SAS® i en Cloud-miljö · • SAS® Results: Fraud Insights • SAS® Results: Customer Insights...

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SAS® FORUMOSLO 2019

SAS® i en Cloud-miljöKristoffer Nilsson, SAS Institute


What does SAS do in the cloud?


SAS provides cloud-deployable options that allow our customers to run SAS on

almost any private, public, or hybrid cloud infrastructure.

The SAS® Cloud combines software, infrastructure, and services that are designed and managed by SAS for

optimal performance and value.

SAS® on Cloud Providers


SAS® and Cloud ComputingCategories Overview


Software as a Service

Managed Services

Results as a Service

Cloud Deployment

Patterns

Cloud-Specific

Offerings

General Support for

Cloud Providers


SAS® CloudDescriptions

Results as a Service (RaaS)

Give us your data and problem, and we give you the answers on which you can take action.

Managed Services

Your software or infrastructure can be hosted or remotely managed by SAS experts 24/7.

Software as a Service (SaaS)

Off-the-shelf offerings designed to scale and fit for purpose. Sign up, log in, and get to work. Can be modified to your future needs.


Results as a Service (RaaS)

• SAS® Results: Analytic Insights• SAS® Results: Fraud Insights• SAS® Results: Customer Insights• SAS® Results: Retail Insights

Managed Services

• Remote Managed Services• Hosted Managed Services

Software as a Service (SaaS)

• SAS® Visual Analytics• SAS® Visual Statistics• SAS® VDMML• SAS® 360 Plan, SAS® 360

Discover, SAS® 360 Engage

SAS® CloudExample Offerings


Additional services from SAS, partners, or in-house

Customer SAS

Managed Services (Remote)

Managed Services (Hosted)

Results asa Service

(RaaS)On-Premises

Hosting

SAS Installation

Professional Services

Data Management and Analytics

ResponsibilitiesSoftware as

a Service (SaaS)

SAS Administration


Results asa Service

(RaaS)Managed Services

(Remote)Managed Services

(Hosted)

• Operating System

• Infrastructure & Hypervisor

• Data Center & Telecoms

• Data Storage

• SAS Software

• Benefits Realization

• Analytics/Data Science

• Data Storage

• SAS Software






• Data Storage


• SAS Software





Customer SAS

Responsibilities

• Data Storage


• SAS Software





Software as a Service

(SaaS)


• Generally all mainstream on premises infrastructure is supported• Bare metal• VM’s (VMWare, OpenStack etc.

• All cloud infrastructures are supported (AWS, Azure, GCP, Oracle, etc.)• IaaS = Infrastructure as a Service ( They are just servers)

• On-Prem vs. Cloud deployments• Almost identical deployment methods *

• Wherever you deploy analytics remember the CPU, IO & RAM

General Support forCloud Providers


• SAS Analytics for Containers• SAS Analytics for Containers on SAS Viya*• SAS support of Docker Containers and Kubernetes

Orchestration• SAS support of Cloud Foundry

Cloud Deployment Patterns


• Amazon: AWS Quick Start• Microsoft Azure• Oracle Cloud• Google Cloud Platform

Cloud-Specific Offerings



Information is subject to change.

Recent Releases Q1 2019 Q2 2019 Q3|Q4 2019 Q1|Q2 2020+ • SAS 9.4M6

• Hardened security• Updated JRE (Java 8)• Updated 3rd party parts

• SAS Studio 3.8 (on SAS 9.4)• SAS Grid Manager (9.4M6)• SAS Job Flow Scheduler• SAS Advance Analytics 15.1

• SAS Viya 3.4 Containers• Docker recipe

(programming only)

• SAS Analytics Cloud for ML

• Additional AWS Quick Starts

Cloud and Platform Roadmap

• SAS Viya 3.4 on Azure• VA, VS, VDMML, Data

Prep + Access

• Platform Solutions Bundles• Foundation• Data Science• Unified Insights• Unified Insights at Scale

• SAS Viya 3.4 Containers• Docker recipe including

full visuals

• SAS Enterprise Guide 8.1 (on SAS 9.4)

• SAS Viya 3.4 on Google Cloud Platform

• VA, VS, VDMML, Data Prep + Access

• SAS Viya 3.4 Containers• SAS-managed containers

for customer Infrastructure

• SAS Viya 3.4 Containers• Customer-managed

containers for Kubernetes environments

• SAS Viya 3.5• SAS Grid Manager• SAS Job Flow Scheduler• SAS Studio• SAS Environment

Manager

• Choice and Control with the SAS Platform• Moving Analytic Workloads to the Cloud

Committed-Future




RecentRelease

Highlights

Cloud and Platform

• Moving Analytic Workloads to the Cloud• SAS Viya 3.4 Containers - Docker recipes (programming only) on GitHub• SAS Analytics Cloud for ML • Updated and new AWS Quick Start templates

• Plus:• SAS 9.4M6 (with hardened security features, updated SAS Private JRE to Java 8)• SAS Studio 3.8 (on SAS 9.4)• SAS Grid Manager (new SAS-developed grid provider)• SAS Grid Manager for Platform (original IBM-developed grid provider)• SAS Job Flow Scheduler• SAS Advanced Analytics 15.1




Q1

2019Release

Highlights

Cloud and Platform

• Choice and Control with the SAS Platform• Platform Solutions Bundles:

- Foundation- Data Science- Unified Insights- Unified Insights at Scale

• Phase 1 of Metered Billing (limited availability; pre-qualification required)

• Moving Analytic Workloads to the Cloud• SAS Viya 3.4 on Azure (Cloud Rapid Deployment templates include VA, VS,

VDMML + Data Prep + key Access engines)• SAS Viya 3.4 Containers: Docker recipes for full VA/VS/VDMML




ReleaseHighlights

Q2

2019

Cloud and Platform

• Moving Analytic Workloads to the Cloud• SAS Viya 3.4 on Google Cloud Platform (Cloud Rapid Deployment templates

include VA, VS, VDMML + Data Prep + key Access engines)

• Plus:• SAS Enterprise Guide 8.1 for SAS 9• SAS Environment Manager 2.6




FutureHighlights

Q3|Q4 2019

Cloud and Platform• Moving Analytic Workloads to the Cloud

• SAS Viya 3.4 Containers – SAS-managed- Customer Infrastructure- Software-as-a-Service experience- VA, VS, VDDML + Data Prep + key Access engines

• SAS Viya 3.4 Containers – Customer-managed- Kubernetes environments- VA, VS, VDDML + Data Prep + key Access engines

• SAS Viya 3.4 Rapid Cloud Deployments (AWS, Azure, and GCP)- Larger machine instances sizes (higher core count)- GPU support- Additional Access engines.

• Plus:• SAS Viya 3.4 on PowerLinux


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SAS® i en Cloud-miljö · • SAS® Results: Fraud Insights • SAS® Results: Customer Insights...

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