DiscoverBest of Show 20162. - 3. März 2016, Düsseldorf

Transformation Area:Database Application Optimisation & Archiving mit Structured Data ManagerMatthias Binder, Technical Consultant Hewlett Packard Enterprise Software

Agenda

Introduction

Structured Data Manager – use case overview

SDM components

Case Studies & Summary

Enterprise Application Management

• How to apply data retention policies to existing applications• All data offered the same service level

Control Costs

Information Lifecycle

Maintain Service Levels

• Data volumes are getting larger increasing both hardware expenditure and operational costs.

• Legacy application are taking up space and budget

• Application response time and batch processing performance• Full backups becoming longer

Keys to application management Challenges

Information Security • Legislation is forcing protection of Personally Identifiable Information (PII)• Offshore development and testing needs data.

Performance and Availability Issues

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Diminishing service levels• Application performance degradation• Higher operational costs• Lengthening backup and recovery windows • Increased downtime requirements for upgrades• Escalating infrastructure requirements• Multiplied by additional copies• …

Active and inactive data replicated in full for backups, disaster recovery, as well as test, development, and Q/A clones• 3-25+ copies not unusual

Total Data Volum

e

Growth

Performance

Production Database

BKUP

TEST

TRAIN

DEV

PREPROD

UAT

Use cases structured data manager

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HPE Structured Data ManagerEnterprise Management for Structured Data

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Performance Optimization• Reduce data footprint &

storage costs• Maintain application

performance• Improve backup & recovery

Application Retirement• Decommission redundant

applications• Preserve access to retired

data

Test Data Extraction• Extract subsets of data for

use in application development

• Mask sensitive data

Search & eDiscovery• Index application data for free

text search across silos• Identify and extract relevant

sets of data for legal

Apply Information Lifecycle PoliciesPerformance Optimization

– Move inactive data from production databases to stabilize performance

– Provide application access to inactive data

– Can Retire records to a “compliance” store as 3rd Tier of Archiving

– Provide access to file based archive via SQL reporting tools

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Growth

Performance

Predictable, stable performance band

Growth

Performance

“Standard” reporting tools

Archive Database Retired Records

“Archive”

Business Application

Production Database

Expedite backup performance

– Minimize the backup image required by reducing the volume of data to be backed up

– Lower the risk of long disruptions and accelerate disaster recovery

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Business Application

Production

Weekly full Recovery

Backups

Business Application

Static, compressed

Weekly full Recovery

Backup

Monthly full

Monthly Archive

Backups

Production Archive

Recovery

Application retirement process

Retire outdated applications

– Automate the process of extracting, validating, and deleting data from applications

– Lower database maintenance costs

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DBApplication

Manual steps

Man

ual

Non

-Co

mpl

iant

ManualValidation

ManualValidationWeeks

Auto

mat

ed

Def

ensi

ble Application

retirement accelerator Archive

HoursDefensiblyDisposed

Active Data<20%

Historical Data>80%

Legacy Application

Selectively retire Data

Selectively extract Data

Capture Application Logic from Application

Experts, Reports, Queries, etc.

SQL-Queries:select *from ORDER_HEADER OH, ORDER_LINE OL, CUSTOMER Cwhere OH.ORDERID=OL.ORDERID and OH.CUSTOMERID=C.CUSTOMERID;

Manage Retention, Legal Hold and defensible Deletion Ensure Compliance by providing Authenticity, Reliability, Integrity and Usability of archived data

XML

Find, retrieve and query Business Records from Archive

Migrate Data

Active Data

Active Application

XMLLoad into temporary database and transform

Documentation of Application Logic

Query Server or XML-Query tool

Application and Information Retirement process

Application and Information Retirement process

SQL-Queries:select *from ORDER_HEADER OH, ORDER_LINE OL, CUSTOMER Cwhere OH.ORDERID=OL.ORDERID and OH.CUSTOMERID=C.CUSTOMERID;

Manage Retention, Legal Hold and defensible Deletion Ensure Compliance by providing Authenticity, Reliability, Integrity and Usability of archived data

XML

Find, retrieve and query Business Records from Archive

Active Data

Active Application

Documentation of Application Logic

Query Server or XML-Query tool

• “Retired application” content long-term readable• Potentially reduced licensing cost (no DB

required)• Application developers working on current online

applications not on the “retired dataset“

Test Data Extraction

Test data extraction/Data Masking

–Data Masking routines can be added to any source object at design time

–Can be applied to archiving and/or subsetting–Data is masked using native DB routines or

scripted functions.–Supports both pre-supplied, custom developed

and third-party routines–Data is masked during the movement process

before writing to the source to ensure data security

Source Database containing PII & other sensitive

data

MaskedData

Archive or Subset Files

Archive or Subset Databases

Improve search and eDiscovery

• Achieve better visibility into, and proactively consolidate, previous difficult-to-access data

• Lower costs of eDiscovery and investigations, and increase end-user productivity

Product Overview & components

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Enterprise Archiving for Structured DataProduct Overview

HP Structured Data Manager provides– Flexible policy based structured data management– Centralized multi-system management – Repeatable automated process definition– Easy to use Design tools – Archive to Database or file– “Index” structured data for text search across silos– Access to archived data via simple reporting interface– Documented processes

Supports– Out of the box support for Oracle, MS SQL, Sybase, DB2– Self certification for JDBC Connectors for other database types– Predefined integration modules for Oracle EBS and Peoplesoft

Management ConsoleProduct Overview

– Browser based management console– Role base security– Manage Multiple Environments– Define, Configure, Schedule and Execute – Monitor progress– View eligibility analytics

– Application Retirement “Wizard”

– Reporting Interface for Archived Data

– Free Text Search

– Custom Interfaces (Extensions)

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DesignerProduct Overview

– Visual modeling environment to define business transactions

– Edit and Enhance pre-packaged modules

– Create Modules for:– Data Movement– Data Extraction– Data Indexing– Reporting

– Build bespoke modules to integrate into almost any application

– Define tasks as part of a workflow

– Produce process documentation

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Ready-to-run Archive Modules Product Overview

– Structured Data Manager ready-to-run modules for Oracle E-Business Suite– Including: Human Resource Management, Financials, Manufacturing, Supply

Chain Management, Sub-Ledger Accounting, CRM

– Pre-defined relationships among all tables comprising each business transaction

– Complete business rule definitions to determine data eligibility and status

– Installable run-time modules ready-to-run in Oracle environments

– Project file definitions for import into Designer to perform data analysis, customizations, and testing

– Oracle Validated Integration with E-Business Suite.– https://solutions.oracle.com/scwar/sc/Solution/SCSP-FGKBJVUX.html

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Archive AccessProduct Overview

File extraction– SDM Query Server Cache provides SQL Access to “Retired” Data

– Ad-hoc queries using SQL– Any Database Compliant tool – e.g.. Business Objects, Crystal Reports, Excel etc.– HP SDM Data Access Reports

– Migrate any existing reports to new platform

– Accessible from databases (Linked Server, OHS etc.)

24Archive Storage Location

SDM

Production Database

Structured Files

Cache Database

SQL Queri

es

Case Studies & Summary

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– Gartner SDAAR Magic Quadrant 2014

“HP offers HP Structured Data Manager for database archiving and application retirement. The product is mature, due to its long history in this market dating back to 1998…. Customer support, responsiveness, knowledge and product flexibility are positive attributes, particularly compared with competitive offerings.”

Customer Examples

Procter & Gamble – World‘s largest consumer products company

– HP SDM & RM archive for application retirement

– Oracle, DB2, SQL Server & Mainframe applications

– 12 Applications retired including billing, distribution and HR data

MKK – Turkish central securities depository

– Capture all Trading data in Oracle

– Archived 22 TB of data by 2015

– Less than 12 month ROI

EFG Eurobank - third largest bank in Greece

– Finance applications

– Cost reduction, performance and compliance

– Oracle, SQL Server & DB2 applications

HP

– Management of 100+ Applications

– 57 Billion Records archived at last count

– Performance and Record Management

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© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.29

Next Steps

• Visit the SDM Product pages for data sheets, case studies and more

– www.hp.com/go/sdmanager

– www.autonomy.com/products/structured-data-manager

– www.youtube.com/watch?v=1GQPi9fmvSo

• Application Analysis & Deep Dive

System Overview

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Largest Modules/Tables

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Summary

HP Structured Data Manager provides:

– Enterprise level archiving for structured data

– Performance Optimization

– Compliance Archiving & Application Retirement

– Data Subsetting & Masking for test environments

Proven benefits in:

– Application performance

– End user satisfaction

– Storage & backup management

– Application upgrades

– Application Retirement

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Thank YouAny questions please email: <your.email>@hpe.com

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