1
SAP in-memory computing with SAP HANA™
Summary of offerings
1. Motivation
2. Technology & Benefits
3. Portfolio and Solutions Technology Platform Content Accelerators Products on In-Memory Database Next Generation Applications
4. Customer Example
Reminder: some of the
features and functions
shown here are
currentely in ramp up
or still under
development.
SAP in-memory computing with SAP HANA™
Summary of offerings
1. Motivation
2. Technology & Benefits
3. Portfolio and Solutions Technology Platform Content Accelerators Products on In-Memory Database Next Generation Applications
4. Customer Example
SAP in-memory computing mit SAP HANA™
Summary of offerings
Why In-Memory Computing?Pe
rform
ance
Time
Performance of CPU and memory increases roughly exponential over time
But: disk performance (IO’s per second = IOPS) increases only gradualy
Approach: avoid disk IO and move database entirely into memory!
SAP HANA™
High Performance ANalytical Appliance
Why In-Memory Computing?
In the past
Now, with SAP HANA™
Why In-Memory Computing?
Days/Weeks Hours/Minutes
Historically
BATCH Seconds Minutes Hours Days
Weeks
Recently/nowDIALOG/BATCH
Milliseconds
Seconds
Using SAP HANA™ REAL TIME
Reasons for In-Memory Computing?
With SAP HANA™
Aggregates and LSA Layers are no longer necessary
Latency in the reporting process is reduced
Remodelling becomes much easier
Reporting scenarios required data models with redundant data
This included the implementation of views and aggregates
As a result a Layered Scalable Architecture had to be implemented
There‘s a strict separation between OLTP and OLAP
Resulting in a substantial latency during Process – Analysis – Action
In the past
1. Motivation
2. Technology & Benefits
3. Portfolio and Solutions Technology Platform Content Accelerators Products on In-Memory Database Next Generation Applications
4. Customer Example
SAP in-memory computing mit SAP HANA™
Summary of offerings
Standard Hard Disk Technology
The Turning Point: In-Memory Computing
Segmented
Memory
Cache
Traditionally Hardware
Multicore-ArchitectureMassive parallel Scalability
64-Bit-Name SpaceUp to 2 TB Main MemoryData Througput of 100 GB/s
Row and Column Store
Compression
Partitioning
(nearly unlimited size)Fast PrefetchTransient and/or persistant
No aggregation tables
Delta insert only
Software With SAP HANA™
Compression Factor 10Massive Parallel Processing
++
++
&
Integrated
In-Memory
Flash
Certified Hardware
The Turning Point: In-Memory Computing
PartitioningIn-Database Computing
Analyzing Big DataComplex Operations take place in the Database
No Aggregation Tables Flexible Data Models without Redundancies
Real-Time ReplicationDelta insert only
Fast Data Loads
++
++
Compression Reduction of up to 80%
& In-MemoryRow and Column Store
Fast Reponses
Database Layer
Application Layer
Query
&
Resu
lt
All
Data
Logic & Processing
The Turning Point: In-Memory ComputingTraditionally
Database
Layer
Application
Layer
Call
Pro
cedure
Get
Resu
ltLogic
Now, withSAP HANA™
1x'0'
1x'1'
1x'2'
3x'0'
1x'1'
4x'0'
1x'1'
1x'0'
2x'1'
2x'2'
1x'3'
0
1
2
0
0
0
1
0
0
0
0
1
0
1
1
2
2
3
The Turning Point – In-Memory Computing: The Column Store
Company Region Group
INTEL USA A
Siemens Europe B
Siemens Europe C
SAP Europe A
SAP Europe A
IBM USA A
0 INTEL1 Siemens2 SAP3 IBM
0 Europe1 USA
0 A1 B2 C
HDB Column Store"Dictionary compressed"
Traditionally
0 INTEL1 Siemens2 SAP3 IBM
0 A1 B2 C
HDB Column Store +"Run length compressed"
&
0 Europe1 USA
With SAP HANA™
The Turning Point – In-Memory Computing: The Column Store Delta Management and Consistent View in Column Store
Components and Functions of SAP HANATM
SAP HANA™ In-Memory-Solution consisting of Software and
Hardware(HP, IBM, Fujitsu, Cisco, Dell,…)
Data modelling and Data management
Real Time data replication
SAP BusinessObjects Data Services is used for ETL-Functions from SAP Business Suite, SAP NetWeaver Business Warehouse (SAP NetWeaver BW) as well as third party systems
Supported Functionalities High speed analysis of information based on high
volume, non-aggregated real time data
Creation of flexible Analysis models based upon real time and historical data
Basis for a new category of applications (e.g. planning and simulation), which exceed the performance and capabilities of current solutions
Elimination / minimizing redundant data
SAP HANA™
SQL MDXBICSSQL
SAP BusinessObjects-Tools
Other Reporting Tools
SAP BusinessSuite
Other Datasources
SAP NW Business
Warehouse
SAP In-Memory Computing Studio
SAP In-Memory-Database
Calculation and Planning Engine
Row and Column Store
Real TimeData
Replication
SAP Business Objects Data
Services
We are familiar with your requirements
In order to control my processes even better, I
need information which are hard to access.
Enable strategies based on granular and current
data to maximize market opportunities and
minimize potential risks (e.g. drive greater
personalization of service, identify and predict
changes in customer behavior) – Early Warning
System
HANA offers in-memory applications that will help
users become real-time businesses, transforming
the way they think, plan and operate.
Improve your IT efficiency. Manage growing data
volume and complexity efficiently and lower your
landscape costs
I need a simple and fast solution – simply a
groundbreaking technology.
SAP in-memory computing
SAP HANATM
fast, easy, ground-breaking
Quelle: DLR (CC-BY 3.0)
17
BusinessObjects
BI
SAPHANA
PlatformDatabase Applications
Content/RDS Accelerator
WB
Analysis
SME
SAP in-memory computing for more transparency
Everything is optimized Hardware, Operating System, Database
and Applications form a unit.
Everything is in the Main Memory TB of Data with a Multicore-Architecture
Everything is discarded column-wise Instead of storing the data row-wise,
every column is apart and so to speak has their own index and can be packed in the best possible way.
fast
because…
18
BusinessObjects
BI
SAPHANA
PlatformDatabase Applications
Content/RDS Accelerator
WB
Analysis
SME
SAP in-memory computing for more transparency
The System Landscape is going to be uniformed. Vision: One HDB as a basis for all
Business Applications (BW, CRM, ECC, …)
The implementation can be done step-by-step side-by-sideBW powered by SAP HANA…
The variety of solutions will grow steadily Content/RDS, Accelerator plus further
products and solutions from SAP and itelligence make it simply easier.
Simple
because..
19
BusinessObjects
BI
SAPHANA
PlatformDatabase Applications
Content/RDS Accelerator
WB
Analysis
SME
SAP in-memory computing for more transparency
It will usher a paradigm shift in the IT
It will be an integral part of future SAP developments
It will help you to act faster and more flexible
Groundbreaking
because…
1. Motivation
2. Technology & Benefits
3. Portfolio and Solutions Technology Platform Content Accelerators Products on In-Memory Database Next Generation Applications
4. Customer Example
SAP in-memory computing mit SAP HANA™
Summary of offerings
Techno-logy
Platform
ContentAccelerator
s
How can I leverage SAP HANA™ for my business?
Products on In-Memory database
Next generation application
s
Custom Solutions
Flexible Reporting Improved Products
New Products
Accelerated, flexible and agile Processes
Green
A
Which scenario(s) can I use?
Grey
T
Blue
COrange
P
Purple
NTechno-logy
Platform
ContentAccelerator
s
Products on In-Memory database
Next generation application
s
Green
AGrey
TBlue
COrange
PPurple
N
How can I leverage SAP HANA™ for my business?
RDS ERP operational reporting
RDS CRM Pipeline Analytics (planned)
RDS ERP advanced op. reporting, incl. Financial Spend Analysis (planned)
RDS Banking Analysis incl. transaction history and financial reporting (planned)
Content
Reports that are re-built on SAP HANA using a BI frontend.
RDS CO-PA Accelerator with SAP HANA
RDS CRM Segmentation with SAP HANA (planned)
General Ledger Accelerator with SAP HANA (planned)
Controlling Accelerator with SAP HANA (planned)
Material Ledger Accelerator with SAP HANA (planned)
GRC Access Controll Accelerator with SAP HANA (planned)
Accelerated Apps
Speed up existing business suite functionality/applications through a side-by-side scenario with SAP HANA.
BW 7.30 Orange on SAP HANA database (planned for Nov. 2011)
Customer Analysis:Account Intelligence, Predictive Customer segmentation, Customer Revenue Performance Mgmt (planned)
Trade Promotion Management (planned)
Demand Signal Repository (planned)
Products on In-Memory
Existing applications and strategic investment areas that may be disruptive.
E.g. Nomura Research Institute was able to use SAP HANA to analyze traffic information in Tokyo, and gained the ability to search through 360 million data records approximately 1 second
Technology Platform
Customer specific development.
Strategic Workforce Planning (available), Smart meter analytics, Medtronic integrated text, personal apps such as home electricity usage (planned)
Next generation Suite FI, SCM, CRM, HCM… (vision)
Next Generation Applications
New applications that we have not
delivered before.Native in-memory
applications.
SAP HANA TEST DRIVE
Grey
TBlue
CGreen
AOrange
P
25 SAP HANA Testdrive - CONFIDENTIAL
Testdrive „Grey“
SAP HANA SAP BI / BOBJ realization of
customer-specific use cases
Testdrive „Blue“
SAP ERP rapid-deployment solution for operational
reporting with SAP HANA
Testdrive „Green“
SAP ERP rapid-deployment solution for accelerating
your business with SAP HANA, eg CO-PA
Testdrive „Orange“
SAP NW BW powered by SAP HANA
Try it yourself: SAP HANA Testdrive
fast, easy,
groundbreaking!
March 30, 2012
Grey
T
Blue
C
Green
A
Orange
P
26 SAP HANA Testdrive - CONFIDENTIAL
Grey
TTestdrive “Grey”: SAP BI on SAP HANA
March 30, 2012
In-memory technology to realize their own use cases
Data and presentation of results with BI / BOBJ or 3rd partyServices:
SAP Hosting for SAP BI BO
SAP Hosting for SAP HANA
Data Transfer / Import with HANA tools
Technical implementation of SAP BI, SAP HANA
Optional: application support for Testdrive
SAP HANA
BI-Clients3rd Party
BIC
S
MD
X
SQ
L
Data Modeling
Computing Engine
HANA Size XS S M
HANA RAM 128 GB 256 GB 512 GB
Price pM 13.200 € 14.400 € 16.900 €
Blue
CTestdrive “Blue”: SAP ERP Operational Reporting
In-Memory Appliance in conjunction with the SAP Business
Suite is used to support Operational Reporting
BOBJ front end for data and presentation of results
Services:
SAP Hosting for SAP BI BO
SAP Hosting for SAP ERP
SAP Hosting for SAP HANA
Migration / Import with R3load
Technical implementation of SAP BI, SAP ERP, SAP HANA
Optional: application support for Testdrive
SAP ERP
Traditionaldatabase SAP HANA
BI-Clients3rd Party
Replication
BIC
S
MD
X
SQ
L
Data Modeling
Computing Engine
HANA Size XS S M
HANA RAM 128 GB 256 GB 512 GB
DB-Size 1.000 GB 1.500 GB 3.000 GB
Price pM 22.400 € 24.400€ 28.300 €
28 SAP HANA Testdrive - CONFIDENTIAL
Testdrive “Green”: SAP HANA as Accelerator (e.g. CO-PA)
March 30, 2012
In-Memory Appliance is a next-standing system
(Accellerator) is used to speed up existing applications
SAP OS / SAP GUI for data and presentation of results
Services:
SAP Hosting for SAP ERP
SAP Hosting for SAP HANA
Migration / Import with R3load
Technical implementation of SAP ERP, SAP HANA
Optional: application support for TestdriveRead
SAP UI
HANA Size XS S M
HANA RAM 128 GB 256 GB 512 GB
DB-Size 1.000 GB 1.500 GB 3.000 GB
Price pM 20.000 € 22.000 € 25.900 €
Green
A
SAP ERP
Traditionaldatabase SAP HANAReplication
Data Modeling
Computing Engine
Orange
PTestdrive “Orange”: SAP BW on SAP HANA
In-memory database as the primary DB
for your SAP BW 7.3
Optimization of cycle times for all BW Reports
Services:
SAP Hosting for SAP BW on SAP HANA
Migration / Import with R3load
Technical implementation of SAP BW, SAP HANA
Optional: application support for Testdrive
SAP BW 7.3SP6
SAP HANA
Data Modeling
Computing Engine
HANA Size S M L
HANA RAM 256 GB 512 GB 1 TB
Price pM 17.000 € 20.000 € 23.000 €
BI-Clients 3rd Party
SAP HANA™ SOLUTIONS
Grey
TBlue
CGreen
AOrange
PPurple
N
Green
A
How to select the scenarios to be used?
Grey
T
Blue
COrange
P
Purple
NTechno-logy
Platform
ContentAccelerator
s
Products on In-Memory database
Next generation application
s
Grey
T
HANAEDGE
max(24/50)GB
user
Extraction
Compression
One Data Mart(generic and agile)
Mobile Reporting
Data Exploration
Å GEO Data Lookup: on ZIP Code Basis (AT, BE,CH, DE & LU)
Your Processes
Big Data(up To 60 GB Raw Data)
???
XL
itelligence BI.Speedster powered by SAP HANA
BusinessObjects BI EDGE
For example:
CO-PA
S-Structures
Conditions
Non-SAP Data Sources
BOOST
your Business!
BI.Speedster
powered by SAP HANA
Starting from
EUR 99.000
Green
A
How to select the right use case?
Grey
T
Blue
COrange
P
Purple
NTechno-logy
Platform
ContentAccelerator
s
Products on In-Memory database
Next generation application
s
SAP Use Case:Rapid DeploymentSolution
SAP in-memory computing for increased transparancy
Software
Predefined Content,
Best practices, templates and tools lead to fast and valid results
Learing by coaching
Alternatively services can be provided by us
Fixed project scope including fixed price components minimize risks
Rapid Deployment Solutions
ServiceSoftware
EnablementContent
Blue
CGreen
A
Solution (RDS rapid-deployment solution)Cate-gory
Availability
SAP ERP RDS for operational reporting with SAP HANAnow
SAP ERP RDS for profitability analysis (CO-PA) with SAP HANAnow
SAP CRM RDS for customer segmentation with SAP HANAnow
SAP CRM RDS for pipeline analysis with SAP HANAnow
SAP Bank Analyzer RDS for financial reporting with SAP HANAnow
SAP Deposits Management RDS for transaction history analysis with SAP HANA2012
SAP ERP RDS for accelerated finance and controlling with SAP HANA
2012
SAP BusinessObjectsSales Analysis for Retail, edition for SAP HANA2012
SAP in-memory computing for increased transparancy
Blue
C
Blue
C
Blue
C
Blue
C
Blue
C
Green
A
Green
A
Green
A
Solution (RDS rapid-deployment solution)Cate-gory
Availability
SAP ERP RDS for operational reporting with SAP HANAnow
SAP ERP RDS for profitability analysis (CO-PA) with SAP HANAnow
SAP CRM RDS for customer segmentation with SAP HANAnow
SAP CRM RDS for pipeline analysis with SAP HANAnow
SAP Bank Analyzer RDS for financial reporting with SAP HANAnow
SAP Deposits Management RDS for transaction history analysis with SAP HANA2012
SAP ERP RDS for accelerated finance and controlling with SAP HANA
2012
SAP BusinessObjectsSales Analysis for Retail, edition for SAP HANA2012
SAP in-memory computing für mehr Transparenz
Blue
C
Blue
C
Blue
C
Blue
C
Blue
C
Green
A
Green
A
Green
A
Predefined Reports Financial Reporting Sales Reporting Purchasing Reporting Shipping Reporting Master Data Reporting
Usergroup specific Reporting Objects Cockpits „Data Google“ (Explorer), even mobile Formatted Reporting Information Self Service (Ad-hoc Reporting) Precalculated Reports that can be distributed
automatically
Advanced Reporting Free choice of any user-friendly SAP-
BusinessObjects Reporting Tool Enrich the results with third party data
SAP ERP
Traditionaldatabase SAP HANAReplication
Data Modeling
Computing Engine
BusinessObjects BI
SAP ERP RDS for operational reporting with SAP HANA
SD FI
PUR MD …
Blue
C
SAP ERP RDS for operational reporting with SAP HANA
Blue
C
Accelerate Financial Performance and Efficiency■ Real time access to massive amounts of profitability
data
■ Accelerated run-times for cost allocations
■ Rapid, non-disruptive deployment of the solution
■ Enhanced CO-PA read module using SAP HANA as a secondary database for Acceleration of ERP Cost and Profitability Analysis (CO-PA) reporting
Unlock opportunities to maximize performance
■ Unlimited modelling and analysis of CO-PA data
■ Ad-hoc data queries and drill-downs
■ Options to easily integrate CO-PA data with SAP BusinessObjects Profitability and Cost Management in subsequent phases
Optimize decision making
■ Rapid access to CO-PA data via SAP Business Objects BI reporting tools (Separate service and License), resulting in:
■ Easy-to-use, graphical self service analytics
■ Flexible and unconstrained profitability reporting
SAP ERP
Traditionaldatabase SAP HANAReplication
Data Modeling
Computing Engine
BusinessObjects BI(optional)
CO-PA
Re-cherche
SAP ERP RDS for profitability analysis (CO-PA) with SAP HANA
Green
A
Accelerated Reporting and Analysis New GL, Profit Center Accounting, Asset
Accounting, and Special Purpose Ledger Overhead Management, and Investment
management Material Ledger including material price analysis
and Product Cost Controlling
Accelerated Period End Closing Processes Overhead calculation and Accrual calculation Material Ledger costing run (CKMLCP)
Data sources and Virtual info providers Direct (logical) access from BW to ERP Makes ETLin many cases obsolete Profit Center Accounting, New General Ledger,
Special Ledger and Material Ledger
BW Extraction (accelerated) Material Ledger existing extractor (accelerated)
SAP ERP
Traditionaldatabase SAP HANAReplication
Data Modeling
Computing Engine
BusinessObjects BI(optional)
FI
SAP ERP RDS for accelerated finance and controlling with SAP HANA
CO
Green
A
Green
ASAP ERP RDS for accelerated finance and controlling with SAP HANA
SAP finance and controlling Accelerator
Rapid deployment of accelerated finance and controlling with SAP
ERP and SAP HANA
Controlling Accelerator
Accelerated and enhanced CO line item reporting (CO-OM-CCA)
In Memory based CO Partner Object Reporting (CO-OM-OPA)
Accelerated overhead and accrual calculation
Active Availability Control Monitor for investment programs
Material Ledger Accelerator
Accelerated Material Ledger Reporting((Drill Down Reporting, Material Price Analysis))
Material Ledger Period End Closing
Direct BI access to SAP ERP / SAP HANA data via virtual Info Provider
Material Ledger Accelerated BW Extraction
Production Cost Analysis
Product Cost Controlling Reports (CO-PC-OBJ)
Financial Accounting Accelerator
Reporting in Profit-Center Accounting (EC-PCA)
Reporting in Asset Accounting (FI-AA)
Reporting in General Ledger Accounting (new)
Reporting in Special Purpose Ledger (FI-SL)
Direct BI access to SAP ERP / SAP HANA data via data sources
Orange
PSAP BW powered by SAP HANA™
SAP BW 7.3SP6
SAP HANA
Data Modeling
Computing Engine
Traditionaldatabase
SAP ERP
Traditionaldatabase
Other Sourcce
Extract
Extract
Benefits Acceleration Data Compression Improved, Lean Data Models Increased Flexibility
Optimized DSO-Object Faster Activation Very High Performance
Optimized Cube Lean Data Model Highly flexible Remodelling Options
Optimized LSA No more Aggregates required No more Cubes required (optional)
Improved Planning Functions Logic and Data Processing are pushed down to
the Database Layer
BusinessObjects BI(optional)
Orange
PInfoCubes in SAP HANA
Traditional InfoCube Based upon RDBMS-Technology Two Fact Tables ("F" and "E") Persistent Dimension Tables (up to 16)
SAP-HANA InfoCube Based upon in-memory-Technology One Fact Table No more physical Dimension Tables are required
Advantages Improved Data Load Processes (only Facts need to be
loaded) Lean Data Model Flexible Remodelling Options Faster Response Times
Migration „on Demand“: After the Migration to HDB (BW ≥ 7.3 SP5) the Cubes
stay as they are, until they are converted to In-Memory Cubes manually
FACTS
F
E DIM
DIM
DIM
… …
MD
MD
MD
MD
MD
MDMD
MD
FACTS
FMD
MD MD
MD
MDWith SAP HANA™
traditionally
MDMD
Orange
PDataStore-Objects in SAP HANA
With SAP HANA™
Traditionally
New Data Active Data Change-Log
Classic Table Temporary IndexCalculation
View
Logic & Processing Database Layer
Logic & Processing Application Layer
Row Store, persistant
Column Store, temporary
RD
BM
SA
BA
PH
DB
C
++
Advantages One Single Table for New
Data Faster Activation Enables Reporting
directly off the DSO InfoCubes might no
longer be required
ID | Value| Date5455 | 30 | Dat1
OldID | Value|Valid from-to5455| 30 |Dat1-Dat2
Historical Index
ID | Value|Valid from5455| 50 |Dat2
Main IndexID | Value| Date5455 | 50 | Dat2
New
Before Image: 5455 | -30After Image: 5455 |+50
Delta Index
1. Motivation
2. Technology & Benefits
3. Portfolio and Solutions Technology Platform Content Accelerators Products on In-Memory Database Next Generation Applications
4. Customer Example
SAP in-memory computing mit SAP HANA™
Summary of offerings
Orange
PCustomer Example Eldorado, Russia
To be done by LAW
We make the most of SAP® solutions!
www.itelligence.info