Informatica Data Quality v9.x Online Training

No Reviews Yet

Course type: Online Instructor led Course

Platform: GoToMeeting

Course ID: 28462

Course type: Online Instructor led Course

Platform: GoToMeeting

Raj picture
Raj
No Reviews Yet

Date and Time

Not decided yet.

Raj picture
Raj

Informatica & Oracle Certified Professional

About Raj

Expert in ETL, Data Integration, Data Quality & Metadata Management
No reviews currently

About the Course

::Introduction::
Developed by Informatica Corporation, Informatica Data Quality is a unique kind of Data Quality Management System featuring a suite of applications and components that can integrate well with Informatica PowerCenter. The objective of this platform is to deliver enterprise-strength Data Quality ability across a large number of scenarios. One of the principal advantages of this system is the possibility to solve quality problems in a way achieving real as well as sustainable data quality enhancements. A quality training in Informatica Data Quality can enable candidates proactively monitor and cleanse the data and assist the business in Data Quality and Governance.

Duration:: 25 Hours

::Exclusives::
* Fully licensed software (Installation & Configuration)
* Lifelong subscription to our Google group "ETL Central"
* Assistance in Resume Building
* Job Oriented Training
* Deployment of DQ mappings into PowerCenter and their business use cases

::Session Timings::
** Weekday Batches: (Mon - Sat)
Any one hour in the below mentioned timings as per the slot availability
Morning Hours: 05:00 AM - 10:00 AM IST
Evening Hours: 10:30 PM - 11:30 PM IST

** Weekend Batches: (Sat & Sun)
Two sessions (each 2 hours) per day both on Sat & Sun

***Course Fee***
* With Licensed Software: Rs.15000/-
* Without Licensed Software: Rs.12000/-

Topics Covered

An Overview of Informatica Developer 9
Overview of Data Quality and Informatica Developer covering areas such as the GUI, Mappings, Mapplets, Transformations, Content Sets, Data Objects and Tips for working with Developer.

**Analyst Collaboration
- Review Information from the Analyst
- Profiles/Comments/Tags
- Create/Add to Reference Tables
- Shared projects and team collaboration means no loss of information or duplication of work across projects

**Developer Profiling
- Perform Join Analysis Profiling
- Perform Column Profiling
- Multi Object Profiling
- Build and execute a Mapping using core transformations
- Configure Transformation Properties

**Data Standardization
- Develop data standardization mapplets and mappings
- Cleanse, transform and parse data
- Data Quality cleansing and parsing transformations

**Address Validation
- Configuring a Reusable AV Transformation
- AV Transformation Properties
- AV Inputs and Outputs
- Define a Reusable AV Mapplet
- Build and address validation mapping to incorporate your mapplet Matching
- Grouping Data
- Key Generator Transformation
- Key Gen Methods and Properties
- Analyze Detail Report
- DQ Matching
- Perform matching using the Match Transformation
- Match Properties
- Matching Algorithms
- Cluster Analysis Report
- Create and update matching Mapplets
- Additional Matching Transformations

**Identity Matching
- Build matching mappings using Identity Matching
- Identity Populations and Strategies

**Automatic Consolidation
- Automatically associate and consolidate your match data using a variety of association and consolidation 
- Transformations and techniques

**Manual Consolidation Using the Data Quality Assistant
- Build mappings to create and populate the DQA tables using the new Exception Transformation
- Perform Manual consolidation and bad record management using the DQA

**PowerCenter Integration
- Execute Data Quality mappings/mapplets in PowerCenter

**Object Import/Export
- Learn how to export and import projects using both basic and advanced methods

**DQ for Excel
- Run Data Quality mappings on Excel spreadsheets

**Parameters
-How to use parameters in Data Quality mappings, transformations and reference tables

**Content
- Content availability with IDQ9
- Content Management Service
- How to configure AV information
- Accelerators
- Core Accelerator

Who should attend

Wanna be DQ Developers/Analysts and any DQ Enthusiasts.

Pre-requisites

* Fundamentals of ETL knowledge is recommended to have
* Good internet connectivity (min 512kbps)

What you need to bring

Regular practice of topics covered is what expected at the least for every next class"

Key Takeaways

* Understanding the concepts of Data Quality
* Troubleshooting errors/failures
* Gain hands-on experience with multiple exercises and various real time scenarios
* Build confidence to excel your career as an efficient Informatica DataQuality Developer/Analyst

Reviews

No reviews currently

Discussions

Post your requirement and let us connect you with best possible matches for Informatica Training Post your requirement now

UrbanPro.com is India's largest network of most trusted tutors and institutes. Over 25 lakh students rely on UrbanPro.com, to fulfill their learning requirements across 1,000+ categories. Using UrbanPro.com, parents, and students can compare multiple Tutors and Institutes and choose the one that best suits their requirements. More than 6.5 lakh verified Tutors and Institutes are helping millions of students every day and growing their tutoring business on UrbanPro.com. Whether you are looking for a tutor to learn mathematics, a German language trainer to brush up your German language skills or an institute to upgrade your IT skills, we have got the best selection of Tutors and Training Institutes for you. Read more