Sap ac100 col03 sf 1503 latest sample www erp_examscom

0 2111511AP8Ear., SAP--· Ill rtgNo -·
Abstract
Target Group
General Description
Learning Objectives
Duration
Application Consultant
Support Consultant
Project Manager
This course provides an overview of the new functionality of the SAP Simple
Finance On-Premise Edition 1503 and analyses the steps for migration to the
SAP Simple Finance On-Premise Edition 1503.
Explain the scope and impact of the SAP Simple Finance On-Premise
Edition 1503
Understand the prerequisites for migration to the SAP Simple Finance On
Premise Edition 1503
Configure the system in preparation for migration.
Perform migration to the SAP Simple Finance On-Premise Edition 1503.
Demonstrate the immediate changes from the migration.
2 days (classroom), 10 hours (self-study)
C 2015 SAPSEoran SAPaffilial9oompeny. All rights r&Served
©SAPSE AC100
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AC1 00 Unit Overview
SAP Simple Finance On-Premise Edition 1503 - Migration
Unit 1: Overview of
Unit 2: Overview of the SAP
Simple Finance On-Premise
Edition 1503
Unit 3: Migration to the SAP
Simple Finance On-Premise
Edition 1503
otl 2015 SAPSEoran SAP alfili.atacompany. All rightS re.serv9d
©SAPSE AC100
Unit 4: Results of Migration
to the SAP Simple Finance
On-Premise Edition 1503
2

0 211158AP8Ear.,SAP--.AIIrtglllo-
Unit 1 -Agenda
(Introducing SAP HANA
�
(Introducing S4/HANA )
Introducing Simple Finance
C 2015SAPSEor an SAPaffilial9oompeny. All rights r&Served
©SAPSE AC100 3

Learning Objective
After completing this lesson, you will be able to:
• Explain the common pain points in a system using a classic
database
• Explain how SAP HANA can provide solutions for these pain
points
©SAPSE AC100 4

Scenario
Your business has to process an ever increasing flood of data.
You are looking for ways to extract meaningful information
from this data and to be able to report on it efficiently.
You are interested in understanding how SAP HANA can help
you with your data storage and analysis needs today. You also
want to make sure SAP HANA is the right core to future proof
your organization in preparation for the information explosion
coming with the expansion of the Internet of Things.
Traditional Database Systems
Historically, database systems were designed to perform well on computer
systems with limited RAM. As a consequence, slow disk 1/0 was the main
bottleneck in data throughput. The architecture of those systems was
designed with a focus on optimizing disk access, for example by minimizing
the number of disk blocks (or pages) to be read into main memory when
processing a query.
C 2015 SAPSEoran SAP alfilial9company. All rights re.served
©SAPSE AC100 5

Tradeoff- Broad & Deep or Speedy & Simple
DEEP
OR
DEEP
HIGH SPEED
BROAD
SIMPLE
REAL-TIME
SIMPLE
Traditional Model Disadvantages
Sub-Optimal Execution Speed
• Lack of responsiveness
• User frustration
• Unsupportable business processes
Lack of Transparency
• Need for aggregation
• Outdated figures
• Guesstimating
Reactive Business Model
• Missing opportunities
• Competitive disadvantage
C 2015 SAPSEoran SAPalfilial9company. All rights re.served
©SAPSE AC100 6

The Vision of SAP HANA
A Common Database Approach for online transaction processing
(OLTP) and online analytical processing (OLAP) Using an In-Memory
Column Database
Hasso Plattner· Co-founder and Chairman of the Supervisory Board of SAP
Transactions + Analysis + Acceleration
processes separated
Transact Analyze Accelerate
• 3 copies of data in different data
models
• Inherent data latency
• Poor innovation leading to wastage
vs
One individual copy of data for
Transactions + Analysis, all in Memory
• Eliminate unnecessary complexity &
latency
• Less hardware to manage
• Accelerate through innovation,
simplification + in-memory
Modern Hardware and Software Architecture
Re-Designed DataBase Management System: Reduce Latency
8 CPU x 15 Cores per blade
Massive parallel scaling wnh many blades
IIII
OLTP+OLAP
in column Store
. ..·==•••..
Partitioning Insert Onlyon Delta
12 TB In current servers
Dramatic decrease In pricelperfonmanoe
No Aggregate tables
(Dynamic Aggregation)
Compression
Logging and Backup
••
Solid State Flash
©SAPSE AC100
•
HOD
7

Simplify Data & Application Processing
SIMPLIFIED
OLTP+ OLAP
In Columnar database
CONVERGED
End-to-end
Data Processing
( Planning ) ( Text
SAP HANA permits OLTP and OLAP workloads on the same platform
by storing data in high-speed memory, organizing it in columns, and
partitioning and distributing it among multiple servers. This delivers
faster queries that aggregate data more efficiently yet avoid costly full
table scans and single column indexes.
Paradigm Shift for Developers
Application
Layer
T
Database
Layer
OPTIMIZED
Application
Processing
Database & data
processing engines
Application Server
Planning, Calculation
engine
Libraries of statistical,
predictive and business
functions
Calculation
In traditional applications (especially from SAP), the database is largely used as a data store
mechanism only. Massive queries bring large amounts of data back to the application server
for processing. Lots of application execution time is spent in the application server looping
over records and performing exclusions, calculations, etc.
With HANA, the key to the best application performance is pushing as much of the logic
execution into the database as possible. We now "trust" the database. Keep all the data
intensive logic down in the database as SQL, SQLScript, and HANA Views.
©SAPSE AC100 8

Related SAP Links
Where What Link
SAP.COM SAP HANA htt12://hana.sa12.COm/
Help Portal SAP HANA Innovations for SAP http://help.sap.com/hibs
Business Suite
Learning Summary
You should now be able to:
• Explain the common pain points in a system using a classic
database
• Explain how SAP HANA can provide solutions for these pain
points
©SAPSE AC100 9

Unit 1 -Agenda
( Introducing SAP HANA
)
[0troducing S4/HANA
Introducing Simple Finance
©SAPSE AC100 10

Learning Objective
After completing this lesson, you will be able to:
• Provide an overview
• Explain the benefits
• Describe the delivery roadmap
• Understand the deployment options for SAP S/4HANA
©SAPSE AC100 11

Scenario
You are in the process of evaluating your IT infrastructure
based on the best possible choice of deployment (on-premise,
cloud, hybrid). You want to remain flexible and assure
maximum continuity and support.
You also wish to speed-up your business processes and
reduce your operational costs by taking advantage of the
latest technology. For this, you are investigating the speed
and simplification benefits of in-memory computing.
Finally you want to provide users with a modern and simplified
user experience optimized for all devices.
otl 2015 SAPSEoran SAPalfili.atacompany. All rightS re.serv9d
SAP HANA, the great simplifier of enterprise software
SAP HANA
• In-memory platform • Real-time business • Instant financ.ial
• Real-time reporting • OLAP and OLTP insight
together • No aggregates
• Simplified data model
• SAPHANA • Single source of • New user experience
Enterprise Cloud for truth
• Advanced processing
SAP Business Suite
on SAP HANA • Choice of deployment
2011 2012 2013 2014
I
' Multitenancy
2015
SAP S/4HANA is the next generation business suite to help lines of business and
industries run simple, with all that only HANA can do. SAP S/4HANA combines the
most recent innovations (SAP HANA platform, SAP Fiori UX) with +40 years of
experience in mastering complex industry challenges in a new Suite that caters to
digital, networked economy
©SAPSE AC100 12

Key Enablers to Run Digital Transformation
SAP HANA AS THE
UNDERLYING
PLATFORM:
OLAP&OLTP
MERGE
IN-MEMORY
COMPRESSION
INCREASE IN SPEED
SAPHANA
SAP FIORI
REAL·TIME&
SIMPLIFIED
•SAP FIORI AS THE USER
EXPERIENCE (UX) PARADIGM;
•UNIFIED CROSS-APPLICATION
USER EXPERIENCE
54/HANA Business Value
Reimagined
Business Models
Simplicity to connect to people,
devices, business networks
No more complex collaboration-
all business connected
S/4HANA
Reimagined
Business Processes
Simplicity to focus on the essential tasks
and change business processes
lit�
&ra
No more batch-all processes in real
time
©SAPSE AC100
/SIMPLIFICATION OF
APPLICATIONS AND
UNDERLYING DATA MODEL:
NO AGGREGATES&NO
INDICES
HIGHER FLEXIBILITY&
THROUGHPUT
DATA FOOTPRINT
REDUCTION
WEB-BASED, ALL DEVICES
ROLE-BASED
Reimagined
Business Decisions
Simplicity to get any insight on
any data from anywhere
No more manual consolidation-all
decisions
on the fly and at the highest level of
granularity
13

Value for IT and Users
Reimagined
User Experience
Simplicity to get the job done
on
anydevice with SAP Fiori UX
and interactive graphics
�
�
Function oriented Role oriented
otl 2015SAPSEoran SAP alfili.atacompany. All rightS re.serv9d
S/4HANA
Reimagined
System Configuration
Simplicity to configure the system
with guided configuration
Guided configuration
Reimagined
Data Models
Simplicity to reduce data footprint
with in-memory technology - no
indices, no aggregates, no
redundancies
Traditional
databases
11111111
�·11111111
In-memory
platform
Technical & business values
Enterprise Software for Big Data and Agility
©SAPSE AC100 14

Delivery Roadmap 2015
SAP
S/.mANA
On-Premise
SAP
S/.mANA
Cloud
•
SAPS/-mANA
On-Premise
(next shipment)
..
on-Premise Annual innovation cycle
�--------�----------------------------------�
Public Cloud
Q22015
• Holistic approach across Cloud and on-Premise
Quarterly innovation cycle
Continuous innovations
without disruption in
2016 and beyond
• The SAP S/4HANA Suite is now the default solution offered for new customers
• For the cloud, there is a continuous incremental extension of scope planned
throughout 2015 with an aggressive roadmap to quickly deliver more business
scenarios
The Next Generation Business Suite
S/4 Products
©SAPSE AC100 15

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