SAP HANA - Swisscom

Swisscom Enterprise Customers
Gute Aussichten
für Ihr Business
SAP HANA für Geschäftskunden
SAP Lösungen
Durchgängig. Effektiv. Businessnah.
2
Alles aus einer Hand: von der kompetenten Strategie- und TechnologieBeratung über eine professionelle, branchenspezifische Umsetzung bis
hin zum stabilen, in der Schweiz gehosteten SAP-Betrieb.
Qualität auf Anhieb, Exzellenz und Innovation sind unsere
Antriebsfedern. Wir bieten unseren Kunden alle Dienstleistungen und
Services über den ganzen IT-Lebenszyklus hinweg an: plan – build – run.
500
>28’000
170
Kunden
SAP-Anwender
Qualifizierte
Mitarbeitende
6
SAP Quality Awards
Mehr als
15
Jahre
Erfahrung
Die Hauptstossrichtungen von SAP Services
Zukunft zuschalten
mit SAP HANA
Ein Upgrade, das nicht nur
Ihrer IT neue Perspektiven
verschafft.
Agenda
> 09:00
Begrüssung
Sergio Chiandetti, Swisscom
> 09:10
SAP HANA Real Time Platform
Stephan Elster, SAP Walldorf
> 09:40
SAP HANA - Run the company
Markus Andres, SAP Dach
> 10:10
SAP HANA - Next Generation Development
Jörg Knaus, Swisscom
> 10:30
HANA Migration in die Swisscom Cloud
Marcel Richard, Swisscom
> 10:50
SAP HANA-Angebot
Bruno Flückiger, Swisscom
> 11:00
Ende der Veranstaltung
SAP HANA Realtime Platform
Transformation der Geschäftsprozesse durch Innovation, Mehrwert & Einfachheit
Stephan Elster
Agenda
Das Daten
Management
Rätsel
© 2013 SAP AG. All rights reserved.
SAP HANA
Innovationen
bei Echtzeit
Analytics &
Applikationen
Auswirkungen/
Transformation der
Geschäftsmodelle
der Kunden
Zusammenfassung
7
Information Bereitstellung ist an einem kritischen Wendepunkt
Point optimization is not enough to meet the new frontiers of real-time business
IMPACT ON BUSINESS
Real-time
Business
Scenario
Planning
Predict
Slow Response Times
|
Usability Challenges
|
Lack Of Adaptability
Sales
Customer
Service
Finance and
Operations
Manufacturing
Real-time bonus
calculations for
consumers
Customer overdue credit
calculation by product
areas
Iterative period end closing
with new posting into
accounts constantly
New ATP strategies; MRP
run for individual ATP
check/instant re-planning
Order
Processing
Operational
Reporting
Real-time Risk
& Fraud
Trend
Analysis
Predictive
Analytics
Sentiment
Analytics
Pattern
Recognition
Location
Intelligence
Monitor
Communicate
Analyze
Summarize
Aggregate
ETL
Staging
Clean-Data
Quality
Collect
Transact
1
0
Transactional
Datastore
IMPACT ON IT
© 2013 SAP AG. All rights reserved.
Data
Warehouse
Sensors
Data
High Latency
Mobile
Data
|
Complexity
Archives
|
Social & Text
Geo-Spatial
High Cost of Solutions
8
Data Management überdenken mit In-Memory Computing
Need to eliminate redundant data copies, materialization and models
A Common Database Approach for OLTP and
OLAP Using an In-Memory Columnar
Database
Hasso Plattner
Separated Transactions + Analysis +
Acceleration processes
One in-memory atomic copy of data for
Transactions + Analysis
SAP HANA
ETL
Transact
ETL
Analyze
Cache
VS
(DRAM)
Accelerate
 3 copies of data in different data models
 Eliminate unnecessary complexity and latency
 Inherent data latency
 Less hardware to manage
 Poor innovation leading to wastage
 Accelerate through innovation and simplification
© 2013 SAP AG. All rights reserved.
9
Software & Hardware Architektur der nächsten Generation
Removing data processing bottlenecks using latest innovations in computing
Multi-Core Architecture
64bit address space
8 CPU x 10 Cores per blade
1 TB in current servers
Massive parallel scaling with many blades
Dramatic decline in price/performance
CPU
L3
Cache
L3
Cache
L3
Cache
L3
Cache
L3
Cache
L3
Cache
L3
Cache
L3
Cache
MEMORY
OLTP+OLAP
in column Store
Partitioning
No Aggregate tables
(Dynamic Aggregation)
Insert Only on Delta
Compression
Calculation push down
Logging and Backup
STORAGE
Solid State
© 2013 SAP AG. All rights reserved.
Flash
HDD
10
SAP HANA Plattform – Mehr als eine Datenbank
Any Apps
SAP Business Suite
Any App Server
and BW ABAP App Server
SQL
MDX
R
JSON
Open Connectivity
SAP HANA Platform
Extended Application Services
Processing Engine
Unified Administration
Life-cycle Management
Security
Application Development
Process Orchestration
App Server| UI Integration Services | Web Server
Supports any Device
OLTP | OLAP | Search | Text Analysis |Predictive | Events | Spatial | Rules | Planning | Calculators
Database Services
Application Function Libraries & Data Models
Predictive Analysis Libraries | Business Function Libraries | Data Models & Stored Procedures
Integration Services
Data Virtualization | Replication | ETL/ELT | Mobile Synch | Streaming
Deployment:
© 2011 SAP AG. All rights reserved.
On-Premise | Hybrid | On-Demand
Public
11
Agenda
Das Daten
Management
Rätsel
© 2013 SAP AG. All rights reserved.
SAP HANA
Innovationen bei
Echtzeit Analytics
& Applikationen
Auswirkungen/
Transformation der
Geschäftsmodelle
der Kunden
Zusammenfassung
12
Erneuern existierender Systeme durch Anwendung
innovativer Technologien
SAP
BusinessSuite
SAP
BusinessOne
StartUps
&
ISV Apps
40+ HANA Apps,
Accelerators
& RDS
REAL-TIME APPLICATIONS
Consumer
Engagement
Sense &
Respond
Planning &
Optimization
Operational
Datamarts
Enterprise Data
Warehouse &
BW on HANA
REAL-TIME ANALYTICS
Operational
Analytics
Big Data
Warehousing
Predictive, Spatial &
Text Analytics
HANAPLATFORM
Platform
SAPSAP
HANA
Processing Engine
Database Services
Application Function Libraries & Data Models
Administration
Development
Extended Application Services
Integration Services
Deployment:
© 2013 SAP AG. All rights reserved.
On-Premise | Hybrid | On-Demand
13
Consumer Engagement Applikationen
Game-changing innovation with new applications and business models

Generate real-time consumer
insights

Deliver personalized, engaging
experiences

Create more responsive business
with precision targeting
SAP HANA
PLATFORM
Real-time
Engagement for
consumers
HTML-5 support
•
Mobile integration
Consumer-grade usability
•
•
© 2013 SAP AG. All rights reserved.
Real-time
insights for
enterprise
•
OLTP + OLAP real-time Processing
•
Sentiment Intelligence
•
Predictive analytics
14
Sense & Respond Applikationen für das Internet of Things
Faster execution by adjusting to signals in the business environment

Detect and analyze data trends by
aggregating sensor data

Benefit from more energy efficient
logistics, transforming retail
distribution

Increase quality of life through
intelligent buildings, robots, cars
and cities
Smart Equipment
Connected Cars
Smart Logistics
Smart Automobile
Smart House
Smart Vending
•
Event stream processing (ESP)
•
No data preparation
•
RFID Integration
© 2013 SAP AG. All rights reserved.
Smart Cities
•
Embedded data processing
•
Machine Learning
•
Spatial Processing
15
Applikationen für Planung und Optimierung
Faster execution to adjust to changes in the business

Enable iterative period end closing
with continuous posting into
accounts

Cash forecasting management

Optimize procurement,
manufacturing, transportation
without limits
Sales and Operations Planning
Business Planning
and Consolidation
In-memory stored procedures
Integrated Planning and Calculation engines
Predictive Analytics and Business Functions
•
•
•
© 2013 SAP AG. All rights reserved.
Recent data, preferably real-time
Supporting complex questions on interactive data
•
Built-in Spatial Processing
•
•
16
SAP Business Suite
powered by SAP HANA
SAP ERP
SAP CRM
SAP SCM
SAP SRM
SAP HANA PLATFORM
Smarter business
innovations
Faster Business
Processes
Simpler Business
Interactions
Unlock new growth opportunities
before your competitors do
Drive your business at the speed of
the market
Empower people to decide and
act in the business moment
© 2013 SAP AG. All rights reserved.
17
Operative ad-hoc Analyse und Monitoring
Real-time insight into the in-the-moment business situations
Finance and
Operations
Customer
Service
Account
Administration
SAP HANA
(DRAM)
Pricing
Customers
Accounting
Forecasting
Planning
Inventory
Products
Suppliers
OLTP + OLAP Processing
•
SAP HANA Live
SAP smart data access – data virtualization
•
•
Channel
© 2013 SAP AG. All rights reserved.
•

Accelerate business decisions
Provides vision across entire business
process

Empower front-line employees
Provide POS data analysis as interactive
session with drill-down information

Implement real-time
fraud detection, risk management and
monitoring
Real-time data integration (Replication, Streaming)
•
Unified data modeling
•
Single-query access to data
18
“Big Data Warehousing drives big business”
Deeper insights into customer needs and wants
Brand Sentiment
Fraud Detection
:-)
360O Customer
View

Extract value from big data
Bring together the power of inmemory, Hadoop, predictive, text
mining and spatial analytics

Dramatically improved performance
for decision making from variety
and volumes of structured and
unstructured data

Create a logical data warehouse
to respond to changing business
environment
Predictive
Maintenance
Network
Optimization
SAP
HANA
Real-time Demand/
Supply Forecast
Insider
Threats
Asset
Tracking
Propensity to
Churn
Personalized
Care
Risk Mitigation,
Real-time
Product
Recommendation
•
Hadoop/R Integration
•
Text Serach
•
Text Analytics
© 2013 SAP AG. All rights reserved.
•
•
SAP smart data access
Real-time data integration
•
Predictive Analytics
19
SAP BusinessWarehouse
Powered by SAP HANA
QUERY REPORTING ANALYTICS
SAP BOBJ Busines Intelligence
DATA MODELING
SAP NetWeaver BW
SAP HANA PLATFORM
Analytical /
Planning
Engine
Data
Management
Data
Storage
Dramatically Improved
Performance
Simplified Administration and
Streamlined Landscape
Improved decision making,
faster reporting, and the most
up-to-date information
Reduced administration
and lower TCO
© 2013 SAP AG. All rights reserved.
Unlock The Power of Your
Data Across The
Enterprise
Self-service access
to all information at the most
granular level
20
Predictive Analytics & Machine Learning
Transforming the Future with Insight Today
 Provide Business Analysts with sophisticated algorithms to take the
next step in understanding their business and modeling outcomes.
 Perform statistical analysis on your data to understand trends and
detect outliers in your business.
 Build models and apply to scenarios to forecast potential future
outcomes
 Combine, manipulate and enrich data to apply it to your business
scenarios. Self-service visualizations and analytics to tell your story
OLTP + OLAP Processing
•
SAP HANA Live
SAP smart data access – data virtualization
•
•
© 2013 SAP AG. All rights reserved.
•
Real-time data integration (Replication, Streaming)
•
Unified data modeling
•
Single-query access to data
21
1
2
3
4
5
Top
10
Umfassende Daten Bereitstellung
6
7
8
9
10
Real-time high volume data integration from any source
Data Movement
Over Networks
Any Source
Trigger-Based
SAP Business Suite
Log-Based
Non-SAP Data Sources
ODBC
SAP LT Replication
Server
SAP Sybase
Replication Server
ETL, Batch
SAP Data Services
Cloud Deployments
Complex Event
Data Source
Event Streams
Network Devices
– Wired / Wireless
Data Synchronization
SAP Sybase
SQL Anywhere
Data Sources
(SP6: HANA, IQ, ASE, Hadoop,
Data Virtualization
SAP HANA Smart
Data Access
Teradata)
© 2013 SAP AG. All rights reserved.
Transform and Persist
Data
SAP HANA
Virtual Tables
SAP Sybase Event
Stream Processor
22
Auswahl - On-Premise, Hybrid and Cloud
Provides security, privacy, and availability
Choose and change your deployment options anytime
BA
3rd
Party
Bus. Apps
Suite
BW
Ariba
On Premise
SuccessFactors
Hybrid
Cloud
Run All SAP Solutions
on SAP HANA
Leverage SAP Cloud
 Migrate some solutions to the cloud
Build, Run, Deploy all
Applications in the Cloud
 Build or deploy your own
solutions on SAP HANA
 Create or deploy new SaaS apps in
the cloud
 Consider Virtual Private Cloud
option
 Maintain all within your
firewall
 Use cloud hosting and managed
services
 Enable faster innovations
 Upgrade or leverage
existing infrastructure
 Deploy via SAP HANA Enterprise
Cloud or public cloud
 Migrate or build new
applications in SAP HANA
Enterprise Cloud
© 2013 SAP AG. All rights reserved.
 Simplify landscape
23
Agenda
Das Daten
Management
Rätsel
© 2013 SAP AG. All rights reserved.
SAP HANA
Innovationen bei
Echtzeit Analytics &
Applikationen
Aus
wirkungen/
Transfor
mation der
Geschäfts-modelle
der Kunden
Zusammenfassung
24
Simplicity previously unachievable
eBay Early Signal Detection System powered by Predictive Analytics
Automated signal detection system
increasing accuracy of forecasts
Simplicity previously unachievable
Charité Berlin – Analyze terabytes of data in seconds
 Improve cancer treatment with new patient therapies
 1,000x faster tumor data analysis (in seconds)
 Real-time analysis of 300M patient entries across
departments and geographies
 Reduced time in staff shift changes
Personalized healthcare for cancer patients
© 2013 SAP AG. All rights reserved.
26
Innovation Previously Infeasible
Predicts and analyzes game player behavior in real-time
Real-time insights, analysis,
and consumer engagement
for increased revenue and
decreased churn
© 2013 SAP AG. All rights reserved.
27
Value previously unavailable
Lockheed Martin Enterprise Services –
Actual cost and labor data reporting
 20,000x more data available for analysis with
1,131x faster reporting time
 Real-time visibility into actual labor costs
 Better resource utilization decision
Calculate granular program costs on all relevant data
© 2013 SAP AG. All rights reserved.
28
Agenda
Das Daten
Management Rätsel
© 2013 SAP AG. All rights reserved.
SAP HANA
Innovationen bei
Echtzeit Analytics &
Applikationen
Aus
wirkungen/
Transfor
mation der
Geschäfts-modelle
der Kunden
Zusammenfassung
29
SAP HANA Platform: Rethink the possible
Uncover more business value while enabling breakthrough transformation
SAP HANA platform converges database and
application platform capabilities in-memory to
transform transactions, analytics, text analysis,
predictive, and spatial processing so businesses
can operate in real-time.
© 2013 SAP AG. All rights reserved.
30
Vielen Dank
Kontakt:
Stephan Wronkowski-Elster, MBA
CoE HANA/ RTBP
SAP (Schweiz) AG
M +41 79 936- 0135
* [email protected]
SAP HANA – run the company
ECOSYSTEM & CHANNELS
© 2014 SAP AG or an SAP affiliate company. All rights reserved.
Markus Andres | März 2014
32
HANA Consumption Scenario Overview
Non-disruptive consumption of innovation
…Accelerated by
HANA
HANA Live
(Datamart)
SAP BI,
Any BI
HANA
accelerators
HANA Apps
…Powered by
HANA
BW on HANA
(incl. Reporting &
Analytics)
Client
Unified UI
SAP
Business Suite
SAP
Business
Suite
SAP
Business
Suite
Apps
SAP
Business
Suite
HANA DB
HANA DB
Any DB
Side-by-side scenarios
© 2014 SAP AG or an SAP affiliate company. All rights reserved.
HANA DB
Any DB
BW
HANA DB
Any DB
Apps
BW
VDL
& any
app
Any DB
Business Suite
on HANA
VDL
PLM
SRM
SCM
CRM
ERP
SAP
Busines
s
Suite
…Inspired by
HANA
HANA DB
Integrated scenario
33
BW on HANA magnifies the Value of BW …
Without Disruption and at the same time simplifying administration
1
Platform for Optimized Applications
2
Increased Data Load & Reporting Speed
3
Superior Planning Capabilities
4
Simplification & Reduced Development Time
5
Multiple Migration Options
6
Adopt the real time platform of the future
e.g. BPC, SPM, TPM etc.
Aggregates eliminated, Activation steps reduced.
Planning Application Kit, In-Memory Calculations
LSA++, easily include external data
Full, Phased, Mixed
Suite acceleration, operational reporting, BI Self-Service, Next Generation Apps
© 2014 SAP AG or an SAP affiliate company. All rights reserved.
34
2
Increased Data Load & Reporting Speed
SAP HANA-optimized DSOs
SAP HANA-optimized InfoCubes
Query acceleration on BW InfoCubes
 Delta calculation completely
integrated in HANA
 “Flat” structures without Dimension
tables and E tables*:
 Leverage column store and In-Memory
Calculation Engine for query acceleration
 Using in-memory optimized data
structures for faster access
 Up to 5 times faster data loads
 No replication – fast query access directly on
primary data persistence
 No roundtrips to application server
needed
 Simplified Data modeling
 Process of SID generation highly
optimized for HANA Optimized
DSOs  low impact on staging
performance
 Speeding up data staging to DSOs
by factor 5-10
 Creation of DIM Ids no longer required
 Faster remodeling of structural
changes
 Preliminary lab result: 250 Million
records in 4 minutes
 No changes of processes,
MultiProvider, Queries required
 Avoids storage of redundant data
 Indexes on InfoCubes and InfoObjects no
longer required  No Rollups
Query acceleration on BW DSO
 Leverage column store and In-Memory
Calculation Engine for query acceleration
 SID generation during DSO activation to be
enabled
 Result: Same kind of excellent query
performance on DSOs
 Process of SID generation highly optimized
for HANA Optimized DSOs  low impact on
staging performance
© 2014 SAP AG or an SAP affiliate company. All rights reserved.
35
4
LSA++ Principal Layer
Framework for SAP NetWeaver BW on HANA
BI on Streamlined EDW - Operational BI – Agile BI – Virtualization - Open BW Services
EDW Propagation
Layer
EDW Transformations
Open Operational Data Store
Externally
managed
© 2014 SAP AG or an SAP affiliate company. All rights reserved.
Corporate
Memory
Business Transformations
reference
Architected Data Marts
Agile
DMs/
BW
Work
space
Agile BI - central/ departmental
BW Virtual Data Mart Layer
LSA++ for BW on HANA
BW Queries
BI on Streamlined EDW ,
Operational BI, Agile BI
Central BI- Promote To Production
BW Open Services: Data Model,
OLAP, Authorization, Data Aging
EPM , BO BI, Apps
BW managed
36
Taking the Suite to New Heights
Overview
SAP Fiori/Ux
INTUITIVE
SAP HANA
SMART
FAST
SIMPLE
SAP / Partner
Enterprise Cloud
© 2014 SAP AG or an SAP affiliate company. All rights reserved.
37
SAP HANA Platform
The Platform for Real-Time Business
Real-Time Applications
Real-Time Analytics
Information
Composer &
Modeling Studio
Application Services (e.g.
HTML 5 Server,
Search Engine)
Text Search
Planning
and
Calculation Engine
Predictive Analysis
Libraries
R & Hadoop
Integration
In-memory
Database
Data Services
Real-time
Replication
Services
SAP
In-Memory
SAP HANA Platform
Rethink in-memory computing. No Batch processes - everything in real-time
© 2014 SAP AG or an SAP affiliate company. All rights reserved.
38
Demo
Speed, Speed, Speed….
Why is MRP on HANA faster?
Current Implementation
Dispatcher
App-Server DB-Server
MRP on SAP HANA
Dispatcher
App-Server DB-Server
Read planning file entries
Read planning file entries
For every planning file entry
Read planned orders
For all planning file entries with the same low-level code
Plaf
Read
Plaf
Eban
Afpo Vbbe Ekko
Merge + Split
Read purchase requisitions
Read purchase orders
Mdbs
Read production orders
Caufv
Read sales orders
Vbbe
Plan
set 1
Read
Eban
Plan
set 2
Read
Ekpo
Plan
set 3
Merge + Split
Insert
Plaf
Insert
Eban
Insert
Resb
Read stock transfer demand
Mdup
MRP planning logic
Update planned orders
Plauf
Update purchase requisitions
Eban
© 2014 SAP AG or an SAP affiliate company. All rights reserved.
40
Personalized User Experience
SAP Smart Business Cockpit for MRP Controller
Challenges
 Total elapsed time: 2+ days
 Multiple manual steps, several
batch jobs, download/upload
 Business impact: Forecast
accuracy, promise date
attainment, Inventory
Capabilities
• Monitor KPIs and alerts
• Identify most urgent issues, considering time
to act, order values, priorities, …
• Choose from a set of pre-evaluated solution
proposals
• Single level evaluation of shortages,
uncovered demands, late supplies, external
procurement
• in-house Production, multi level evaluations,
more sophisticated solution proposals
© 2014 SAP AG or an SAP affiliate company. All rights reserved.
Benefit Drivers
 Move to real-time evaluation of the
planning situation
 Instant detection of critical
situations in the material flow
based on real time data
 Comprehensive impact analysis
 Evaluation of various solution
proposals leading to well-founded
decisions
41
SAP HANA Live
Unified View of business processes across organizational functions
SAPdelivered
Query
Views
Partner
Apps
New SAP
Apps
SAP Business
Suite
SAP
NetWea
ver BW
Multi-channel Unified User Experience
Personalized Personalized Personalized
Views
Views
Views
Custom-built
Open Interface
Customer Extensions
SAP NetWeaver
Reuse Views
SAP HANA PLATFORM
Application Services
Database Services
Operational
Reporting
Synchronizations Services
Private Views
Out-of-the-Box
Physical Tables
SAP HANA Live (VDM)
Instantaneous
transactions results-toactions
Unified view
of operations
without delay
Empowerment
for front-line
employees
* SAP HANA Live is a separate package for SAP Business Suite
© 2014 SAP AG or an SAP affiliate company. All rights reserved.
42
SAP HANA Live deployment options
Integrated Stack
SAP Frontend
Existing Stack
BOBJ
HTML 5
Any
frontend
SAP Frontend
BW on HANA
Integrated
Scenario
Any
frontend
Any
frontend
SAP Business
Suite
SAP Business
Suite
(ERP, CRM, SCM,…)
(ERP, CRM, SCM,…)
BOBJ
HTML 5
HTML 5
(ERP, CRM, SCM,…)
SAP HANA Live
Existing Stack
BOBJ
SAP Frontend
SAP Business
Suite
Sidecar
Scenario
SAP HANA
Live
SAP HANA
Live
SAP BW on
HANA
SAP HANA
AnyDB
Replication
SAP
HANA
AnyDB
Replication
SAP
HANA
Customers can add new analytics capabilities immediately without disruption to their existing
landscape. Any investment today will be valid for SAP Business Suite powered by SAP HANA.
© 2014 SAP AG or an SAP affiliate company. All rights reserved.
43
Demo
SAP HANA Live
User Experience
Introducing Fiori: As the new People Centered User Experience
Transactional
Analytical
Factsheets
SAP Smart
Business
Task-based access
Insights
Search and explore
Insight to action cockpit
Access tasks to create,
change, approve processes
with guided navigation
Get a visual overview of a
complex topic for monitoring
or tracking purposes
View essential information
about an object with
contextual navigation
between related objects
Analyze and evaluate
strategic or operational
KPIs in real time and trigger
the right action
Runs on:
Runs on:
Runs on
HANA
© 2014 SAP AG or an SAP affiliate company. All rights reserved.
45
SAP Smart Business in a nutshell
SAP Smart Business is the new User Experience for SAP Business Suite powered by SAP
HANA, combining modern working models with a consumer-grade usability. This allows key roles to
stay on top of their business making better and faster decisions by letting end users touch, analyze,
share and act in real-time.
Combining real-time insights with analytics and transactional
follow-up activities to allow better and faster decisions
New working model
New consumer-grade, responsive and consistent user
interface supporting multiple channels
User Experience
Suite on HANA
SAP Branding
New working model for Suite on HANA
coherent visual identity & theming
Built on SAP UI5
following responsive design principles
© 2014 SAP AG or an SAP affiliate company. All rights reserved.
End-to-end experience
easy to find, explore, buy, install, use, run
46
Personalized User Experience
Overview of SAP Smart Business Cockpits
Financial Close
Sales Order Fulfillment
© 2014 SAP AG or an SAP affiliate company. All rights reserved.
Cash Manager
Purchasing
Project Execution
Transportation Management
47
New business value, from platform to the user interface
Real-Time
Interactions
with
Consumer
RealTime
Planning
Real-Time
Platform
Real-Time
Execution
Real-Time
Reporting
and Analysis
Bringing Together Transactions and Analytics into One Platform
© 2014 SAP AG or an SAP affiliate company. All rights reserved.
48
Fragen & Antworten
© 2014 SAP AG or an SAP affiliate company. All rights reserved.
49 49
Vielen Dank
[email protected]
© 2014 SAP AG or an SAP affiliate company. All rights reserved.
SAP AG
Solution Center DACH
+41 79 251 21 01
50
SAP HANA – Change the Company
Entwicklungen mit SAP HANA als
Plattform
Jörg Knaus
Chief Solution Architect
[email protected]
Inhalt
• HANA: Alles ändert sich/nichts ändert sich
• Vorgehen Eigenentwicklungen
• Optimierungen/Neue Möglichkeiten
SAP HANA
Beispiele: Real-Time-Applications
http://hdb-example.cloud-test1.swisslab.io/
Klassisches ALV
ALV mit IDA (Integrated Data Access)
REPORT Z_ALV_HANA.
cl_salv_gui_table_ida=>create( iv_t
able_name = ‘VBAP' )->fullscreen( )>display( ).
Was ändert sich (nicht)?
Umstellung Eigenentwicklungen auf Hana
Vorbereitung
Code Inspektor
Migration
Muss-Anpassungen
Optimierung
Performance Tuning
‘Muss’ Anpassungen
• Generell laufen alle ABAP Programme wie zuvor
(Voraussetzung Unicode)
• Nur wo Datenbank-spezifische Techniken eingesetzt wurden,
muss eingegriffen werden:
– Prüfen der nativen SQL Statements
– Datenbank-spezifische DB-Hints (z.B aus SAP Hinweisen)
– Es gibt keine Pool und Cluster Tabellen mehr (alle
transparent)
– SELECTS ohne ORDER BY keine Garantie auf gleiche
Sortierung
Code Inspektor
Siehe Hinweis 1912445
SQL Optimizer
Eclipse: Editor für alle Entwicklungen
HANA Views
Code in die Datenbank verlagern
UI/Reporting Tools
HANA ist auch ein Applikationsserver
•
•
•
•
XS Extended Application Services
JavaScript
Odata Services
River (R)
HANA Startup-Community
Swisscom Cloud
für SAP HANA
Marcel Richard
Head of SAP HANA Cloud
Inhalt
> Swisscom Cloud Überblick
> Swisscom Cloud für SAP
> SAP Cloud Migration
Viele Clouds, viele Trends, viele Technologien
…nur für uns ist es ein und dasselbe
Unser
integrativer
Ansatz ist
weltweit
einzigartig
Alle Zielgruppen:
Privat/Business
Alle Anwendungen,
alle Branchen
B2B / B2C / B2B2C
Der integrative Ansatz bringt alle
Cloud Aktivitäten wieder unter ein Dach
CIO zurück im
Driver’s seat
CIO
Gleiche
Tools
Gleiche
Services
Gleiche
Infrastruktur
IaaS
Business und IT
bedienen sich aus
der gleichen Cloud
Offene Standards
bei den Tools
 kein Lock-in
SaaS
PaaS
Enterprise Cloud
Service Cloud
Application Cloud
IT Architekt
End User
Application Developer
IT Architect
End User
Application Developer
Enterprise Applications
SaaS Offerings for
Residential and Business
Customer
B2B2C SaaS Services build
by Partner and Developer
Community
Public
Enterprise Cloud
Service Cloud
Application Cloud
Private
One Swisscom Cloud
for Everyone
Enterprise Cloud
Service Cloud
Application Cloud
IaaS
IaaS
SaaS
SaaS
PaaS
PaaS
IaaS
Application operation
Services
Contract
Swisscom Cloud für SAP HANA
Services Überblick
DEV 98.5% to
PROD 99.7%
Service Level
Preismodelle
Security Level
System Clone
System Copy
System Refresh
HA & DR Setup
HANA Migration
Backup / Restore
SOLMAN Setup
OS Security Update
SAP Kernel Update
EhP Update
Release Update
Hybrid Cloud Setup
SAP Router Setup
System Deployment
Automatic ressource
System verification
HANA DB Instanz
Applcation Instanz
Other Instanz
Swisscom SAP HANA Cloud
Zusammenfassung
• Kundendaten bleiben in der
Schweiz
• Systeme werden umgehend
automatisch provisioniert und
stehen schnell zur Verfügung
• Hybride Clouds sind möglich
• Flexibles Bedarfs- und
Kapazitätsmanagement
Vorteile:
• SAP HANA DB für SAP und
non-SAP, SAP HANA BW, ERP
(SUITE) on HANA
• Pay as you go
• CAPEX Reduzierung
Mass rollout
2014
2015
HANA Migration
Umsetzungspfad
HANA
Vorstellung
HANA
Potentialanalyse
HANA
Roadmap
HANA Projekt
HANA
Produktion
SAP BW powered on HANA
Vom klassischen BW zum BW on HANA
Beispiel: Upgrade mit Umstellung auf Unicode
BW 7.x
UC/NC
Any DB
Upgrade
BW 7.3x
BW 7.3x
UC/NC
UC
Any DB
DB Migration
Mit UC Umsetzung
HANA
SAP Business Suite powered on HANA
Migration in zwei Schritten
SAP ERP 6.x
SAP CRM &
SAP SCM 7.0x
SAP NetWeaver
Application Server for
ABAP 7.0x
Kernel 7.x
Any DB
Update
SUM 1.0
SP 6
SAP ERP 6.16
SAP CRM &
SAP SCM 7.12
for SAP HANA
SAP NetWeaver
Application Server for
ABAP 7.40
Kernel 7.38
Any DB
Migration
SWPM 1.0
SP 1
SAP ERP 6.16
SAP CRM &
SAP SCM 7.12
for SAP HANA
SAP NetWeaver
Application Server for
ABAP 7.40
Kernel 7.38
SAP HANA
1.0 SPS 7
SAP HANA Angebot
Bruno Flückiger
Head of Consumer Goods & Wholesale
Appliance
SAP HANA –
Ihr Ticket in die Zukunft
High Performance
HANA =
Software
+ Hardware
SAP HANA
SAP übergreifend
Neue Möglichkeiten
Echtzeit
ERP, BW, Business
Objects, SQL, HTML,
MDX, SCM, CRM
Analytic
SAP HANA
Vier mögliche erste Anschlüsse
2
3
… für operatives Reporting
und Analytics
1
… zur Beschleunigung
bestehender Anwendungen
4
Real-time business
Real-time
applications
Real-time,
trusted data
Database
Technology
SAP HANA
… Technologie für
kundenspezifische KernAnwendungen
Real-time
analytics
SAP HANA Platform
… integrated Stack
mit 26 neuen SAP
Anwendungen
Ihr SAP HANA Ticket
„Gutschein“
Ihre Fahrkarte zum nächsten Anschluss
Wir sind bereit
Swisscom Enterprise Customers
Lassen Sie uns zusammen
Aussergewöhnliches erreichen.