SAS Platform Strategy Prepared for FANS usergroup. Mike Frost, Director, Product Management Fiona McNeill, Global Product Marketing

Transcription

1 SAS Platform Strategy Prepared for FANS usergroup Mike Frost, Director, Product Management Fiona McNeill, Global Product Marketing

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3 Information is subject to change. Q Q Q Q H Business 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

4 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 input output concurrency complexity HPA input output concurrency complexity LASR input output concurrency complexity Viya

5 Our digital transformation to power the analytics economy

6 Parallel & Serial, Pub / Sub, Web Services, MQs Data Enablement Source-based Engines Platform for Transformation Solutions Enablement Customer Intelligence Analytics In-Stream In-Hadoop In-Database Cloud Analytics Services (CAS) In-Memory Engine UAA UAA UAA Data Source Mgmt Folders etc Microservices BI GUIs CAS Mgmt Log Analytics GUIs Data Mgmt GUIs Query Gen Env Mgr Model Mgmt Audit Solutions APIs Business Visualization Risk Management! Fraud and Security Intelligence Data Management IT Enablement Cloud Enablement Platform Developer Enablement

7 Main Components of the SAS Viya Platform SAS web interfaces SAS Studio Python/Java/Lua programming interfaces Monitoring console RESTful APIs Cloud Analytic Services CAS actions Web-based apps Scripts, batch jobs, etc. Mobile apps User-developed software Microservices In-memory engine Data Connectors / Accelerators Message queues Config data User Content Microservice resources Data Sources (RDBMSs, flat files, web etc.) Persistence (HDFS, S3, etc.)

8 OPEN FOR BUSINESS Visual Interfaces Programming Interfaces API Interfaces Company Confidential For Internal Use Only

9 P R O D U C E R S C O N S U M E R S Share Unified and Managed Common Micro Publish Services Publish Company Confidential For Internal Use Only

10 SAS Viya Roadmap Highlights H H H SAS Viya 3.2 SAS Viya 3.3 SAS Viya 3.4 Information is subject to change. 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 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 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 Cloud Features Cloud Foundry deployments of: - SAS Visual Analytics SAS Visual Statistics SAS Visual Data Mining & Machine Learning 8.1 Software-as-a-Service delivery of: - SAS Visual Analytics SAS Visual Statistics SAS Visual Data Mining & Machine Learning 8.1 Software-as-a-Service delivery of: - Public REST APIs

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12 Path to Convergence Technical Steps to One SAS Platform Currently Available H H H Bridges to move data, publish models, and execute code between SAS Viya and SAS One EP for SAS 9.4 and SAS Viya - One Python interface for SAS Viya and SAS 9.4 ( Pipefitter ) - SAS 9.4 becomes a client of SAS Viya - One platform for all SAS capabilities Convergence

13 Q1 Q2 Q3 Q H EA 3.2 GA 3.3 EA 3.3 GA M4 SAS Viya platform SAS 9 platform Additional 9.4-based offerings 9.4 M5 Convergence One SAS Platform

14 Path to Convergence One platform for accelerating analytics value Transition of code Transition of offerings

15 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?

16 What Are The New Opportunities? Opportunity 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 Company Confidential For Internal Use Only

17 Machine Learning Deep Learning Artificial Intelligence Cognitive Computing Copyr i g ht 2016, SAS Ins titut e Inc. All rights res er ve d.

18 Key Takeaways 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

19 Mike Thank you! Fiona