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© 2013 SAP AG. All rights reserved. 1 © 2013 SAP AG & CISCO. All rights reserved.
Jean-Michel JURBERT
Directeur de Marché Solutions BI analytiques - SAP
Eric DEBRAY
Responsable des alliances technologiques DataCenter - CISCO
© 2013 SAP AG. All rights reserved. 2
Entreprise Latence ZERO
Réduction du temps de traitement
Stratégie DSI
Attente Métier
Typical Business SLAs 106 105 104 103 100 10 1 0
Seconds
mail express fax e-mail Document transfer
Algorithmic trading 100 ms 20 ms
Servi le
jour-même
1 day
Call center inquiries 8 hr 10 sec
Supply chain updates 1 day 15 min
Phone activation 3 days 1 min
1 week 0.5 hour Refresh data warehouse
Track financial position 1 day 5 min
Airline operations 20 min 30 sec
Trade settlement 5 days 2 hrs.
Build-to-order PC 4 weeks
TOUT S’ACCÉLÈRE Le temps réel : la norme de l’économie digitale
© 2013 SAP AG & CISCO. All rights reserved.
© 2012 Cisco and/or its affiliates. All rights reserved. 3
170 years ago: Invention of the Telegraph
100 years ago: Invention of the Radio
Connected History
70 years ago: First general purpose electronic computer
40 years ago: First Internet connection
30 years ago: World Wide Web
UN MONDE DE PLUS EN PLUS CONNECTÉ “data in motion”
Today
2003: 0.5B Connected Devices
2005: First Smartphone
2010: 7B Connected Devices
2017: 300M ConnectedCars 2010:
0.5B Smartphones 2015: 2B Smartphones
2013: 10B Connected Devices
2012: 50M Connected Cars
2011: 90M Smartmeters
2020: 1B Smartmeters
2020 : 50 Billion Connected Devices
© 2013 SAP AG & CISCO. All rights reserved.
ENJEUX CLASSIQUES
d’un point de vue décisionnel
Application
OLTP
DWH
OLAP
© 2013 SAP AG & CISCO. All rights reserved.
ENJEUX CLASSIQUES
d’un point de vue transactionnel et décisionnel
Application
Services
Database
Services
Synchronization
Services
© 2013 SAP AG & CISCO. All rights reserved.
Multi-channel Unified User Experience
SAP Business Suite
SAP NetWeaver
SAP
NetWeaver
BW
New
SAP
Apps
Partner
Apps
SAP HANA PLATFORM
Virtual Data Model
Replication Services I ETL I Hadoop, R
App Server I Planning & Calculation | Rules I Business Function Libraries | Streams Processing
Operational (OLTP) I Analytics (OLAP) I Predictive | Text Search
POUR QUELS BENEFICES?
Un moteur de recherche accessible à tous
© 2013 SAP AG & CISCO. All rights reserved.
POUR QUELS BENEFICES?
© 2013 SAP AG & CISCO. All rights reserved.
POUR QUELS BENEFICES? www.suiteonhana.com
© 2013 SAP AG & CISCO. All rights reserved.
Line of Business Solution Area / Business Scenario
Finance
Accounting and Financial Close
Fast Financial Close
Real-Time Financial Performance Management
Receivables and Payables Management
Efficient Receivables Management
Efficient Payables Management
Treasury and Financial Risk Management
Central Treasury Exposure Management
Enterprise Risk and Compliance
Access Control Role Analytics
Automated Cross-System Process Control
Marketing, Sales, Service
Sales: Order and Contract Management
Optimized Quote Management
Sales: Partner/Channel Sales; Sales Support
Insight-Driven Sales
Marketing Planning and Resource Management
Insight-Driven Marketing
Customer Service Management
Efficient Contact Center
Insight-Driven Service
Supply Chain Management/ Procurement
Warehouse Management and Operational
Procurement
Real-Time Inventory Management
Efficient Procurement
Strategic Purchase Optimization
Manufacturing and Supply Planning
Insight-Driven Supply Chain Planning
Enterprise Asset management
Maintenance Operations
Maximized Asset Utilization and Uptime
Human Resources
Core HR and Payroll
Accelerated Organizational Changes Publishing
Insight-Driven Workforce Cost Management
Manufacturing
Production Planning
Real-Time Material Planning
Instant Material Flow Control
Research and Development
Enterprise Portfolio and Project Management
End-to-End Engineer to Order Project Management
Maximized Productivity and Profitability For Complex Projects
LA REVOLUTION
avec le traitement In-Memory
© 2013 SAP AG & CISCO. All rights reserved.
DES APPLIANCES POUR LE IN-MEMORY
Concilier performances et capacité
Prendre en compte la disponibilité mémoire
Mettre en place des mécanismes de
sauvegarde
Tenir compte des ratios de compression
Appliances validées par SAP
CPU :
Intel Xeon X7560 ou E7-X870
Capacité mémoire
Max. 128 GB par CPU socket
Disques Physiques
pour Logs et savepoints
La différence entre la capacité RAM et la capacité supportée par SAP HANA
impose des architectures « scale out »
2 types d’appliances SAP HANA-Cisco avec serveurs UCS :
• « single node »
• « scale out » (avec stockage NetApp ou EMC)
© 2013 SAP AG & CISCO. All rights reserved.
IN MEMORY : VOLUMÉTRIE ET DISPONIBILITÉ
Appliances SAP HANA-Cisco
© 2013 SAP AG & CISCO. All rights reserved.
• Évolutivité: au-delà de 512GB par une architecture à plusieurs serveurs « Scale-
Out », jusqu’à 16 nœuds actifs (8 TB RAM)
• Haute-disponibilité locale par une redondance N+1, gérée par SAP
• Disaster Tolerance par redondance totale, selon une architecture définie
conjointement entre SAP et partenaires HW
ET HADOOP ?
© 2013 SAP AG & CISCO. All rights reserved.
2 approches complémentaires
Traitement parallèle sur du stockage
Traitement en mémoire orienté temps réel
Intégration de SAP HANA - HADOOP
Possibilité de lire des données HADOOP
et de les charger dans une base HANA
Plateformes Cisco avec serveurs
UCS
Appliances SAP HANA
PA (Common Platform Architecture)
Hadoop
© 2013 SAP AG. All rights reserved. 13 © 2013 SAP AG. All rights reserved. 13
ImagineZ
… Répondre en temps réel aux
changements de la demande du marché, de
vos clients et de vos employés
… Proposer aux employés des analyses et
scénarii d’actions en temps réel pour une
efficience élevée
… Relier les machines aux terminaux en
temps réel pour proposer de nouveaux
services innovants à vos clients
… Construire des offres personnalisées en
temps réel pour une expérience client
unique
Jean-Michel JURBERT
Directeur de Marché Solutions BI analytiques - SAP
Eric DEBRAY
Responsable des alliances technologiques DataCenter - CISCO
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 15
© 2013 SAP AG or an SAP affiliate company.
All rights reserved.
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP AG.
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