sap business warehouse, sap hana and sybase iq (1).pdf

Data Warehousing Solutions from SAP

One Happy Data Warehouse family

SAP Business Warehouse, SAP HANA and Sybase IQ

Nov 2011

© 2011 SAP AG. All rights reserved. 1 Confidential

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All forward-looking statements are subject to various risks and uncertainties that could cause actual results

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The Most Comprehensive Solution Portfolio From the Leader in Business Analytics

Strategy Management

Planning, Budgeting, and

Forecasting

Profitability and Cost Management

Financial Consolidation

Enterprise Performance Management

Disclosure Management

Enterprise Data Warehouse

RDBMS

Enterprise Data Warehousing

Reporting and Analysis

Dashboards and Visualization

Data Exploration Mobile

BI Platform

Business Intelligence

Enterprise GRC Access Risk Management

Global Trade Services

Continuous Transaction Monitoring

Governance, Risk, and Compliance

Data Services

Master Data Management

Event Processing

Content Management

Enterprise Information Management

Information Governance

Analytic Applications

By LoB Service, Sales, and Marketing

Procurement

Supply Chain

Finance

Sustainability

IT, HR, and more…

By Industry Financial Services

Public Sector and Healthcare

Manufacturing

Consumer Products

Retail and Telco

Utilities and more….


Data Warehousing Solutions from SAP Comprehensive data foundation enabling price/performance optimization

Complex and diverse challenges

Real-time analytics

– Immediate availability of data for analysis

– Fast and easy creation of ad-hoc views

Big data

– Massive data volumes

– Structured and unstructured data

Efficiency

– Reduce complexity and minimize TCO

Sophisticated information landscapes

High-performance operational analytics

– In-memory and disk storage

Enterprise data warehousing

– SAP and non-SAP source systems

– Complex transformations

Customer choice via complementary and

inter-operable solutions

SAP HANA

Sybase IQ

– Sybase PowerDesigner

SAP NetWeaver Business Warehouse

– SAP NetWeaver BW Accelerator

Disk


1. SAP NetWeaver Business Warehouse

2. SAP HANA Appliance

3. Sybase IQ

4. Sybase Power Designer

5. Teradata Foundation for SAP NetWeaver BW

6. SAP BusinessObjects Rapid Marts

Most Complete Offering Data Warehousing Solutions from SAP


SAP NetWeaver Business Warehouse Strong EDW capabilities

Reliable

Data Acquisition

Business

Content

Streamlined

Operations

Lifecycle

Management

Fast, sustainable implementation through:

Modeling Patterns

Business Content

Openness and data quality through:

Out-of-the box integration for data originating in SAP systems

Integrated with SAP BusinessObjects Data Services (Data Integrator and Data Quality Management)

Efficient data management through:

Management of data consistency

Sophisticated Security, Authorization and Identity Handling

High availability

Enable sophisticated lifecycle management at different levels:

System

Meta Data

Data (Nearline storage, archiving)

Integrated, scalable Enterprise Data Warehouse (EDW) platform

EDW = Database + X


SAP NetWeaver Business Warehouse Stable Product, Large installed Base, Constant Growth

Adoption of SAP NetWeaver BW constantly growing

Unaffected by economic down-turn in 2009

More than 12000 customers referring to more than 15000 productive systems

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12,500

13,000

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14,000

14,500

15,000

15,500

16,000

Q3 0

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Q4 0

9

Q1 1

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Q2 1

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Q3 1

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Q4 1

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Q2 1

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Productive SAP NetWeaver BW systems – constant growth



Overview

Staging

Acceleration Archiving

EDW based on the Layered Scalable

Architecture (LSA) that satisfies the

need of decision makers across all areas

of a company and acts as a single point

of truth for any kind of information.

Includes capabilities for data flow

modeling, ETL process modeling, real

time data acquisition, scheduling,

administration lifecycle management,

and high performance OLAP

processing.

What is SAP NetWeaver Business Warehouse


In-Memory Computing – a new Lifestyle

Technology that allows the processing

of massive quantities of real time data

in the main memory of the server

to provide immediate results from

analyses and transactions


In-Memory Computing

“By 2012, 70% of Global 1000 organizations will load detailed data into

memory as the primary method to optimize BI application performance.”

- Gartner

Conventional Databases

Disk Read

5 milliseconds

In-Memory Databases

Disk Read

5 nanoseconds


A Shift of Frontiers in Computer Science Freely Adapted from Jim Gray, Turing Award Winner 1998

Tape is Dead

Disk is Tape

Main Memory is Disk

CPU Cache is Main

Memory


SAP In-Memory Evolution

SAP BusinessObjects

and other Applications

SQ

L

MD

X

BIC

S

SAP HANA

SAP

ECC

SAP BW

3rd Party

Real-

Time

Replicati

on

SAP BusinessObjects

Data Services

SAP BWA

Accelerate BWA

Explorer

Open Acceleration

Self-Service BI

SAP HANA

In-Memory Platform

2007 2009 2010+


What is SAP HANA

A flexible, data source agnostic in-memory

appliance to quickly process and analyze

large volumes of transactional data in real

time

Includes capabilities for calculation

processing, data modeling, lifecycle

management, security, operations, and so

forth

Combines SAP software components

optimized on hardware (blades) provided,

and delivered, by SAP’s leading hardware

partners.

SAP HANA Appliance

Overview

SAP HANA Modeling Studio

Real-Time Data Replication

SAP HANA™

SAP BusinessObjects BI Solutions

SAP Applications Non SAP Data

sources

SAP HANA Database

Calculation Engine

Row & Column In-Memory

SAP BusinessObjects Data Integrator


In-Memory Computing – The Time is NOW Orchestrating Technology Innovations

HW Technology Innovations

64bit address space – 2TB in

current servers

100GB/s data throughput

Dramatic decline in

price/performance

Multi-Core Architecture (8 x 8core CPU

per blade)

Massive parallel scaling with many

blades

One blade ~$50.000 = 1 Enterprise

Class Server

Row and Column Store

Compression

Partitioning

No Aggregate Tables

The elements of in-memory computing are not new. However, dramatically improved hardware economics and

technology innovations in software have now made it possible for SAP to deliver on its vision of the Real-Time

Enterprise with in-memory business applications

SAP SW Technology Innovations


Fast – Software Optimization for Memory

Conventional databases store records in rows

Storing data in columns enables faster in-memory processing

of operations such as aggregates

Columnar layout supports sequential memory access

A simple aggregate can be processed in one linear scan

A 10 € B 35 $ C 2 € D 40 € E 12 $

A B C D E 10 35 2 40 12 € $ € € $

memory address

organize by row

organize by column

A 10 €

B 35 $

C 2 €

D 40 €

E 12 $

conceptual view

mapping to memory


SAP HANA™

■ In-Memory software + hardware

(HP, IBM, Fujitsu, Cisco, Dell)

■ Data Modeling and Data Management

■ Real-time Data Replication

■ SAP BusinessObjects Data Services for ETL

capabilities from SAP Business Suite, SAP

NetWeaver Business Warehouse (SAP NetWeaver

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

■ Minimize data duplication

SAP In-Memory Appliance (SAP HANA™)

SAP HANA Studio

Real-Time Data Replication

SAP HANA™

SAP

Applications Non SAP Data

sources

SAP HANA Database

Calculation Engine

Row & Column In-Memory

SAP BusinessObjects Data Integrator

SAP Information Composer

SAP BusinessObjects

BI Solutions

Other

Applications


SAP HANA Proof Points

460B Data records

analyzed in less

than a second

21% Average increase

in revenue

3600x Faster reporting

speed


A platform for delivering a new class of real-time analytics

and applications

Real-time analytics

SAP Business Suite Third-party systems

SAP HANA

Microsoft

Excel

SAP Business

Objects solutions

Other devices

(mobile)

Real-time replication services

Data services

Real-time

applications

In-memory database

Planning and calculation engine

Business function library

Application services

SAP NetWeaver

Business Client


HANA

Operational Performance Applications

Planning Simulation

Forecasting

SAP ERP Acceleration

real-time replication

service

DATA SERVICES

Premium connectors &

Content

Any Data Source

Acceleration

SAP Business Objects BI

APPLICATIONS RUNNING ON SAP HAHA

TODAY

SAP BusinessObjects Strategic workforce

planning

SAP CO-PA Accelerator

SAP ERP Operational Reporting

SAP Smart Meter Analytics

TOMORROW

Lines of Business

Industries

Cross

SAP Applications Running on SAP HANA

Roadmap


SAP HANA: Value Proposition Addressing Key Business Drivers

Make Decisions in Real-time

Fast and easy creation of ad-hoc views on business

Access to real time analysis

Accelerate Business Performance

Increase speed of transactional information flow in

areas such as planning, forecasting, pricing, offers…

Unlock New Insights

Remove constraints for analyzing large data

volumes, trends, data mining, predictive analytics…

Structured and unstructured data

Increase Business Productivity

Business designed and owned analytical models

reduce reliance on IT

Use data from anywhere

Improve IT Efficiency

Manage growing data volume and complexity

Lower landscape costs

Speed

Scale

Flexibility


Sybase IQ Product Profile

Grid Based Column Store

Fast Complex Queries High Performance Data

Loads Storage, User Scalability

Non-relational Data Support

Schema Independent

3NF, Star, Flat

Standard Connectivity: ODBC, JDBC OLE-DB

Standard Language: ANSI SQL

Platform Agnostic: Linux, Unix,

Windows

Outside: Standards based open interfaces enables best-of-

breed eco-System

Inside: Architected

ground up for High Performance

Analytics

© 2010 SAP AG. All rights reserved. /

What Analysts Say

Gartner

• “During the past few years, Sybase has shown increased ability to

move from offering an analytic data mart to offering an enterprise

data warehouse DBMS. “

• “The company has consistently won POCs with analytic

applications, sometimes with performance 100 times greater than its

competitors. “

• “We believe Sybase will achieve increased market share growth in

2011 and beyond. “

Gartner, Jan 2010 MQ for DW Database Mgt Systems

Forrester • “Sybase’s mature columnar EDW platform, coupled with a fresh

injection of development capital from new parent SAP, gives it a

competitive advantage.”

• “Expect SAP Sybase to leverage these strengths, plus intensify

its focus on in-memory and in-database analytics, to grow its

share of the EDW market among large enterprises requiring

robust real-time analytics solutions.”

Forrester, Feb 2010 EDW Platform Wave


Sybase IQ Widespread Adoption

Stands out as the

leading enterprise

data warehouse

amongst the largest

banks, insurance

agencies, and telecom

operators worldwide Manage and analyze

statistical measures

for the entire nation

of Canada

Analyze complex

models in more than

200 financial

institutions

worldwide

Analyze ALL Federal

tax returns in the US

Store and Analyze massive amounts of industry segment data in 30 of

the largest information providers in the world, including Transunion,

Nielsen

and Axiom


Sybase IQ Designed for Analytics

Each column is stored separately

Bitmapped Index

Index on every column

Fast access and load

Data Is Stored Vertically

Input data is compressed

Usually = 40%-70%

Database smaller than input data

Even with all the indexes

Optimized Storage

Reduces system I/O dramatically

Average 90% less than competition

Permits better data manipulation

Easy to alter and manage

Query Engine Retrieves

Only Columns Used in the Query

Design based on application use

Flat, Star, Relational, Snowflake

Any schema

Schema Design Not Restricted


Designed and optimized for fast query processing

More efficient utilization of hardware resources

Accelerating Reporting Systems

Sybase IQ

Offload

Reporting

Data

Operational

System's)

Reporting

and Decision

Support

Systems

Reporting

Applications

and Users

ETL

Replication

Data warehouse's

Order Entry Sybase ASE

Billing DB2

Inventory Oracle

Offload scheduled production reports, on-demand reporting, KPIs, and dashboards from

transactional systems or databases to a Sybase IQ column-based analytics server


Accelerating Advanced Analytics

Custom SQL/C++ UDFs

Tool Kit VisualNumerics.

Package App Fair Isaac,…

ETL Custom Replication

Transaction

Database

Flat Files

EDW

Speed for complex

queries on large

data sets

VLDB scaling

deep analysis

Speed for complex

unplanned/ad-hoc

queries

Support for

visualization/simula

tion/analysis tools

Logical Servers for

Virtual Data Marts

Source

Data Integration

Enterprise

Data Warehouse

Analytical Data Marts

Analysis Interface

Users/Analysts

Text Files

Power Users

IQ

IQ

IQ


Data Compression Dramatically Reduces Storage and Maintenance

Base table:

0.2 - 0.5 TB

Indexes:

0.05 - 0.3 TB

Aggr/Summ:

0 - 0.1 TB

Conventional DBMS

Summaries

Aggregates

1 – 2 TB

Indexes

0.5 – 3 TB

Base table

―RAW data‖

no indexes

0.9 – 1.1 TB

2.4-6

TB

0.25 - 0.9

TB

Same INPUT data:

―Conventional DW‖

is 3x-6x larger than

Sybase IQ DW

LOAD

Source: flat files, ETL, replication, ODS

LOAD

INPUT DATA:

1 TB


Sybase IQ Integrated Text Analysis

Relational Data

Non- Relational Text Data

SYBASE IQ

Combined Analytics with

In-database Text Indexing

Optional 3rd party pre-filter/ Text Segmentation or Entity Extractors

Text Search: Email-Archiving, E-discovery, E-library

Text Analytics: Fraud detection, Risk analytics, News feed analysis

Text Mining: Clustering, categorization, sentiment analysis

• Text Index – SQL based on terms/phrases, prefix, proximity, scoring

• Interface to plug in 3rd party Document converters or Term Breakers

• 3rd party text mining libraries (not available in GA)


The Sybase IQ Advantage

Speed from a vertical, column-based architecture

Up to 1000-times faster than traditional transactional database technology

High-speed analytics performance handles volumes of ad-hoc queries in

―real-time‖

Scalability and flexibility from multiplexing

Supports thousands of users and years of historical and real-time data

Can support both simple and complex analytics for structured and

unstructured data

Lowest TCO from data compression

Compression algorithms reduce volume of stored data by up to 70%

Low startup and long-term TCO — less storage and maintenance resources

Easy to learn and use — minimal training and staff requirements


Data Warehousing Solutions from SAP Summary

Solving complex and diverse challenges

Real-time analytics

Big data

Efficiency

Powering sophisticated information landscapes

High-performance operational analytics

Enterprise data warehousing

Providing customer choice through

complementary and inter-operable solutions

SAP HANA Appliance

Sybase IQ


SAP BusinessObjects Rapid Marts


Data Warehousing Solutions from SAP Summary

Instant access to massive

volumes of data

Flexible data foundation to enable

analysis of any business question

Optimize time-to-value by lowering

costs and implementation times

Questions?

Yuvaraj Athur Raghuvir

Data Warehouse Solution Management

[email protected]

Bruce Taylor

Global CoE Data Warehouse Solutions

[email protected]

Contact information:

mailto:[email protected]

mailto:[email protected]


THANK YOU

THANK YOU

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