Sap_Real Time Data Platform

What every SAP customer should know about

SAP’s Real-Time Data Platform

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Data Management at the Speed of Business

Carl Olofson

Research Vice President

IDC

Jun-12 © IDC Visit us at IDC.com and follow us on Twitter: @IDC

4

Agenda

The Challenge

Keeping Up with the Accelerating Pace of Business

The Pressure of Big Data: Social and Machine Data

Responses

Real-Time Decisioning

From Disk-Based to Memory-Based Data Management

Putting It All Together

Conclusions / Recommendations

Source:/Notes:


Challenge: the Accelerating Pace of Business

The Internet

Impact

The Amazon

Effect: Instant

Transactions

Online

Banking:

Reduced

“Float” Time

Online

Trading:

Instant

Decisions

Globalization:

No Batch

Windows

5


Challenge: Big Data

Big Data Technologies

New Low Cost Ingestion and Analysis

– Hadoop / MapReduce

– Graph Database

Enhanced Old Friends

– Scalable Data Warehouse

– Large Scale IMDB

Big Data Opportunities

Social Media Analysis

– Customer Sentiment

– New Market Opportunities

Machine Data (Sensors)

– Improve Efficiency, Service

– Better Utility Pricing

6


Big Data Use Cases

Revenue assurance

Churn analysis

Pricing optimization

Smart meter monitoring

Fraud Detection

Traffic flow optimization

Customer behavior analysis Social network analysis

Legal discovery

Healthcare outcomes analysis

Life sciences research

Natural resource exploration

Weather forecasting

IT infrastructure optimization

Warranty management

Document mgmt and access

Web application optimization

Advertising analysis

Equipment monitoring


Response: Real-Time Decisioning

Strategic

Deep analytic models and data warehouse reporting inform executive decision making

Data analysts comb tons of data, executive management makes the decisions

Operational

Project or product-focused data is collected and analyzed

End-users run queries against data marts and adjust their project or product plans

Tactical

Immediately available current data and streaming data are presented.

Line and field staff, or automated computer algorithms, make decisions.

8


Market Landscape – Decision Management Framework

Operational decisions

focus on a specific

project or process and

result in the formation

of a type of policy or

rule that drives tactical

decisions.

Tactical decisions

must apply the policy

or rule in a specific

case, which lends

itself to automation

Strategic decision

set the long-term

directions for the

organization, a

product, a service, or

an initiative and result

in guidelines within

which operational

decisions are made

Degree of Automation

Strategic

Decisions

Operational

Decisions

Tactical

Decisions

Scope and Degree of Risk

Level o

f Co

llab

ora

tion

Nu

mb

er

of

Decis

ion

s

Decision management is the systematic application of enabling technology to manage

the process of making strategic, operational, and tactical decisions.


Response: From Disk-Based to Memory-Based Data Management

Disk-Based Data Management

Complex Operations

Requires Disk Based Mapping and Tuning

Inefficient Use of Disk

Memory-Based Data Management

Simple Operations

No Disk-Based Tuning

Disk Is for Snapshots and Logs Only

Requires Much Less Administration

10


Disk-Based Data Management

11

Table rows are kept in disk records, which are kept in pages on disk, each of which has table of contents.

The rows of one table may be scattered across many pages, and rows of different tables may be mixed in the same page. A database key contains the page and record (or line) number of the record containing a given row. The DBA determines the data storage strategy, designed to minimize disk i/o.

Reading a row from a table (typical operation, best case scenario)

Use database key to determine which page and record the row is in.

Use page memory map to determine if the page is in memory and if so, what its location is.

Use the page table of contents on the page to determine the offset into the page where the record is to be found.

Perform the calculation, find and retrieve the row into session memory.

Page 1 Page 2

Page 3 Page 4

Page 5 Page 6

Page 7 Page 8

Buffer (memory)

Page 1

Page 2 Page 3

Page 4

Page 5

Page 6 Page 7

Page 8

Page

Memory

Map


Memory-Based Data Management

12

Memory Space

General Notes

Memory space swaps to disk as needed and all addressing is memory-based.

Because data is in unbounded memory space, constraints like pre-emptive locking, are not necessary.

Types

Row-based blocks: row values held in contiguous indexed blocks

Column-based blocks: column values held in contiguous indexed blocks, cross-indexed by row

Cell-based matrix: table, row, and column indexes point to arrays of individual cells; values are in the cell blocks, or the cells are pointers to value pools.

Note: these are not actual architectures, but greatly simplified models that reflect approaches taken in various and diverse real DBMS products.

Memory Space

Row Row

Row

Row

Row

Row

Row Row

Row

Row Row Row

Row

Row

Row

Row

Row Row Row Row

Row-Based Blocks

Memory Space

Column Column

Column

Column

Column

Column

Column Column

Column

Column Column Column

Column

Column

Column

Column

Column Column Column Column

Column-Based Blocks Cell-Based Matrix

Table Column Column Column

Cell Cell Cell Row

Cell Cell Cell Row

Cell Cell Cell Row

Cell Cell Cell Row



Big Data Support

Interconnection with Hadoop / MapReduce

Scalable data warehousing

Real-Time Decisioning

Complex event-driven processing (CEP) of messages

High speed dynamic data movement and database replication

Memory-Based DBMS

In-memory database mixed with relational capability

Compatibility with classic RDBMS functionality

13



14

CEP

Engine Streaming Data

Hadoop

Business Action

Immediate Query

Data

Warehouse

Enterprise Analytics

IMDB

High Speed Transactions and

Automated Decisioning

Real Time BI


Conclusions / Recommendations

Conclusions

The pressures of business today demand high speed data acceptance, ingestion, movement, and analysis to drive automated and timely operations and decisions.

The requirements of such an environment include CEP, IMDB, columnar RDBMS, and dynamic data movement.

No one vendor today has all these capabilities “fully baked” in existing products.

Recommendations

Make a strategic commitment to a technology provider that can deliver advanced capabilities today, and has a roadmap that includes full memory-based DBMS (both row-based transactional and column-based analytic), Big Data connectivity, advanced analytics, and CEP-driven real-time processing.

Ensure that such a vendor offers or fully supports your operational and analytic applications both now and in the future.

15

What every SAP customer should know about

SAP’s Real-Time Data Platform

Dan Lahl

Sr. Director, SAP Sybase Product Marketing

© 2012 SAP AG. All rights reserved. 17

Having data is not enough! Are you a real-time business ?

Drive Excellence

IT Delivers ahead of business

How can you predict supply

chain disruptions ahead?

How do suppliers rank by

cost, quality and timeliness?

How is my “on-time/in full”

delivery rate by customer?

Win Customers

Will my systems deliver

real-time performance for

customers?

Which customer profiles are

suitable for loyalty rewards?

How dynamic is your

customer segmentation

strategy?

Deliver Innovation

How are products/services

doing vs. their competition?

Track complaints from call

centers and social data in

real-time?

Where else is this part used

in my company?


SAP data management vision Protect current and extend customers’ future needs

SAP Real-time Data Platform Extreme capabilities to

transact | move | store | process | analyze

Social Analytics Mobile Big Data Cloud


The future of database technology

In-m

em

ory

Co

mp

uti

ng

Ad

op

tio

n

Tra

dit

ion

al

Data

base A

do

pti

on

Time

2012 – Cost per Terabyte

Disk

Memory

$60

$4,900

1990 – Cost per Terabyte

Disk

Memory

$9,000,000

$106,000,000

Typical access speeds

Disk

Memory

Speed

(13ms) 13,000,000 ns

10 ns

1,300,000

Falling prices move processing

from Disk/SSD to In-Memory


SAP HANA Benchmark

1000X better

SAP 100B rows / Sec 100 TB Benchmark 100B Sales and Distribution Records 16 Node IBM X5 $640K Loading: 16M/min. 20x Compression BW Workload: 300ms - 500ms Ad-Hoc Analytics: 800ms - 2s No Database Tuning, No Indexes, No Caching.

Oracle

“With lightening fast scan

speed of up to 100 million

rows/second and

enhancements like support

for analytical functions and

up to 10x columnar

compression, TimesTen for

in-memory analytics

delivers faster reports &

dashboards for

departmental as well as

enterprise wide

consumption.”

VS.


Guiding principles SAP’s current innovative data assets

SAP Real-time Data Platform

SAP HANA

SAP Sybase

SQL Anywhere

#1 Mobile

and Embedded

Database

#1 Transactional

Database with

Best TCO

SAP Sybase ASE SAP Sybase IQ

#1 Analytics

Database with

Best TCO

Sybase ESP,

Replication Server,

PowerDesigner, + SAP EIM

#1 Unified

EIM platform for

Real-Time

Open for

Partners


Real-time Business

Integrated OLTP + OLAP

capabilities (SAP + Custom)

Extended mobile

deployment

Autonomic data movement

Consolidated orchestration

environment

Real-time on Big Data

Extend OLTP for extreme

transactions

Expand Big Data with in-

memory capabilities

Optimize movement and

ability to ingest across all

DI methods

Data Management for

OLTP & Analytics

Application transparency

for OLTP + analytics

Tiered data for analytics

Optimized data movement

choices

Integrate Optimize

SAP Real-time Data Platform Vision/roadmap

Synthesize

SAP innovation without customer disruption


Next generation SAP Real-time Data Platform

3rd Party

BI Client

SAP NetWeaver (On Premise / Cloud)

Custom

Apps

SAP Business

Suite

SAP Business

Warehouse

SAP Big Data Applications

SAP Analytics

SAP Mobile

Open Developer APIs and Protocols

Co

mm

on

L

an

ds

ca

pe

M

an

ag

em

en

t

SAP Smart Data Services Platform

SAP HANA Platform


SAP Sybase ASE

Co

mm

on

M

od

eli

ng

Syb

ase P

ow

erD

esig

ner

HA

DO

OP

3rd

Pa

rty D

B

MP

P

Sc

ale

-Ou

t SAP Sybase SQLA

SAP Sybase ESP

SAP Sybase IQ

SAP Sybase

Replication Server

SAP Data

Services SAP MDG, MDM

SAP innovation without customer disruption


Today’s complex IT environment

ERP

DB

CRM

DB

Planning

DB

Other Apps

DB

EDW

DB

EDW

DB

EDW

DB

EDW

DM

DM

DM

DM

DM

DM

DM

DM


Transforming enterprises with

the SAP Real-time Data Platform

Freedom to Innovate. New Apps. New Experiences.


ABAP, Java, Native App Services

ERP Other Apps Planning New Apps EDW EDW EDW EDW EDW DM

RAM-optimized infrastructure appliance.

Enterprise cloud. Public cloud.

Easy, self-service, integration and operation services.


Key messages for SAP customers


Delivering Innovation without Customer Disruption

Innovation Simplification

SAP Business

Suite

SAP Business

Warehouse

SAP Biz Analytics

SAP NetWeaver

SAP Mobile Apps

NEW SAP/Custom

Apps

Foundation for next generation applications

Business app logic, planning engine,

predictive libraries in the platform

Current Apps will be renewed

Massive simplification in layers resulting

in lower cost and complexity

Lower TCO and optimized choice

MaxDB still supported for Business Suite


Sybase ASE: Key Element of the SAP Business Suite

Foundation and SAP RTDP

Simplify support of

SAP Business Suite

through single

vendor.

Sybase ASE and

SAP Business Suite

Foundation now have

integrated

development, testing

and support teams.

Best Support

Maintained by SAP and

optimized for SAP

Business Suite

applications.

Will feature native

interoperation with

complementary products

such as replication

server and SAP HANA.

Best

Optimized Industry analysts agree,

Sybase ASE has lowest

total cost of ownership

of leading RDBMS

products.

SAP Business Suite

customers benefit from

industry-leading

database platform at the

lowest cost.

Best Savings


SAP Sybase ASE:

Trusted And Relied Upon By Thriving Global Corporations

Source: Forrester Research Enterprise DBMS Wave, Q2 2009

30,000+ customers world

wide

90% of banks &

securities firms

700 new customers

in 2011

97% customer

satisfaction rating

Leader in Forrester

DBMS Wave

#1 database on Wall

Street 4 years

running Waters, 2011


Business Suite on Sybase ASE

Supported Platforms & Current Customers in Production or PoC / Purchased

Supported Applications: SAP ERP 6.05 / 6.06

SAP CRM 7.01 / 7.02

SAP SRM 7.01 / 7.02

SAP SCM 7.01 / 7.02

SAP NetWeaver 7.02 / 7.30 / 7.31

SAP WebAS 7.02 / 7.30 / 7.31

SAP NW BW 7.02 / 7.31

SAP NW Portal 7.3

SAP NW CE / CAF 7.3

SAP PI 7.02 / 7.31

SAP Solution Manager 7.1

Supported operating systems Windows Server 2008 R2 x64

RedHat EL6 on x86_64 64bit

SuSE SLES 11 SP1 on x86_64bit

IBM AIX 7.1

HP-UX 11.31 on IA64 (Itanium 64bit)

Solaris 10 on SPARC

Administradora Colombiana de Pensiones

Colpensiones Repúblca de Colombia

Production

PoC / Purchase

http://www.ril.com/


Migrate With Less Disruption and Risk

Migrating to Sybase ASE was fast and straight forward. The integrated Business Suite and ASE

solution enables SAP IT to lower our total operational cost while at the same time making better use of

IT resources through integrated management tools like DBA Cockpit

Oliver Bussman, CIO, SAP AG

” “

Process to Minimize Downtime

Expertise To Reduce Risk

Plan To Manage

Risk

Methodology

Down Time between 12 to 72

hours

Fits in most weekend

maintenance window

Near Zero downtime available

with Replication Server

SAP Services Trained migration specialists

Completed 200+ migrations across all

databases in last 24 months

Global Ecosystem Partners Training and certification

Plan Migration Fixed cost/scope to accurately plan

migration effort

Packaged Services Rapid Deployment Package

Migration Services (Go Live < 5

Weeks)


Summary

1 Customers can trust that SAP has a comprehensive data management vision and strategy to address their business issues

2 SAP and Sybase come together to build a Real-time Data Platform for next generation customer applications

3 SAP customers have a clear path to reduced complexity and non-disruptive innovation – starting today with SAP Sybase ASE


Next Step with SAP and the Real-Time Data Platform

Join SAP Experts at the One Day

SAP Sybase ASE

Technical Academy

Learn About

• Live Demo of Business Suite + ASE

• Migration of SAP Applications to ASE

• SAP RDBMS Migration Tools

• Migration Resources

• Total Cost of Ownership with ASE

• ASE Product Features

Academy Agenda

• SAP Database and Technology

• SAP Sybase ASE Overview

• SAP Sybase ASE Value and TCO

• SAP Business Suite migration to ASE

• SAP DBA Cockpit to manage ASE

• ASE Backup & Recovery with SAP Sybase

Replication Server

*For the Academy near you, call your SAP Representative


Questions and Answers

Thank You!

Documents

Sap_Real Time Data Platform