hana organization

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ATUL PATANKAR [ ASUG INSTALLATION MEMBER MEMBER SINCE: 2000 LINDA WILSON [ ASUG INSTALLATION MEMBER MEMBER SINCE: 1999 JUERGEN LINDNER [ SAP POINT OF CONTACT MEMBER SINCE: 1998 [ ] SAP HANA: What does it mean to your organization? [ December 8, 2011 Hakan Karakas Techwave Consulting

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Page 1: Hana Organization

ATUL PATANKAR [ ASUG INSTALLATION MEMBER

MEMBER SINCE: 2000

LINDA WILSON [ ASUG INSTALLATION MEMBER

MEMBER SINCE: 1999

JUERGEN LINDNER [ SAP POINT OF CONTACT

MEMBER SINCE: 1998

[

] SAP HANA: What does it mean

to your organization?

[ December 8, 2011

Hakan Karakas

Techwave Consulting

Page 2: Hana Organization

[

Real Experience. Real Advantage. 2

Stage

Data Economy

Value Proposition

What is SAP HANA?

Implementation Scenarios

Road Map

Our Approach

Use Cases

Q&A

Agenda

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Real Experience. Real Advantage.

Stage

Information Explosion COPA Data, Inventory, Sales Orders, Demand Planning, CRM Data,

Transactions, E-mails, Unstructured Data, etc…

Real-time decision making requirement Expectation to have accurate and timely information for operational

excellence, satisfying personal experience for customers and product

leadership

Speed of Change Adaptation of changing business environment and customer needs

To address above realities business undertakes

extraordinary measures Multiple Databases, Duplicate Information, Complex Systems, Aggregate

Data, etc… which are costly and dissatisfying most of the time.

3

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Real Experience. Real Advantage.

Emerging Data Economy

Information is the oil of 21st century

To Increase the Business Value of Information:

Exploit growing volume, velocity and variety

of data

Enable evidence-based real time decision

making

Requires new mind-set, strategies and

architectures

"The task is not so much to see what no one yet

has seen, but to think what nobody yet has

thought about that which everybody sees." ,

Arthur Schopenhauer, 1788-1860

4

* Ref: Gardner, Bigger Than Big Data — How to Win in the Data Economy

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Real Experience. Real Advantage.

SAP HANA Value Proposition

SAP HANA with Business Analytics and Mobility solutions can help

your organization in addressing today’s business realities

With SAP HANA, you can:

Access high volumes of detailed information -now

Make Decisions in Real-time – ad-hoc views

Accelerate Business Performance –increased information flow

Unlock New Insights –data mining, predictive and trend analysis

Increase Business Productivity –reduce reliance to IT

Improve IT Efficiency –lower landscape costs, reduce TCO

5

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Real Experience. Real Advantage.

What is SAP HANA?

HANA is a Analytic Appliance

In-memory SAP Software + Special Hardware

In-memory computing engine and database platform that can help you

query multiple types of data sources in real time at speed and volumes

HANA is a database technology

SQL and MDX interfaces, relational stores, persistence, delta storage, set

processing, fast inserts, max read concurrency, etc…

Row and Column Store with compression

No materialized views or aggregates, they are computed on the fly

HANA is a platform

Fundamental shift in the enterprise computing architecture

One platform for transactions and analysis

Database level computation, leaner applications concentrating only on

user interaction and information presentation.

6

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Real Experience. Real Advantage.

High performance ANalytics Appliance

SAP HANA

SAP HANA is a flexible, data-source-agnostic appliance that

enables customers to analyze large volumes of SAP ERP data in

real-time, avoiding the need to materialize transformations.

SAP HANA is a hardware and software combination that

integrates a number of SAP components including the SAP HANA

database, Sybase Replication technology and SAP LT

(Landscape Transformation) Replicator.

SAP HANA is delivered as an optimized appliance in conjunction

with leading SAP hardware partners.

SAP HANA database

The SAP HANA database is a hybrid in-memory database that

combines row-based, column-based, and object-based database

technology. It is optimized to exploit the parallel processing

capabilities of modern multi-core/CPU architectures.

The SAP HANA database is the heart of SAP’s in-memory

technology offering, helping customers to improve their

operational efficiency, agility, and flexibility.

7

SQL MDX BICS SQL

SAP In-Memory Computing studio

Real-time Data

Replication

SAP Business

Objects Data Services

SAP HANA™

Other Applications SAP BusinessObjects

BI Solutions

SAP

NetWeaver BW

SAP Business

Suite 3rd Party

SAP In-Memory Database

Calculation and Planning

Engine

Row & Column Storage

* Ref: SAP HANA Landscape

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Real Experience. Real Advantage.

SAP HANA can…

Provide real-time access to relevant information in a cost

effective and practical way

Make big data valuable to corporations

Easy integration with existing systems

Address the needs of real-time information presentation to

mobile devices.

Standalone analytic appliance

Seamless integration with Business Objects tools

8

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Real Experience. Real Advantage.

How it is possible?

Modern CPUs with multicore architecture and

abundance of memory makes it feasible to

delegate most calculations to database layer

and unleashes the power of in-memory

computing.

However, in-memory database systems of

the relational type based on row storage does

not show significant advantages over leading

DBMS with equivalent memory and caching.

Optimization specifics to column-oriented

Late Materializations

Block iterations

Column-specific compression techniques

9

Row and Column Store

Compression

Partitioning

In-Database Computing

No Aggregate Tables

Real-Time Replication

Insert Only on Delta

Multi-Core / Parallel Architectures

* Ref: SAP HANA

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Real Experience. Real Advantage.

Columnar Data Store

10

U1 1,000.00$ 1 U1 2,000.00$ 0 U3 5,500.00$ 0 U4 10,000.00$ 0 U5 3,500.00$ 1

U1 U2 U3 U4 U5 1,000.00$ 2,000.00$ 5,500.00$ 10,000.00$ 3,500.00$ 1 0 0 0 1

Row Store

Column Store

Columnar data store

Optimizes load of data to CPU Set processing

Parallel processing

High data compression Low information entropy

Can use schemes like run-length encoding

Very fast data aggregation

U1 1,000.00$ 1

U2 2,000.00$ 0

U3 5,500.00$ 0

U4 10,000.00$ 0

U5 3,500.00$ 1

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Real Experience. Real Advantage.

Implementation Scenarios

11

Non-Certified

ERP SAP In-Memory Database Real Time

DB

SAP BW 3rd Party

SAP BusinessObjects Data Services

SAP

HANA (Appliance)

SAP BusinessObjects BI 4.0

Semantic Layer

Crystal WebI Dashboards

Explorer A Office

SQL

(ODBC/JDBC) BICS

Mic

roso

ft

Exce

l

MD

X (

OD

BO

)

DBSQL

Crystal

SQL

(ODBC/JDBC)

SQL

(ODBC/JDBC)

3rd party application

* Ref: SAP HANA

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Real Experience. Real Advantage.

Getting Data in to SAP HANA

Trigger-Based Replication

Trigger-Based Data Replication Using SAP

Landscape Transformation (LT) Replication

Server is based on capturing database

changes at a high level of abstraction in the

source ERP system.

ETL-Based Replication

Extraction-Transformation-Load (ETL)

Based Data Replication uses SAP Business

Objects Data Services to specify and load

the relevant business data in defined

periods of time from an ERP system into the

SAP HANA database.

Log-Based Replication

Transaction Log-Based Data Replication

Using Sybase Replication is based on

capturing table changes from low-level

database log files. This method is database-

dependent. (DB2)

12

* Ref: SAP HANA Technical Operations Manual

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Real Experience. Real Advantage.

Road Map – Evolution

13

SAP

ECC BW APPS

HANA 2.0+

HANA 1.X

HANA 1.0

Flexible real time analysis

of operations at non-aggregated

level

BW

• Real-Time operational planning

and simulation capabilities

• Primary persistence and optimized

for SAP BW

• Reduced landscape complexity

• Value chain transformation

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Real Experience. Real Advantage.

Road Map – HANA Architecture

SAP’s long term application infrastructure

strategy based on in-memory DBMS, mobility

and cloud

HANA analytic appliance is the first product build

on this platform

Mid term:

Lightning fat Business Analytic applications

SAP NetWeaver BPM and PI will be combined to

provide unified human-to-human, system-to-

system workflow and application integration.

NetWeaver Gateway – lightweight RESTfull SOA

interfaces into SAP applications.

ABAP as next generation

End state: PaaS

Cloud-enabled application infrastructure derived

form NetWeaver and based on SAP HANA

database 14

* Ref: Gardner, SAP Throws Down the Next-Generation Architecture Gauntlet with HANA

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Real Experience. Real Advantage.

Our Approach

Understand your business process

Select a process area that can have the most business value

Set up a project team

PM & Strategy

Business Analysts

Data Modeler

Technical – landscape, networking, environment, support

Build / Customize your data model or Utilize Pre-built data models for your industry

Move your data to HANA – LT, Data Services

Present the information - Business Objects

Replicate the success to other business processes!

15

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Real Experience. Real Advantage.

Immediate Use Cases

Sales Reporting Current Challenges

Challenging to see flow of

Order to Cash in Reporting

Multiple Info Cubes and

Complex Data Model

Huge data volumes and slow

report performance

Complex data loading process

and takes long data load times

HANA Solution

Integrated model to provide

visibility in to end to end flow of

OTC process

Real-time data replication

enables quick decision making

Provides the visibility in to

Sales across various source

systems

Ability to drill-down to specific

customer, item or order

16

GL Line Item Reporting Current Challenges

Organization with huge data volumes

can not bring data to BW

Finance team always want to drill

down to lowest level of details

Only Summary data is available in BW

at Monthly level

Faster access to data is required when

closing the financial periods

HANA Solution

Complete details can be part of HANA

model and no need to summarize

Real-time data replication enables

immediate access to details and speed

up financial close process

BSEG table provides most of the data

required for this solution

HANA can help to drill down from GL

to Asset Accounting, Account Payable

and Account Receivable modules

APO Current Challenges

Large volumes of data

Unable to run analysis on

different scenarios right from

APO

Unable to load data in large

volumes to BW in a timely

manner to support analytics

HANA Solution

HANA can handle huge

volumes of data and provide

ability to quickly analyze

using various reporting tools

APO programs/calculations

can leverage HANA

Calculation engine

Drill down to lowest level of

data is quick and easy with

HANA

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Real Experience. Real Advantage.

Q&A

Q &A

17

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Real Experience. Real Advantage.

Techwave Consulting

18

Our vision is to HELP…

Our clients make the right

business decisions using

the right information at

the right time through

sustainable process

driven Business

Intelligence, Process

Management, and

Enterprise Performance

Management solutions.

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Real Experience. Real Advantage.

We Want to Hear From You

19

Hakan Karakas

Vice President

[email protected]

Srinivas Kode

Business Intelligence Practice Lead

[email protected]

Rajasekhar Gummadapu

Vice President

[email protected]

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Real Experience. Real Advantage. 20

] Thank you.