA
9.4 M4
One SAS Platform
Q12018
Q4Q3 H1
3.4
Additional 9.4-based offerings
SAS 9 platform
Convergence
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• One platform for accelerating analytics value
• Transition of code
• Transition of offerings
Path to Convergence
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Frequently Asked Questions
• What’s the future of SAS Studio?
• What’s happening to Enterprise Guide?
• Where did metadata go?
• What about stored processes?
• What in the world is developer.sas.com?
• Where can I find more information?
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What Are The New Opportunities?
• All actions are designed for parallel, distributed processing
• Support for SAS, Python, R, Java, Lua
• Access new machine learning algorithms
• SAS programs available as REST APIs
Value
• Scale methods without redefining code
• Enable and collaborate with new colleagues
• Expand your analytic toolkit
• Make your code portable
Opportunity
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Machine Learning
Artificial Intelligence
Deep Learning
Cognitive Computing
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• SAS Viya designed for fast scale-up, transition of analytic assets to production
• SAS 9 and Viya converge to a single platform• Existing code can continue to run with no changes
• New code designed for scalability
• Viya extends the benefits of SAS• SAS available to non-SAS coders
• Your SAS code is portable and reusable
Key Takeaways
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Thank you!Mike Frost
@miketfrost
Fiona McNeill
@fiona_r_mcn