Dr Pepper Snapple Group Speeds Move to SAP HANA with · PDF fileDr Pepper Snapple Group ... Please remove this slide from your final ... Dr Pepper Snapple Group Speeds Move to SAP

Dr Pepper Snapple Group Speeds Move to SAP HANA with Data Management

BITI6991

Diane Hicks, Dr Pepper Snapple Group,Dr. Werner Hopf, Dolphin

4

SPEAKERS

Diane Hicks

Director – Application Support, Dr Pepper Snapple Group

Ms. Hicks leads the Application Support organization at Dr Pepper Snapple Group.

Additionally, she is responsible for Data Volume Management in the SAP systems.

Jim Paschke

Principal Data Consultant, Dolphin

Mr. Paschke is primarily focused on sustained operation and automation for SAP Data

Volume Management

Dr. Werner Hopf

Chief Executive Officer & Principal Data Consultant, Dolphin

Dr. Hopf specializes in SAP Information Lifecycle Management initiatives including Data and

Document Archiving, SAP Archive Link Storage, and Business Process Solutions.

AGENDA

• Why move to SAP HANA?

• About DPSG and the Journey to SAP HANA

• DPSG Data Volume Management Strategy

• Results

• Wrap Up

6

ANTICIPATED BENEFITS OF MOVING TO SAP HANA

Benefits of moving to

Business Suite on HANA:

• Faster performance

• New capabilities

• Better user experience

• Simplified IT

infrastructure

• Real-time reporting &

analytics

7

THE NEED FOR A SAP HANA TRANSITION PLAN

In 2015, SAP announced that they

would continue support for the current

generation of enterprise solutions with

the SAP Business Suite until 2025.

Over the next 7 years every

organization that is running SAP

systems will have to consider how they

are going to make the move to

S/4HANA.

8

The lightning fast, columnar SAP HANA

database compresses data, which makes it

possible to keep large volumes of data in

productive systems.

However, a significant percentage of the data

in existing SAP systems is old or obsolete

and should not be moved to SAP HANA

TechEd 2016: ITM211 -Data Volume Management in the Context of SAP S/4HANA Conversions

~50%of data in SAP

systems is 2 years old

or older

22% of data is related to

basis objects

33% of the largest ERP

tables are custom (z-)

tables

9

TYPICAL CHALLENGES WHEN MOVING TO SAP HANA

Short Migration Window

LargeDB

Footprint

Complex System

Landscape

Information Access &

Compliance

AGENDA




• Results

• Wrap Up

ABOUT DR PEPPER SNAPPLE GROUP• The Leader in Flavored

Beverages• 50+ brands

– Soft drinks, teas, juices, juice drinks, waters, mixers

• Operations in U.S., Canada, Mexico & the Caribbean

• $6.4 billion in sales (2016)• 20,000 employees• NYSE: DPS

11

DR PEPPER SNAPPLE GROUP – SAP LANDSCAPES

12

SAP LandscapesArchived this system to

facilitate Suite on HANA

Migration

SAP Environments DB

ECC - Direct Store Delivery Business Unit HANA

BW - Direct Store Delivery Business Unit HANA

ECC - Beverage Concentrate Business Unit Oracle

BW - Beverage Concentrate Business Unit Oracle

BWA - Beverage Concentrate Business Unit BWA

ECC - Mexico Business Unit Oracle

BW - Mexico Business Unit Oracle

MDM - Master Data Management Oracle

EWM - Extended Warehouse Management Oracle

CRM - Customer Relationship Management Oracle

APO - Advanced Planning and Optimization Oracle

HCM - Human Resources & Payroll Oracle

SOLMAN Oracle

CE - Composition Environment Portals Oracle

PI - Process Integration Middleware Oracle

SRM - Supplier Relationship Management Oracle

13

DPSG JOURNEY TO SAP S/4HANA

SAP ECC System

Business Suite on

HANA

S/4HANA

Live since 2009

Mid 2017 (planned for Finance only )

October 2016

14

MIGRATION CHALLENGES FOR DPSG

• Large SAP ECC Database was not compatible with our plan to migrate to Suite

on HANA. Even after archiving technical tables, the Oracle Database was 22TB

and growing by 400 Gb every month.

• New HANA hardware was 12 TB – we needed to fit in the new HANA box and

be able to stay within the limits of the hardware for the foreseeable future.

• Suite on HANA Migration window was 72 hours max; which included an EHP

upgrade, the HANA data migration, IT validation, and business validation. We

needed to reduce hours where ever possible.

• Could not impact in anyway the Stack XML used by the HANA migration team.

• Business personnel were concerned about being able to access archived data.

15

DPSG - ARCHIVING TIMELINE

Oct 2015

March 2016

Archiving

begins on

Technical

Objects:

IDOCs,

ACCTIT,

VBOX,

BALDAT,

DBTABLOG

After

archiving was

complete,

database

was 22 TB

and growing

by 400 GB

per month.

Archived 4 TB of Technical Objects

Needed to archive business data in

6 months to meet target date

Oct 2016

Target

date for

HANA

Migration

AGENDA




• Results

• Wrap Up

17

GOALS FOR DATA ARCHIVING STRATEGY

1. Reduce Size of the Oracle Database prior to the HANA Migration with primary

focus on large cluster tables

2. No changes to Stack XML to prevent any impact on ongoing HANA Migration

testing (no SAINT or SPAM changes)

3. Enable transparent access to all archived information shortly after go-live with

ECC on HANA

18

DR. PEPPER SNAPPLE GROUP SOLUTION

Phase 1:

• Rapidly reduce database size using accelerated archiving tool,

focusing on large cluster tables

Phase 2:

• Provide business users with seamless access to archived data using archive

retrieval modules

Phase 3:

• Enable faster reporting on archived data with nearline storage

19

DPSG – TIMELINE FOR ARCHIVING OF BUSINESS DATA

April 2016

July 2016

Oct 2016

Sept2016

Targeted

HANA

Migration

FI_DOCUMNT

RV_LIKP

SD_VBRK

SD_VBAK

COPAA

MM_MATBEL

CO_ITEM

May 2016

Aug 2016

June 2016

FI_DOCUMNT

RV_LIKP

SD_VBRK

Proof of Concept to Gain Business Buy-In

>8.7 TB of data deleted

in only 4 Months

More than 700 Write jobs and 19,800 Delete jobs

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DPSG DATA VOLUME MANAGEMENT SOLUTION COMPONENTS

Accelerated Archiving

Schedule all configured

Archiving objects

Monitor Progress of

Archiving jobs


Archive Add Ons Provide Users with Seamless Access to Archived Data

Selection

results

Online data

Archive data is indicated

with an * in the Archive

colum

Totals from

archive + database


22

SP7

HANA

DB

SP7

CI

SAMBA

Share

B102PLE

0

Long-term

Storage

SAMBA is used only as temp storage

during the Write step of archiving

process

B171PLE0 is the only App server used

during the actual Archiving of Data to the

Repository. All seven App servers are

used to access data once it is archived.

Archiving happens in 4 steps:

1) Write: write the data to be

archived to .ADK files.

2) Store: move archived data to

long-term storage

3) Delete: delete the data from the

database.

4) Index: for objects that are PBS

enabled, run the indexing

procedure.

Production Hardware Diagram

Repository Data

can be read from

any App Server

Temporary

Connection

During Write

Step

1

3

Near-line

index and

cache

Server

B205PLE0

4

2

SP7

App Server

B171PLE0


Near-line Indexing and Caching

AGENDA




• Results

• Wrap Up

25

DPSG - ARCHIVING TIMELINE

April 2016

June 2016

Oct 2016

Proof of

Concept

Begins with

Dolphin

Archiving

Starts with

Dolphin

Accelerator for

Business data

Pre-HANA

Archiving

Complete:

8.7 TB

removed

from DB

Sept2016

HANA

Migrati

on

Oct 2015

March 2016

Archiving

begins on

Technical

Objects:

IDOCs,

ACCTIT,

VBOX,

BALDAT,

DBTABLOG

After

archiving

4TB of

Technical

Objects, the

DB was

22TB and

growing by

400 Gig per

month.

Archived 4 TB of Technical Objects Archived an Additional 8.7 TB of Data

DPSG DATA VOLUME MANAGEMENT RESULTS

26

Results of Archiving with Dolphin

June 1, 2016 through September, 2016

Module Key Business itemsLarge/Key

Table/Cluster

TB Expected

Space Archived

TB Actual

Space

Archived

% Achieved

SD Sales Orders

Deliveries

Billing Documents

KONV/KOCLU 3.198 4.307 134.69%

FI Financial documents BSEG/RFBLG 2.283 1.801 78.88%

MATBEL Material Movements MKPF/MSEG 0.000 1.260

COPA Profitability Analysis CE12000 1.075 0.675 62.82%

Technical Idocs

Application logs

Database logs

EDI40 1.232 0.000 0.00%

CO Controlling COBK 0.505 0.440 86.97%

LIS Logistics Info Systems S033 0.457 0.209 45.80%

Total 8.750 8.692 99.34%

Met >99% of Archive Target in Only 4 Months


27

26

15.2

10.89.8 9.4 8.6 8.1 7.8 7.5 6.9

11.86

22.15

14.51

10.2

6.31

11.61

14.51

5.135.09 5.83

7.289.1

7.49.44

4.22 4

7.4 5.3

4.1 4

0

5

10

15

20

25

30

Data Migration Times Before, During & After Archiving

Before Archiving During Archiving After Archiving


28

Archiving significantly reduced the duration of the HANA Data Migration step.

AGENDA




• Results

• Wrap Up

30

DPSG DATA VOLUME MANAGEMENT STRATEGY

SAP ECC System

Business Suite on

HANA

S/4HANA

Live since 2009

Mid 2017 (planned for Finance only)

October 2016

Accelerated Archiving

to reduce footprint

Long-term archive storage

Transparent access

Continuous Data Aging and

Data Archiving

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7 TAKE AWAYS

1. Start archiving early and obtain business approval by including them in decision making and testing.

2. Start with technical objects while you are getting approval for business objects.

3. SAP Data Archiving is a unique skillset, get the right resources.

4. Tight timeline requires periodic intense focus by client stakeholders.

5. Don’t forget to test. Testing can be complex and you need to have enough time and the right resources to do so.

6. Automated archiving significantly reduces time and effort required to reduce footprint to prepare for SAP HANA migration.

7. Data management should be considered early in the lifecycle of every system.

5© 2016 Dolphin

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Focus: SAP Customer Only

Proven: solutions for the SAP customer leveraging SAP technology and certified by SAP

Stature: 1/3 of all Fortune 100TM companies running SAP are Dolphin customers

Stability: Employee owned; private; independent of other stakeholders; organic growth

Longevity: Established in 1995

Global Solutions: Hundreds of scalable, flexible and cost effective deployments

ABOUT DOLPHIN

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Dr Pepper Snapple Group Speeds Move to SAP HANA with Data Management

BITI6991 Diane Hicks, Dr Pepper Snapple Group,

Dr. Werner Hopf, Dolphin

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