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SAP In Memory Appliances

IBM and Bluefin Solutions

SAP’s In-Memory Strategy

Application

<Application Name>,

powered by SAP HANAExample:

SAP Smart Meter Analytics, powered by SAP HANA

Studio

SAP HANA

studio

Appliance

SAP HANA

appliance

software

Database

SAP HANA

database

Cloud

SAP HANA

application

cloud

Category

SAP in-memory computing

Platform

SAP HANA platform

Appliance

SAP BWA BW Indexes in

Memory

Platform

BW

Application

BW(Accelerated)

SAP BWA

High data volumes

Queries often require access to many millions, and in some cases billions

of records.

Challenging response time SLAs

Your community want predictable and stable response times for their

queries.

Unpredictable types of queries

Traditional optimization and caching strategies rarely handle drill down

and ad-hoc queries particularly well.

Aggregates

The use of aggregate helps with known common and known queries but

require custom design and takes up time and ongong consulting costs.

BWA Solution

Software Infrastructure

Novell SUSE Linux 10

IBM General Parallel File System (GPFS)

SAP NetWeaver BW Accelerator Software

IBM Hardware

IBM BladeCenter H with Intel Xeon Blades… or x3850

IBM Storage SAN DS3500

Specific IBM configurations tested and validated by SAP

Services

Integration with existing infrastructure

Services assemble hardware, install software,

and integrate BWA with SAP BI environment

On-going maintenance and upgrades and Monitoring

BWA Infrastructure

SAP NetWeaver BW BW accelerator

Data Acquisition

InfoCubes

BI Analytic

Engine

Business

Explorer

Any Tool

Any

Source

Query &

Response

Indexing

Engine responds to queries:

joins and aggregates in run time

Indexes loaded

into memory

BI accelerator creates and

stores Indexes for InfoCubes

BWA IBM Options & Service

Design

BWA sizing

Solution design (Single Appliance, High Availability)

Build

Software and Hardware configuration

Appliance commissioning and testing

Appliance relocation to Customer site

Integration and Test

Appliance integration to BW System at Client site

Appliance testing and initial Infocube acceleration

Query test and performance recording through transaction RSRT.

Handover Workshop

Managing the hardware, Starting and stopping BWA software

Upgrading BWA software

Checking GPFS cluster status

BWA Managed Service

Proactive Monitoring and Maintenance

Software Updates

Back-up and Provisioning

Performance Issues and “How To”

Version Upgrades

Annual Testing and Review

Blades

From 1 to 56 blades + IBM HS22 Blades with 2x 6 core Processors

24GB or 48GB per blade

For small installations with no High Availability System x 3850 Server

64GB or 128GB

BWA acceleration

Bread Manufacturer

0

5

10

15

20

25

30

35

40

52 Weeks 4 Weeks

Tim

e in

Se

con

ds

Query

Unit Sales

With Aggregates

With BWA

The two queries above both show that BWA provides this customer with large increases in performance on standard queries compared to aggregates. The best case of these two situations BWA provides a response 15 times faster than the same query with aggregates.

SAP Appliances:

BWA and HANA

BW Accelerator

TODAY… and 24 hours behind

…SAP HANA 1.0

BI Clients SAP Business Warehouse

BW Accelerator

SAP Business Suite

BI Clients SAP Business Warehouse

Mobile SAP HANA 1.0

SAP

Business Suite

© 2011 SAP AG. All rights reserved. 3 SAP Confidential

Instantly predict market trends and customer needs

SAP HANA – Imagine if you

Could...

Predict how market price volatility will impact your production plans

See changes in demand or supply

across your entire Supply Chain

immediately

Monitor and analyze all deviations and quality issues in your

production process

Provide exactly the right offers and service levels to every customer

Have a continuously-updated window onto future sales, showing

changes in real time

Understand what your customers and potential customers are saying about you, right now

Predict cash flows to manage collections, risk and short-term borrowing in real time

What is Inside HANA?

SAP HANATM - Preconfigured Appliance

Software + Hardware

IBM and others…

In-Memory Computing Engine Software

Data Modeling and Data Management

Real-time Data Replication Data Services for SAP

SAP Business Suite, SAP BW and 3rd Party Systems

Capabilities Enabled

Analyze information in real-time at unprecedented speeds on large volumes of non-aggregated data

Create flexible analytic models based on real-time and historic business data

Foundation for new category of applications (e.g., planning, simulation) to significantly outperform current

applications in category

Minimizes data duplication

The SAP HANA Database

12

In-Memory Row and Column Store Compression Partitioning In-Database Computing No Aggregate Tables Real-Time Replication

Insert Only on Delta

Column = Fast Queries

5 – 20x Analyze Large Data Sets

Complex Computations

Flexible Modeling

No Data Duplication

Fast Data Loads

How does it work

Getting Stuff into HANA

Sybase Replication Server (SRS)

• Database Table Replication i.e. near real-time (10 secs)

• Originally envisaged to be dominant

• DB2 Unicode Only

• No Compressed Tables

• No license support for Oracle/MSSQL

• Support for 1 ERP

Data Services 4.0 (DS)

• Extract, Transform & Load (ETL)

• Allows use of ERP Business Content Extractors

• Non-real-time (10 mins)

• Almost any data source

System Landscape Transformation (SLT)

• Technology from Test Data Migration Server (TDMS)

• Application-server trigger-based replication

• Avoids Oracle/MSSQL license problems

• Near real-time

SLT – A Bit More Detail

or

Getting Stuff Out of HANA

IBM SAP HANA Appliances

Hardware and software solution delivered as an optimized hardware appliance

Systems Deliver Real-Time Analytics

For businesses who need timely answers to vital business questions

HANA helps deliver

• Super-charged analytics performance

• Scalable to support the largest SAP installations

Resulting in

• Faster access to data and information with near real-time visibility into business operations

• Improved management decision-making capability

• Support growing numbers of users with a stable, improved query response

• Lower Total Cost of Ownership for SAP computing environment

Solution Components

• IBM x3950 X5 and x3690 X5 servers

• Novell SLES for SAP

• IBM General Parallel File System (GPFS)

• SAP HANA*

• Bluefin Services

HANA Sizing

• Decide which Use Case and or Rapid Deployment Services are to be used

• Bluefin will assess the tables to be extracted from the source systems

• Assume 5 to 20 times compression

• Allowances for SAP software

• Totals the Memory to be configured

• Right size appliance configured

Building block Server (MTM) CPUs Memory Log Storage Data Storage Software Preload

XS x3690 X5 (7147-H1x)

2x Intel Xeon E7-2870

128GB DDR3 (8x 16GB)

8x 50GB 1.8” MLC SSD

8x 300GB 10k SAS HDD

S x3690 X5 (7147-H2x)

2x Intel Xeon E7-2870

256GB DDR3 (16x 16GB)

8x 50GB 1.8” MLC SSD

8x 300GB 10k SAS HDD

SSD x3690 X5 (7147-H3x)

2x Intel Xeon E7-2870

256GB DDR3 (16x 16GB)

10x 200GB 1.8” MLC SSD (combined log and data)

S+ x3950 X5 (7143-H1x)

2x Intel Xeon E7-8870

256GB DDR3 (16x 16GB)

320GB FusionIO 8x 600GB 10k SAS HDD

M x3950 X5 (7143-H2x)

4x Intel Xeon E7-8870

512GB DDR3 (32x 16GB)

640GB FusionIO 8x 600GB 10k SAS HDD

L option (M+Scalability

Kit)

x3950 X5 (7143-H3x)

4x Intel Xeon E7-8870

512GB DDR3 (32x 16GB)

640GB FusionIO 8x 600GB 10k SAS HDD

Scale Up or Out

node01

GPFS

node02

•replication server •SAP HANA studio

- SAP HANA DB backup master

GPFS

HDD SSD

data01 log01

- SAP HANA DB master node

DB partition 1

HDD SSD

SAP HANA DB SAP HANA DB

1st replica

Primary dataset

DB partition 2

IBM configurations delivered with GPFS shared file system for seamless growth

Scale Out for SAP HANA

SAP HANA DB handles the failover to the hot-standby node in case of a node failure.

node03 node02 node01

GPFS

node04

•replication server •SAP HANA studio

- SAP HANA DB

GPFS

HDD SSD

data01 log01

- SAP HANA DB master node

DB partition 1

HDD SSD

SAP HANA DB SAP HANA DB

DB partition 2 DB partition

- SAP HANA DB backup master

HDD SSD

- SAP HANA DB

HDD SSD

1st replica

primary dataset

x DB partition 3

Outlook – HA for SAP HANA

(under validation)

Apply Re-Do Log

Recover DB partition 3 data

Questions?

SAP In Memory Appliances

For more information

IBM-SAP Alliance Web Site www.ibm-sap.com/hana

Partnerworld

www.ibm.com/partnerworld/sap

Bluefin Web Site www.bluefinsolutions.com

Bluefin Insights

www.bluefinsolutions.com/insights/

Thank You!

SAP In Memory Appliances

Building Real-Time

Analytics Apps with HANA

Why SAP HANA Now?

‘Large’ Data

Columnar Databases

Moore’s Law

Inflection Point?

What is SAP HANA?

An Appliance?

A Database / RDBMS?

A Platform?

Answer – All of the Above

SAP HANATM - Preconfigured Appliance

Software + Hardware

IBM and others…

In-Memory Computing Engine Software

Data Modeling and Data Management

Real-time Data Replication Data Services for SAP

SAP Business Suite, SAP BW and 3rd Party Systems

Capabilities Enabled

Analyze information in real-time at unprecedented speeds on large volumes of non-aggregated data

Create flexible analytic models based on real-time and historic business data

Foundation for new category of applications (e.g., planning, simulation) to significantly outperform current

applications in category

Minimizes data duplication

12

In-Memory

Row and Column Store Compression Partitioning

In-Database Computing No Aggregate Tables Real-Time Replication

Insert Only on Delta

Column = Fast Queries

5 – 20x

Analyze Large Data Sets

Complex Computations

Flexible Modeling

No Data Duplication

Fast Data Loads

How does it work

Getting Stuff into HANA

Sybase Replication Server (SRS)

• Database Table Replication i.e. near real-time (10 secs)

• Originally envisaged to be dominant

• DB2 Unicode Only

• No Compressed Tables

• No license support for Oracle/MSSQL

• Support for 1 ERP

Data Services 4.0 (DS)

• Extract, Transform & Load (ETL)

• Allows use of ERP Business Content Extractors

• Non-real-time (10 mins)

• Almost any data source

System Landscape Transformation (SLT)

• Technology from Test Data Migration Server (TDMS)

• Application-server trigger-based replication

• Avoids Oracle/MSSQL license problems

• Near real-time

SLT – A Bit More Detail

or

Getting Stuff Out of HANA

Today - SAP HANA 1.0 SP02

• Financial Services

Hedge fund trading analysis

Real-time systematic risk management and reporting based on market trading exposure

• Consumer Products Goods

Supplier Risk Management

Inventory Recall Reconciliation Product trace

Product Lifecycle and Cost management

EPA standards compliance

On-Shelf Availability Analysis

Real-time Warranty and defect analysis

• Manufacturing

Manufacturing Production and Maintenance

Analytics

Real-time Asset Utilization Analytics

• Oil & Gas

Operations Performance Management

Business Transformation

Oil Well Performance Analysis

Supply Chain Network Visibility

Spend Performance Analysis

• Retail

Store Operations

Point-of-Sales Retail Sales Analytics

Load Balance Optimization

Real-time completive multi-channel pricing

Product damage, returns and spoilage

These are All Custom-Built Scenarios and require a business case

Today - SAP HANA RDS

• RDS exists to replicate CO-PA to HANA

• Includes Data Replication (SLT)

Transformations (SAP HANA Studio)

Sample Reports (BI4)

Building a Business Case

HANA represents a significant investment Appliance:

Hardware

Software Licenses

Services Installation

Configuration: SAP or Partner Services

SAP & Partners provide Value Engineering Services Will a point solution provide ‘Proof of Value’?

Where is the process benefit?

Can business process change?

Who is impacted?

SAP HANA Demo

SAP HANA Demo

SAP HANA Studio

Modeling: SAP HANA Studio:

Creating Attribute View

Modeling: SAP HANA Studio:

Defining Attributes

Modeling: SAP HANA Studio:

Data Preview

Modeling: SAP HANA Studio:

Creating Hierarchies

Modeling: SAP HANA Studio:

Creating Analytic View

SAP HANA Studio:

Administration Console

Questions?

For more information

IBM-SAP Alliance Web Site www.ibm-sap.com/hana

Partnerworld

www.ibm.com/partnerworld/sap

Bluefin Web Site www.bluefinsolutions.com

Bluefin Insights

www.bluefinsolutions.com/insights/

Thank You

Appendices

• SAP HANA 1.0 SP03 (BW on HANA)

• SAP HANA Apps

• SAP HANA Beyond 2012

• Scale Out for SAP HANA

Appendix 1

SAP HANA 1.0 SP03

BW on HANA

SAP HANA 1.0 SP03

(AKA BW on HANA)

Appendix 2

SAP HANA Apps

H1 2012: SAP HANA Apps

• Strategic workforce planning (out now)

• Sales and operations planning (due Q3)

• Cash and liquidity management (due Q3)

• Trade promo management (due Q4)

• Smart meter analysis (due Q4)

• Profitability engine (due Q4)

• Customer revenue performance management (due Q4)

• Merchandising and assortment management (due Q4)

• Energy management for utility customers (due Q4)

• Customer-specific pricing (due Q4)

• Intelligent Payment Broker (Q4)

• SAP traditionally sells to industry

• SAP HANA 1.0 is a platform

• SAP HANA Apps are business content built on SAP HANA 1.0

SAP HANA Apps: SWP

Appendix 3

SAP HANA Beyond 2012

SAP HANA: Beyond 2012

Platform Consolidation

All applications (ERP and BW) run on data residing in-memory

Analytics and operations work on data in real time

In-memory computing executes all transactions, transformations, and complex data processing

Real Time Data Feed (2012/2013?)

Applications write data simultaneously to traditional databases as well as the in-memory computing

Appendix 4

Scale Out for SAP HANA

(AKA BW on HANA)

node01

GPFS

•replication server •SAP HANA studio

data01 log01

- SAP HANA DB

master node

DB partition 1

HDD SSD

SAP HANA DB

Primary dataset data01 log01

Currently only single server

configurations available

What about

growth and HA ?

Scale out for SAP HANA

node01

GPFS

node02

•replication server •SAP HANA studio

- SAP HANA DB

backup master

GPFS

HDD SSD

data01 log01

- SAP HANA DB

master node

DB partition 1

HDD SSD

SAP HANA DB SAP HANA DB

1st replica

Primary dataset

DB partition 2

IBM configurations delivered with GPFS

shared file system for seamless growth

Scale out for SAP HANA

node02 node01

GPFS

node03

•replication server •SAP HANA studio

- SAP HANA DB

GPFS

HDD SSD

data01 log01

- SAP HANA DB

master node

DB partition 1

HDD SSD

SAP HANA DB SAP HANA DB

DB partition 2 DB partition 3

- SAP HANA DB

backup master

HDD SSD

Primary dataset

IBM configurations delivered with GPFS

shared file system for seamless growth

Currently 4 node

cluster certified

( 4x 256GB &

4x 512GB )

1st replica

Scale out for SAP HANA

node03 node02 node01

GPFS

node04

•replication server •SAP HANA studio

- SAP HANA DB

standy node

GPFS

HDD SSD

data01 log01

- SAP HANA DB

master node

DB partition 1

HDD SSD

SAP HANA DB SAP HANA DB

DB partition 2 DB partition

- SAP HANA DB

backup master

HDD SSD

- SAP HANA DB

DB partition 3

HDD SSD

1st replica

Primary dataset

x

Introduce Standy nodes into cluster – initially

no specific identity and no persistent data

Outlook – HA for SAP HANA

(under validation)

SAP HANA DB handles the failover to the hot-

standby node in case of a node failure.

node03 node02 node01

GPFS

node04

•replication server •SAP HANA studio

- SAP HANA DB

GPFS

HDD SSD

data01 log01

- SAP HANA DB

master node

DB partition 1

HDD SSD

SAP HANA DB SAP HANA DB

DB partition 2 DB partition

- SAP HANA DB

backup master

HDD SSD

- SAP HANA DB

HDD SSD

1st replica

primary dataset

x DB partition 3

Apply

Re-Do Log

Recover DB

partition 3 data

Outlook – HA for SAP HANA

(under validation)