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Page 1: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross
Page 2: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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Informatica Data Quality Upgrade

Marlene Simon, Practice Manager

IPS Data Quality Vertical

Informatica

Page 3: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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Biography

Marlene Simon

• Practice Manager IPS Data Quality Vertical

• Based in Colorado

• 5+ years with Informatica Professional Services

• 20+ years experience in delivering and managing

data quality projects

Page 4: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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Agenda

• Informatica Data Explorer (IDE)

• Data Quality v9.1 Functionality

• IDE Migration/Upgrade

• Informatica Data Quality (IDQ)

• Overview of version differences

• IDQ Migration/Upgrade

• Questions

Page 5: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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Informatica Data Explorer

Page 6: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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Data Quality v9.1 Functionality

IDQ 9.1 IDE 9.1

Structural Profiling - Table Profiling

- Primary Key Inference

- Functional

Dependency - Cross Table Profiling

- Foreign Key Inference

- Overlap Discovery - Profile Model

NOT entitled to DQ

Transformations

- DQ Transformations

NOT entitled to

Structural Profiling

features

Common to

BOTH IDQ & IDE

Informatica DQ Analyst

- 5 named users (additional

users available on tiered

pricing model by seat)

Informatica Analyst Viewer

- Unlimited (‘read only’

Analyst user)

Informatica Developer

- Unlimited

- Entitled to core transforms

Server

-CPU Cores

Base Profiling

Features - Column Profiling - Rule Profiling

- Scorecarding

- RTM - Midstream

- Comparative

Profiling - Mapping generation

from Profile

- Join Validation

Feature Supported By: • Both Analyst and Developer

• Analyst Only

• Developer Only

Note: Effective in 9.1.0, Informatica Data Explorer Standard Edition is referred to as

Informatica Data Explorer Legacy and Informatica Data Explorer Advanced Edition is

renamed to Informatica Data Explorer.

Page 7: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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IDE Migration/Upgrade Overview

• Supported versions

• Informatica Data Explorer Legacy 8.6.x – 9.1

• Informatica Data Explorer 9.1

• You can transfer the following objects to the

Informatica Data Explorer platform as part of the

migration:

• Database connections

• Data sources

• Column profiling

• Schemas

• Projects

Page 8: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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IDE Migration/Upgrade Overview

• IDE Migration Object Conversion

Informatica Data Explorer

Legacy Informatica Data Explorer

Data Source Connections Data Source Connections

Tables Data Objects

Rules Expression Rules

Action Items Comments

Notes Comments

Schemas Folders

Projects Projects

Page 9: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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IDE Migration path to current release

IDE 9.1 IDE 9.5

IDE3.0

Informatica V9 – Mercury Platform

Upgrade to 9.5

Legacy

IDE 8.5 – 8.6.2

Legacy

IDE 9.0

Legacy

IDE 9.1

Migration Utility

Install IDE Legacy Migration

Server

Run migration utility to

upgrade to IDE 9.1

Migration Server is part of

IDE Legacy 9.1 Installation

run utility to upgrade

Page 10: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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Migration Reference Documents

• Documentation is available on the Informatica

website

• 0281_MigratingObjectsFromIDELegacyToIDE.pdf

• Outlines the migration process from Informatica Data Explorer Legacy (V8.6.2) to Informatica Data Explorer (V9.1)

Page 11: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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Informatica Data Quality

Page 12: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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IDQ Overview – Version Differences

• Different Architecture

• Differences between 8.6.2 Components and V9

transformations

• Change in terminology between Versions

Page 13: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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IDQ 8.6.2 Architecture

• 8.6.2 Common Configuration

• One repository per user

• Reference data on local file system

• Data quality metadata contained in IDQ plan

• Connection details embedded within IDQ plan

IDQ Client

with local

repository

IDQ Server

and shared

repository

Page 14: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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Informatica 9 Architecture

• 9.1 Common Configuration

• Central repository shared by all users

• Analyst and Developer Tool

• Reference data in Reference Table Manager

• Data Quality metadata in 9.0.1 models

• Connection details stored and managed centrally

MRS

Informatica Server Environment

Data Quality Server

Informatica

Repository

Address Doctor 5

File System

Address Doctor 5

Reference Data

Informatica

Analyst

Informatica

Developer

Page 15: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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8.6.2 Component vs. V9 Transformation

Direct

Object

Conversion

8.6.2 Component converts to V9 Transformation

• Source, Target or component convert directly to 9.0.1 transformation

• Merge Merge :: To Upper Case

Multiple

Objects

in 9.0.1

8.6.2 Component converts to multiple V9 Transformations

Supported

Enhanced

Functionality

V9 Transformation provides Enhanced functionality

Not Supported

8.6.2 Component does not Migrate to V9

• Source, Target or component convert to multiple transform or mapplet

• Context Parser = Labeller + Parser (set to pattern base)

• Provide equivalent functionality however have evolved from 8.6.2

• Jaro, Bigram, Edit and Hamming distance convert to Comparison

• Component not supported in 9.0.1 repository

• Scripting component :: will convert to expression

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Example Migration Exclusions

• Report Targets (flat file and relational)

• Scorecards now part of Analyst tool and based on profiling results (of columns or rules)

• Scripting (TCL)

• Version 9.0.1 uses Java for scripting requirements

• TCL script can also be in the RBA – will be converted to a decision transformation

• Mixed Field Matcher

• Component no longer supported

NOTE: Full set of component to transformation conversions

provided in Appendix A of this presentation

Page 17: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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Changes in terminology

IDQ 8.6.2 IDQ 9

Plan Mapping

Component Transform /

Transformation

Dictionary Reference Table

Page 18: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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IDQ Migration/Upgrade

• Migration/Upgrade Path

• Migration/Upgrade Considerations

• Migration Pre-requisites

• Migration Process

• Post Migration Tasks

• Upgrade Process

• Post Upgrade Tasks

Page 19: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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Migration/Upgrade Path

IDQ 3.0 IDQ 3.1 IDQ 8.5

IDQ 8.6.x

prior to

8.6.2 IDQ 8.6.2 IDQ 9.0.1 IDQ 9.1 IDQ 9.5

IDQ 3.0

IDQ 3.1

IDQ 8.5

IDQ 8.6.x

prior to

8.6.2

IDQ 8.6.2

Informatica V9 – Mercury Platform

Upgrade

3.0 to 3.1 Upgrade 3.1 to 8.6.2

Upgrade 3.1 to 8.6.2

Upgrade 8.5 to 8.6.2

Upgrade to

8.6.2

Migration Utility

-- Only works

between 8.6.2 and

9.0.1 versions

Export plans and

dictionaries from

8.6.2

Migrate to 9.0.1

Validate mappings

and mapplets

Upgrade to 9.1 or 9.5

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Migration/Upgrade Considerations

• Identify Level of effort for Migration/Upgrade

• Stand Alone Data Quality Migration

• IDQ Server Only (shared repository)

• IDQ Clients (local repositories)

• Data Quality Batch scripts

• PowerCenter Integration

• Verify all integrated DQ objects exist in the IDQ repository for migration/upgrade

• How many PC mappings require upgrade/modification

• Contain GAV component

• Contain deprecated components

Page 21: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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Migration/Upgrade Considerations

• Review plans and dictionaries slated for

migration. Remove or delete those that do not

need to be migrated

• Identify any duplicate plans and determine which

need be migrated

• Review batch scripts and remove or delete any

which are obsolete

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Migration/Upgrade Considerations

• Migrate plans or re-develop mappings

• Less than 4 plans and low to medium complexity

• Recommended to redevelop in IDQ Developer tool than perform migration and upgrade

• Ensure you plan adequate time for testing and QA

• More than 4 plans or extremely complex plans

• Typically more efficient to perform migration/upgrade

• Ensure you plan adequate time for testing and QA

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Migration/Upgrade Considerations

• IDQ/PC Integration and IDQ repository no longer

exists

• If the integrated DQ plans do not contain any GAV or deprecated components – run the CRS utility in the PowerCenter environment, the 8.6.2 plans continue running in the 9.x PowerCenter mappings

• If the integrated plans contain GAV or deprecated components

• You CAN NOT export IDQ 8.6.2 plans from PowerCenter to IDQ Workbench or Developer tools – you will have recreate the DQ mappings in the Developer tool and export to PowerCenter

Page 24: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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Migration/Upgrade Considerations

IDQ 8.6.2 Local

repositories

IDQ 8.6.2 Server

repository

Migration

ClientPackage

MRS

Informatica 9.0.1

Domain

ServerPackage

XML Import

MRS

Informatica

9.1 or 9.5

Domain

Stand Alone Data Quality Migration/Upgrade

Upgrade

Page 25: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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Migration/Upgrade Considerations

Data Quality Migration/Upgrade with PowerCenter Integration

Single Informatica 9.1 or 9.5 Domain

MRS

Informatica

9.1 or 9.5

Domain

PowerCenter

Repository

* Requires separate

9.0.1 domain for

upgrade or VMware

Run CRS utility -allows 8.6.2 DQ

plans to run in 9.x

environment

Export DQ

mappings requiring upgrade

AV transformation

deprecated

components Upgrade

MRS

Informatica

9.1 or 9.5

Domain Export upgraded MRS and Content

IDQ 8.6.2 local

repositories

IDQ 8.6.2 Server

repository

Migration

ClientPackage

MRS

Informatica

9.0.1 Domain

ServerPackage

XML Import

Page 26: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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Migration/Upgrade Considerations

MRS

Informatica DQ

9.1 or 9.5

Domain

Data Quality Migration/Upgrade with PowerCenter Integration

Separate DQ 9.x Domain and PowerCenter 9.x Domain

Run CRS utility -allows 8.6.2 DQ

plans to run in 9.x

environment

Export DQ mappings requiring upgrade

AV transformation

deprecated components

Informatica

9.1 or 9.5

Domain

PowerCenter

Repository

IDQ 8.6.2 local

repositories

IDQ 8.6.2 Server

repository

Migration

ClientPackage

MRS

Informatica

9.0.1 Domain

ServerPackage

XML Import

Page 27: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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Migration/Upgrade Considerations

• Create Migration/Upgrade project plan

• In order to manage the IDQ migration/upgrade project it is crucial to identify and understand all task which will be executed in order to complete the project.

• Clearly define and list all steps required for the multi-step migration and multi-version upgrade of IDQ.

• Allocate adequate time for IDQ re-development and testing after upgrade.

• Allocate adequate time for PowerCenter/DQ integration testing

• Include V9 product training as part of the plan

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Migration Pre-requisites

• Informatica 9.0.1 needs to be properly installed,

configured, and running before starting the migration

process

• IDQ is at version 8.6.2. Earlier versions cannot be

directly migrated to Informatica 9.0.1

• Ensure Java version is current

• Gather all required login and connection information

• Review the migration steps and create a project plan

• Download and extract IDQMigration.zip

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3 Step Migration Process

Client Package

IDQ 8.6.2 Client

• Export IDQ plans from IDQ repository

• Identify connection details

• Gather local directories

• Package data for next step

Server Import

9.0.1 Server

9.01 Client

XML Import

• Unpack data from Client Package

• Create connections

• Import dictionary data into Reference Table Manager

• Convert plans to 9.0.1 XML

• Import XML from Server Import into 9.0.1 Repository

Page 30: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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Client Package

• Executing the ClientPackage will create the

Package and Stage folders along with the

corresponding logs

Page 31: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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ClientPackage - Report • <MigrationPackageLocation>/Package/PackageReport.html

Identify Dictionaries used by plans and dictionaries

that exist but are not used by any plan

Database Connections used by plans. One entry for

every DSN/Username/Password combination

Page 32: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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ServerImport

• Pre-requisites (perform in 9.0.1 Developer Tool)

• Create new blank project for mappings to be imported to

• Create new folder for imported reference tables

• Install Informatica Content packages in shared project

• Server Import

• Unpacks data from ClientPackage (MigrationPackage.zip)

• Creates connections

• Import dictionary data into Reference Table Manager

• Converts 8.6.2 Plans to 9.0.1 Mapping XML

Page 33: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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ServerImport – Summary/Overview Report

• Overall status of conversion

• Links to detail / individual reports

• Default location

• <MigrationPackageLocation>/migration_reports

Page 34: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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ServerImport – Detail Reports

• One Detail report per 8.6.2 plan/9.0.1 mapping

• Component / Port level detail

• Includes warnings / errors

• Default location

• <MigrationPackageLocation>/migration_reports

Page 35: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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Client XML Import

• Using Developer tool, import the

MigratedMappings.xml file produced during the

ServerImport process.

Page 36: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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Post Migration Tasks

• Validate all DQ mappings

• Make any required changes to get mappings to

validate – do not start re-development effort at

this time

Page 37: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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Upgrade Process

• Stand Alone Data Quality

• Upgrade 9.0.1 repository to most current version of Informatica – 9.1 or 9.5

• PowerCenter and Data Quality Integration

• Single Domain for PowerCenter and Data Quality

• Upgrade 9.0.1repository to current domain version

• Separate Domain for PowerCenter and Data Quality

• Upgrade 9.0.1 repository to most current version of Informatica

• Run CRS Utility to enable 8.6.2 plans to continue running in PowerCenter 9.1 or 9.5 environments

• If new PowerCenter install and repo upgrade, the 8.6 DQ binaries need to be accessible to new environment (either moved or referenced)

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Post Upgrade Tasks

• Re-develop DQ mappings with deprecated

components

• During migration deprecated components convert to expression, modify mappings to convert to appropriate logic

• Address Validation – some 8.6.2 output fields are not available in the 9.x releases. Status codes in 9.x are different from 8.6.2 codes.

• Validate output for all mappings in Developer

tool to ensure desired results are achieved

Page 39: Informatica Data Quality Upgrade · PDF file6 Data Quality v9.1 Functionality IDQ 9.1 IDE 9.1 Structural Profiling -Table Profiling -Primary Key Inference -Functional Dependency -Cross

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Post Upgrade Tasks

• Export modified DQ mappings to PowerCenter

• Only mappings which contain deprecated components or Address Validation transformation must be re-exported

• Verify PowerCenter mappings which utilize Address Validation match status codes are producing desired results

• Perform any necessary code changes to PowerCenter mappings utilizing updated DQ mappings

• QA results from PowerCenter mappings to ensure desired output is being achieved with updated DQ logic

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IDQ Migration Reference Documents

• Documentation is available on the Informatica

website

• IN_901_DQ_Repository_Migration_Guide_en

• Installation and configuration documentation for current version is also available at http://communities.informatica.com – product documentation

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Informatica Velocity Methodology

Velocity is the blueprint for delivering efficient and successful Informatica solutions that solve business problems.

New Website • New search capability • Filtering/viewing content by

• project type

• project phase • or other tags

• New accelerator tools

• Hot links between the articles

Access at: mysupport.informatica.com

Visit the Informatica Pavilion at the Technology and Solutions Fair for more details. Check out

more than 100

new articles!

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Questions?

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Appendix A Component to Transformation Conversion

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Component to Transformation conversion 8.6.2 Component 9.0.1 Component

Aggregation Aggregator transformation

Association [for PowerCenter] Association transformation

Bigram Comparison transformation

Character Labeler Labeler transformations

Consolidation [for PowerCenter] Consolidation transformation

Context Parser Labeler and Parser transformations. The Parser is set to pattern-based

parsing mode.

Count Mapplet containing Aggregator, Union, Expression, Joiner, Sorter, and

Filter transformations

CSV Dual Match Source Two file-based data sources and a Match transformation

CSV Identity Group Source File-based data source and Match transformation. May convert to a

mapplet.

CSV Match Sink File-based data target

CSV Match Source File-based data target and Match transformation

CSV Merge Sink File-based data target

CSV Sink File-based data target

CSV Source File-based data source

DB Identity Group Source Relational data source and Match transformation. May convert to a

mapplet.

DB Match Source Relational data source and Match transformation

DB Report Sink File-based data target

DB Sink SQL transformation and relational data target

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Component to Transformation conversion

8.6.2 Component 9.0.1 Component

DB Source Relational data source

Dual Group Source Multiple file-based data sources and Union transformation if required. May

convert to a mapplet

Edit Distance Comparison transformation

Fixed Width Sink File-based data target

Fixed Width Source File-based data source

Global AV [Address Doctor engine] Address Validator transformation. This transformation needs additional

configuration following import to the 9.0.1 Model repository.

Global AV [Melissa Data engine] Address Validator transformation. This transformation needs additional

configuration following import to the 9.0.1 Model repository.

Global AV [QAS engine] Address Validator transformation. This transformation needs additional

configuration following import to the 9.0.1 Model repository.

Global AV [SDK] Not supported

Group Sink Flat-file data target and Sorter and Expression transformations

Group Source Multiple file-based data sources and Union transformation if required. May

convert to a mapplet.

Hamming Distance Comparison transformation

Identity Group Target Mapplet output transformation

Identity Match Match transformation

Jaro Distance Comparison transformation

Match Key Sink Relational data target

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Component to Transformation conversion

8.6.2 Component 9.0.1 Component

Merge Merge transformation

MinAvgMax Mapplet containing Aggregator, Union, Expression, Joiner, and Router

transformations

Missing Values Mapplet containing Aggregator, Expression, Joiner transformations

Mixed Field Matcher Not supported

Normalization [SDK] Not supported

NYSIIS Key Generator transformation

Parsing [SDK] Not supported

Profile Standardizer Parser transformation. The Parser is set to pattern-based parsing mode.

Range Counter Linear Range: Aggregator, Expression, Joiner, and Sorter transformations

Variable Range: Aggregator, Expression, Union transformations

Realtime Sink Mapplet containing data target

Realtime Source Mapplet containing data source

Report Sink Flat-file data target

Rule Based Analyzer Decision transformation

SAP Sink Not supported

SAP Source Not supported

Scripting Not supported

Search Replace Standardizer transformation

Similarity [SDK] Not supported

Soundex Key Generator transformation

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Component to Transformation conversion

8.6.2 Component 9.0.1 Component

Splitter Labeler, Parser, and Expression transformations. The Parser is set to pattern-

based parsing mode.

Sum Mapplet containing Aggregator, Expression, Joiner, Sorter, and Union

transformations

To Upper Case Converter transformation

Token Labeler Labeler transformation

Token Parser Parser transformation

Weight Based Analyzer Weighted Average transformation

Word Manager Standardizer transformation