Solution SAP HANA par Jean-Michel JURBERT avec Fujitsu France IT Future 2012

1. SAP HANA
Jean-Michel JURBERT, SAP
Pascal VU, FTS

2. Fujitsu : SAP Global Partner
Technologies & Services
 8,000+ clients communs worldwide 40 ans
 Catalyseur des innovations avec SAP de
partenariat
 FlexFrame for SAP  1ère solution Cloud privé SAP
 In-Memory technology pour SAP BWA & SAP HANA : Fujitsu « tier one partner »
 “SAP runs Fujitsu”
 4.500+ serveurs (Windows, Linux, Solaris)
 +5 PB de stockage NetApp, fourni & installé par Fujitsu
 SAP Value Prototyping Center : opérations / services sur FlexFrame for SAP
 +100 appliances HANA @ SAP : développements, projets clients, etc.
 3,000+ SAP consultants expérimentés worldwide
1 Copyright 2012 FUJITSU

3. Fujitsu SAP HANA @ SAP
@ SAP Center of Excellence
 +30 RX600 / RX900 Single Node & Multi Node environments
  “value prototyping” & ramp up pour projets clients
SAP Development Departments
 Plusieurs Multi Node (jusqu’à 16 nodes)
 Utilisation pour développement de nouveaux scénarios OLTP + OLAP
SAP BW powered by HANA : live depuis 30 Avril 2012
 SAP utilise HANA pour son propre système d’information BI
 Paysages avec architecture Multi Node :  10TB pour HANA DB
ERP@HANA - CRM@HANA : démarrage maquettage
 Objectif : utiliser HANA pour les systèmes OLTP de SAP
Link: http://scn.sap.com/community/in-memory-business-data-management/blog/2012/05/04/get-high-availability-with-bw-on-hana-scale-out-
solution
2 Copyright 2012 FUJITSU

4. SAP In-Memory Computing : c’est Maintenant
Toutes les données en mémoire
Innovations technologiques SAP : Innovations logicielles
Multi-Core Architecture (10 core / Stockage en ligne & colonne
CPU)
Massive parallel scaling with
many nodes
Compression
Intel 10 core processor - E7 *Customer results
may vary .
64bit address space – 2TB in Partitionnement
current servers
Storage : SSD - Flash Memory
Pas d’agrégation
Network : 10 GbE
Mature & robust OS : SUSE Linux
Cost efficient industry standard
Insertion sur différence
3 Copyright 2012 FUJITSU

5. SAP In-Memory computing
Changement de paradigme
SAP R/3 - 1992 SAP HANA
Unix, Windows, Linux SUSE Linux
Presentation Presentation
Calculation
100 ns Calculation
100ns
< 1ms
In-Memory
Database Database
Persistence
5-20ms
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6. Goulet d’étranglement & Révolution technologique
GigaHertz
Nano Seconde
Bottleneck
Milli Seconde
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7. Goulet d’étranglement & Révolution technologique
Data
persistency
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8. Persistence layer of SAP HANA Database
Data storage in SAP HANA
Primary persistence of data:
In-Memory
Table contents (data and undo log)
Transaction Log for any write process
Information on data changes
Synchronous writing (at commit)
Savepoint
Complete file image of database content
Cumulatively extended
Asynchronous, automatic Process
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9. Today’s World
Transactional Data
System Warehouse /
Marts
OLTP OLAP
'Real Life'
Analysis and Insight
Business
Transaction Action
Real-time Aggregation Limited flexibility due to
posting pre-defined data structures
Batch transfer to
into Transactional Reporting
Challenges Data Warehouse Long query run-times
System
Large Volumes Loss of detail
High Impact Long Wait times for reports
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10. What if this would all happen real-time ?
Transactional In-Memory
System Appliance
(SAP HANA)
OLTP
No Aggregation
'Real Life' Real-time Real-Time Fast, flexible and detail
Business posting Synchronization, analytics
Transaction into Transactional Single records
System
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11. Pain points with Classical Approach
Data Modeling
Extensive Indexes
Summary Tables
Cached Queries
Embedded OLAP
Data Duplication
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12. Revolutionary In-Memory Platform
Eliminate Redundant Layers; Combine Transactions & Analytics
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13. SAP HANA
Architecture components for SAP HANA Data Mart scenario
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14. Global Fujitsu Demo Center
The power of SAP HANA : a Retail example
2.500.000.000
of data  6 - 8 sec
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15. SAP HANA Roadmap
Une fondation future pour toutes (!) les applications SAP
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16. Usage Scenarios of HANA
Accelerators
Datawarehouse Applications
Analytics
SAP HANA Platform
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17. Improves SAP BW performance with SAP HANA
ETL
SAP NetWeaver
SAP ERP BWA
BW
SAP
BusinessObjects
BI
SGBDR
SGBDR SAP
Applications
SAP HANA
Non SAP
Data sources
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18. Fujitsu SAP HANA @ MITSUI
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19. Success with SAP HANA
www.experiencessaphana.com
Consumer and
NongFu Spring
Health Products
Manufacturing
Energy
Communications
and Media
Services
Technology
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20. SAP HANA & Fujitsu
Approche solution end-to-end
Optimized & SAP certified infrastructure
( PRIMERGY server & Storage & Network) Allemagne
128 GB RAM  8 TB RAM
STAGING
Allemagne
pre-installed, pre-tested, customized, quality assured delivery
End-to-end services
for end-to-end data center implementation
Infrastructure Solution Support (Fujitsu Solution Contract)
Server + SUSE Linux & Storage & Network equipment
19 Copyright 2012 FUJITSU

21. SAP HANA : offre single node
 Based on PRIMERGY Servers RX600 and RX900
 128, 256, 512 or 1024 GB RAM
 2, 4 or 8 CPUs
 Internal Disks for persistence : 8 x SAS 600 GB
 PCI Flash (Fusion-IO) for Log writing : 2 x 320 GB
Server
PCI Local Local
Flash Drives Drives
HANA
RAID RAID Block
128 –1024 GB RAM
2 – 8 CPUs
∆ RAM IMS-Server
PRIMERGY RX100 S7
1 par data center
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22. SAP HANA : offre multi node
Multi Node based on PRIMERGY RX600 & NetApp storage Fujitsu was the first
 Smart Scale-Out (2-16 nodes)  8 TB main memory partner to receive
 No scalability limitations based on building block concept SAP validation for a
SAP HANA infra-
 Efficient high availability for mission critical environment
structure that can
 Easy integration of backup/restore functionality scale up to 8 TB
 Prepared for disaster resilience / site concept (in evaluation) main memory
NetApp_1 NetApp_2 NetApp_n
10 gbps Network (redundant Brocade VDX 10Gb Ethernet switches)
HANA HANA HANA HANA HANA
Block 1 Block 2 Block n QA DEV IMS-Server
PRIMERGY RX100 S7
PY RX600 S6 PY RX600 S6 PY RX600 S6 PY RX600 S6
512 GB RAM 512 GB RAM 512 GB RAM 128 GB RAM
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23. SAP HANA : multi node in-site recovery
NetApp_1 NetApp_(m-1) NetApp_m
10 gbps Network
HANA HANA HANA HANA
Block 1 Block 2 Block n Block n+1
(Failover)
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24. SAP HANA : 2 site disaster recovery architecture
HANA : PRD HANA : QAS, DEV
Hosts: P01, …, P07 Hosts: Q01, ..Q07
Network: 10.1.1.0 Network: 10.1.2.0
Mirror
PRD
Réplication
PRD PRD QAS QAS Mirror
DEV DEV PRD
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25. Fujitsu HANA Integration Service
Best practices
Réduction délai global
Central staging
Qualité
1. Step 2. Step 3. Step 4. Step 5. Step 6. Step
Solution Solution
Customer Solution Operational Solution
Specifi- Implementat
Briefing Concept Service Support
cation ion
Duration
1 day 1 - 2 days 1 - 2 days 4-6 days M months 36-60 months
within one
step
Duration between
two steps n weeks 1-2 weeks 2-4 weeks 1-n weeks
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26. What Impact for the end-users ?
Arrgh
It never
works !
Before SAP HANA
Sure ?
It ran so
fast. ..
Their First Try !
You are
my Hero.
THANKS Then just after …
25 Copyright 2012 FUJITSU

27. Où trouver les informations sur SAP HANA
 FUJITSU & SAP HANA : www.ts.fujitsu.com/hana
 FUJITSU & SAP : www.ts.fujitsu.com/sap
 Experience: https://www.experiencesaphana.com
 SAP HANA eBook: http://www.sap.com/community/ebook/2012_03_in_memory/en/index.html
 Use Cases: https://www.experiencesaphana.com/community/implement/use-cases
 Appliance: http://www.sap.com/solutions/technology/in-memory-computing-
platform/hana/overview/platform/partners.epx
https://websmp109.sap-
ag.de/~form/sapnet?_SHORTKEY=01100035870000739808&_SCENARIO=01100035870000000192&_
ADDINC=&
 SAP HANA RDS: www.sap.com/rds
 SAP HANA Applications roadmap : SAP Roadmap for HANA Apps (on Service Market place)
 Live Demo http://hanacba.testdrivesap.com/cba/#explorer
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