SAP HANA

Jean-Michel JURBERT, SAP

Pascal VU, FTS

2

Fujitsu : SAP Global PartnerTechnologies & Services

8,000+ clients communs worldwide

Catalyseur des innovations avec SAP 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

Copyright 2012 FUJITSU

40 ansde

partenariat

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

ERP@HANA - CRM@HANA : démarrage maquettage Objectif : utiliser HANA pour les systèmes OLTP de SAP

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

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 Copyright 2012 FUJITSU

4

Innovations technologiques

64bit address space – 2TB in current servers

Storage : SSD - Flash Memory

Network : 10 GbE

Mature & robust OS : SUSE Linux

Cost efficient industry standard

Multi-Core Architecture (10 core / CPU)

Massive parallel scaling with many nodes

Intel 10 core processor - E7

SAP In-Memory Computing : c’est Maintenant Toutes les données en mémoire

Stockage en ligne & colonne

Compression

Partitionnement

Pas d’agrégation

Insertion sur différence

SAP : Innovations logicielles

*Customer results may vary .

Copyright 2012 FUJITSU

5

SAP In-Memory computingChangement de paradigme

Presentation

Database

Unix, Windows, Linux

Calculation100 ns

SAP R/3 - 1992

< 1ms

5-20ms

Calculation

In-MemoryDatabase

100ns

SAP HANA

Presentation

SUSE Linux

Persistence

Copyright 2012 FUJITSU

6

Goulet d’étranglement & Révolution technologique

Copyright 2012 FUJITSU

GigaHertz

Nano Seconde

Milli Seconde

Bottleneck

7

Goulet d’étranglement & Révolution technologique

Copyright 2012 FUJITSU

Data persistency

8

Persistence layer of SAP HANA Database

Data storage in SAP HANAPrimary persistence of data:In-MemoryTable contents (data and undo log)

Transaction Log for any write processInformation on data changesSynchronous writing (at commit)

SavepointComplete file image of database contentCumulatively extendedAsynchronous, automatic Process

Copyright 2012 FUJITSU

9

Today’s World

Copyright 2012 FUJITSU

Data Warehouse /

Marts

OLAP

Real-time posting

into Transactional System

Aggregation

Batch transfer toData Warehouse

Limited flexibility due to pre-defined data structures

Long query run-times

Loss of detail

Long Wait times for reports

Reporting Challenges

Large Volumes

High Impact

'Real Life' Business

Transaction

Analysis and Insight

Action

Transactional System

OLTP

10

What if this would all happen real-time ?

Copyright 2012 FUJITSU

'Real Life' Business

Transaction

Transactional System

OLTP

Real-time posting

into Transactional System

Real-Time Synchronization,Single records

Fast, flexible and detail analytics

No Aggregation

In-Memory Appliance

(SAP HANA)

11 Copyright 2012 FUJITSU

Pain points with Classical Approach

Data Modeling

Extensive Indexes

Summary Tables

Cached Queries

Embedded OLAP

Data Duplication

12

Revolutionary In-Memory PlatformEliminate Redundant Layers; Combine Transactions & Analytics

Copyright 2012 FUJITSU

13

SAP HANAArchitecture components for SAP HANA Data Mart scenario

Copyright 2012 FUJITSU

14 Copyright 2012 FUJITSU

Global Fujitsu Demo CenterThe power of SAP HANA : a Retail example

2.500.000.000 of data 6 - 8 sec

15

SAP HANA RoadmapUne fondation future pour toutes (!) les applications SAP

Copyright 2012 FUJITSU

16

Usage Scenarios of HANA

Copyright 2012 FUJITSUSAP HANA Platform

Applications

Accelerators

DatawarehouseAnalytics

17

Improves SAP BW performance with SAP HANA

Copyright 2012 FUJITSU

BWASAP NetWeaver

BW

SGBDR

SAP ERP

SGBDR

ETL

SAP HANA

Non SAP

Data sources

SAP Applications

SAP BusinessObjects

BI

18 Copyright 2012 FUJITSU

Fujitsu SAP HANA @ MITSUI

19

Success with SAP HANAwww.experiencessaphana.com

Copyright 2012 FUJITSU

Manufacturing

Energy

Communications and Media

Services

Technology

Consumer and Health Products

NongFu Spring

20

SAP HANA & FujitsuApproche solution end-to-end

Optimized & SAP certified infrastructure( PRIMERGY server & Storage & Network)

128 GB RAM 8 TB RAMAllemagne

STAGINGpre-installed, pre-tested, customized, quality assured delivery

End-to-end servicesfor end-to-end data center implementation

Allemagne

Infrastructure Solution Support (Fujitsu Solution Contract)Server + SUSE Linux & Storage & Network equipment

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

HANABlock

128 –1024 GB RAM2 – 8 CPUs

Server

RAM

Log Data

LocalDrives

RAID

OS

PCIFlash

∆

LocalDrives

RAID

IMS-Server PRIMERGY RX100 S7

1 par data centerCopyright 2012 FUJITSU

22

SAP HANA : offre multi node

Fujitsu was the first partner to receive SAP validation for a SAP HANA infra-structure that can scale up to 8 TB main memory

HANABlock 1

PY RX600 S6512 GB RAM

HANABlock 2

PY RX600 S6512 GB RAM

NetApp_1 NetApp_2

HANABlock n

10 gbps Network (redundant Brocade VDX 10Gb Ethernet switches)

NetApp_n

HANAQA

PY RX600 S6512 GB RAM

HANADEV

PY RX600 S6128 GB RAM

IMS-Server PRIMERGY RX100 S7

Multi Node based on PRIMERGY RX600 & NetApp storage Smart Scale-Out (2-16 nodes) 8 TB main memory No scalability limitations based on building block concept Efficient high availability for mission critical environment Easy integration of backup/restore functionality Prepared for disaster resilience / site concept (in evaluation)

Copyright 2012 FUJITSU

23

SAP HANA : multi node in-site recovery

Copyright 2012 FUJITSU

HANABlock n

HANABlock 1

HANABlock 2

NetApp_1 NetApp_(m-1)

HANABlock n+1(Failover)

10 gbps Network

NetApp_m

24 Copyright 2012 FUJITSU

SAP HANA : 2 site disaster recovery architectureHANA : PRDHosts: P01, …, P07 Network: 10.1.1.0

HANA : QAS, DEVHosts: Q01, ..Q07Network: 10.1.2.0

PRD PRD QASDEV

QASDEV

MirrorPRD

MirrorPRD

PRDRéplication

25 Copyright 2012 FUJITSU

Fujitsu HANA Integration Service

6. Step

SolutionSupport

5. Step

OperationalService

M months 36-60 months

1-n weeks

Best practicesRéduction délai global

Qualité

CustomerBriefing

1. Step

1 dayDuration within one step

2. Step

1 - 2 days

n weeksDuration between two steps

SolutionConcept

3. Step

1 - 2 days

SolutionSpecifi-cation

1-2 weeks

4. Step

4-6 days

SolutionImplementation

Central staging

2-4 weeks

26

What Impact for the end-users ?

Copyright 2012 FUJITSU

Before SAP HANA

Their First Try !

Then just after …

ArrghIt never works !

Sure ?It ran so fast. ..

You are my Hero. THANKS

27 Copyright 2012 FUJITSU

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

28