Informatica Data Quality IDQ Online training

Informatica Data quality allows business users rapidly devlop business rules without relying on IT.It allows you to easily manage Exceptions for prompt remediations, and incorporate human tasks into your existing workflow.Data quality rules based on how similar data has been managed.It automatically detect data similarity.Which is the first step towards detecting and removing duplicate data.The role based self service interfaces enable collaboration between business stakeholders to optimize your entire data quality process.

Informatica data quality IDQ Online Training Course Objective

On completion of training course trainee will be able to:

Navigate the Developer Tool and collaborate on projects with Analysts using the Analyst Tool
Perform Column, Rule, Join, Multi object and Mid-Stream Profiling
Manage reference tables in the Analyst Tool
Design and develop Mapplets
Create standardization, cleansing and parsing routines
Validate addresses
Identify duplicate records
Build mappings used to associate and consolidate matched records
Introduction to Informatica Data Quality

Data Quality Management
Working with Informatica Developer latest version
GUI
Mappings
Mapplets
Transformations
Content Sets
Data Objects
Analyst Collaboration

Reviewing information from the Analyst
Comments/Tags
Creating/adding to Reference tables
Developer Profiling

Join Analysis Profiling
Column Profiling
Multi Object Profiling
Mappings and Transformation

Mid-stream profiling
Comparative profiling
Data Standardization

Cleanse, transform and parse data
Develop data standardization Mapplets and mappings
Address Validation

Reusable AV Transformation
AV Transformation Properties
AV Inputs and Outputs
Reusable AV Mapplets
Matching
Grouping data
Analyze Detail Report
DQ Matching

Cluster Analysis Report
Matching Mapplets
Labelling and parsing the Data

Different use cases
Consolidation
Associate and Consolidate data
Data Quality Assistant
Build Mappings to create and populate the DQA tables
Perform manual Consolidation and Bad Record Management
PowerCenter Integration

Run DQ Mappings in PowerCenter
Object Import/Export
Import Projects using both Basic and Advanced methods
Export Projects
Parameters
How to use Parameters in Data Quality mappings, transformations and reference tables?
Content

What content is available with IDQ latest version?
Content Management Service
Accelerators
Core Accelerator
Project

Use all that has been covered and apply it to Product Data
Topics covered include

Profiling
Scorecard
Template preparation
Standardization and Address Validation
Matching and Consolidation Techniques
Delivery Methodology

We are using an experiential delivering methodology that blends theoretical concepts with hands-on practical learning to ensure a holistic understanding of the subject or course
Class Delivery

Live Interactive classes with expert