Course Details

Informatica Data Quality Overview

Informatica data quality has a service-oriented architecture that provides the ability to scale services and to share resources across multiple machines. The Informatica domain is the primary unit for management and administration of services. Its components are : Application clients, Application services, Service Manager.

CourseInformatica Data Quality Training
Mode of Training Instructor Led Live Online Training
Duration 30 hours
Timings Flexible (Our Rep will work with you on the timings that suits your needs)
Course Material Our Expert Trainer will share you all the necessary course material, ppts, videos and pdfs
Examples Trainer will cover Real time scenarios during the training
Interview Questions Click here to see the Informatica data quality Interview Questions and Answers.
Certification Click here to know about the Informatica Data Quality Training Certification
Salary Trends Check here to see the salary trends here.

Informatica training is designed to help you become an Informatica Developer & Informatica Administrator.

  • Describe the Informatica PowerCenter architecture
  • Explain Data Integration concepts
  • Explain different Transformations & their usage
  • Describe Reusability & Scheduling in Workflow Manager
  • Understand the use of advanced transformations
  • Design error handling strategies appropriate for the intended purpose of a workflow
  • Describe the effect of mapping design on performance
  • Monitoring the PowerCenter Environment
  • Understand design principles and best practices
  • Explain repository manager tool
  • Illustrate how to create users and groups
  • Describe the application services related to PowerCenter and their related processes
  • Configure the Informatica Administrator tool
  • Implement techniques for loading Dimensional Tables
  • Recognize & repair Connection Errors & Network errors
  • Configure Workflow & sessions for recovery
  • Understand the Performance Tuning Methodology
  • Learn PowerCenter Repository Maintenance and explain the integration and repository service properties
  • Illustrate how to create users and groups
  • Explain command line of Informatica PowerCenter

The following can attend this Training. Students/Freshers who is having enthusiasm in learning Informatica data quality can attend this Training.

  • Both Informatica Developers and Administrators can learn this course.
  • IT professionals who have background in working experience with other data cleansing tools can also avail this course.
  • Informatica IDQ is being adopted by hundreds of companies every year and the job market is also growing in next five years.
  • It is the best time to learn this course and excel in your career.

The following are the Pre-requisites for this Training:

  • Data Quality 9.x: Developer, Level 1 (IVA, ILT, onDemand or Blended)
  • Data Quality 9.x: Analyst (ILT or onDemand)
  • PowerCenter 9.x: Administration (IVA, ILT or onDemand)

Self Paced Learning moves at a pace set by the learner and is cost effective. It boosts the retention of information simultaneously to a large number of people. Self paced training is for the people who want to go fast track and want to finish the course in a minimal time. These Informatica data quality Training videos are carefully developed in such a way that even a fresher can easily understand and learn the product at his/her own pace.

On the other hand, Live Online Training takes place at a scheduled event or time where an Instructor plays an important role throughout the learning process.

Classes are conducted by Certified Informatica data quality Working Professionals with 100 % Quality Assurance.

With an experienced Certified practitioner who will teach you the essentials you need to know to kick-start your career on informatica data quality. Our training make you more productive with your informatica data quality Training Online. Our training style is entirely hands-on. We will provide access to our desktop screen and will be actively conducting hands-on labs with real-time projects.

Informatica data quality Training course is developed by the team of idq experts having 10 years of experience in IT and 5 years in teaching informatica data quality.

What we promise at TekSlate:

1) We offer flexible timings unlike most other mediums of training, students can pick their own schedule according to their availability.

2) We offer Informatica data quality Training free demo session, students can attend the demo session, asses the trainer and then join the course.

3) We offer the best Informatica data quality Training Material and also share project scenarios which are similar to what you work when you go to the corporate environment.

4) We share Informatica data quality tutorials for beginners of each training session so that you can review them later as well. The tutorials developed by experts make it more easier for the learning professionals.

IDQ 9.x Online Training Curriculum

Learning Objects: In this module we will learn How to work on GUI, Mappings Mapplets, Transformations Content Sets, Data Objects

Topics Include: GUI, Mappings Mapplets, Transformations Content Sets, Data Objects

Practicals Covered: Hands on GUI, Mappings Mapplets, Transformations Content Sets, Data Objects

Learning Objects: In this session we will learn about, Overview of the Analyst Collaboration, Reviewing information from the Analyst, Comments/Tags, Creating/adding to Reference tables.

Topics Include: Analyst Collaboration, Reviewing information from the Analyst, Comments/Tags, Creating/adding to Reference tables.

Practicals Covered: In  this Practical class, students will gain knowledge in Working on Analyst Collaboration, Reviewing information from the Analyst, Comments/Tags, Creating/adding to Reference tables.

Learning Objects: In this module we will learn Introduction to profiling analysis, Column Profiling, Multi Object Profiling,  Mappings and Transformations, Mid stream profiling, Comparative Profiling.

Topics Include: Join Analysis profiling, Column Profiling, Multi Object Profiling,  Mappings and Transformations, Mid stream profiling, Comparative Profiling.

Practicals Covered: Hands on Column Profiling, Multi Object Profiling,  Mappings and Transformations, Mid stream profiling, Comparative Profiling.

Learning Objects: In this session we will Learn how to Cleanse transform and parse data, Develop data standardization mapplets and mappings during Informatica Data Quality training.

Topics Include: Cleanse transform and parse data, Develop data standardization mapplets and mappings during Informatica Data Quality training.

Practicals Covered: Hands on data parsing & cleanse, work on mappings & develop data standardization mapplets.

Learning Objects: In this module we will learn how to create Reusable AV Transformation & work on AV Transformation Properties. Learn about Inputs and Outputs Reusable AV Mapplet.

Topics Include: Reusable AV Transformation, AV Transformation Properties, AV Inputs and Outputs Reusable AV Mapplet.

Practicals Covered: Hands on Reusable AV Transformation, AV Transformation Properties, AV Inputs and Outputs Reusable AV Mapplet.

Learning Objects: In this session we will Learn how to report data and match cluster analysis report with maps.

Topics Include: Grouping data Analyze Detail Report, DQ Matching Cluster Analysis Report, Matching Mapplets

Practicals Covered: Hands on different reports for detailed analysis of data, DQ Cluster analysis, Mapplets.

Learning Objects: In this module we will Learn how to build matching mapplets & Identity Populations and Strategies.

Topics Include: Build Matching mappings using Identity, Matching Identity Populations and Strategies

Practicals Covered: Hands on building matching mappings using Identity & Matching Identity Populations and Strategies.

Learning Objects: This section specifies about how to build mappings and create & populate DQA tables, how to Perform manual Consolidation and Bad Record Management.

Topics Include: Build Mappings to create and populate the DQA tables, Perform manual Consolidation and Bad Record Management.

Practicals Covered: Hands on building mappings and populate DQA tables, learn to perform manual Consolidation and Bad Record Management.

Learning Objects: In this module we will Learn how to Import/Export object concept in informatica.

Topics Include: Object Import/Export concept in informatica data quality, Import Projects using both Basic and Advanced methods, Export Projects.

Practicals Covered: Hands on exporting and importing of projects using basic and advance methods.

Learning Objects: In this session we will Learn how to run data quality mappings on Excel spread sheets.

Topics Include: Run Data Quality Mappings on Excel Spread sheets.

Practicals Covered: In this Practical class students will gain knowledge in Working with excel spread sheets to run data quality mappings.


Tekslate basically offers the online instructor-led training. Apart from that we also provide corporate training for enterprises. All our trainers come with over 12 years of industry experience in relevant technologies and also they are subject matter experts working as consultants.

Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics of Secondary index Informatica data quality training. Tekslate also verifies their technical background and expertise.

We record each LIVE class session you undergo through and we will share the recordings of each session/class.

If you have any queries you can contact our 24/7 dedicated support to raise a ticket. We provide you email support and solution to your queries. If the query is not resolved by email we can arrange for a one-on-one session with our trainers. The best part is that you can contact Tekslate even after completion of training to get support and assistance. There is also no limit on the number of queries you can raise when it comes to doubt clearance and query resolution.

You will work on real world flume Informatica data quality tool wherein you can apply your knowledge and skills that you acquired through our training. We have multiple projects that thoroughly test your skills and knowledge of various aspect and components making you perfectly industry-ready. These projects could be in exciting and challenging fields like banking, insurance, retail, social networking, ecommerce, marketing, sales, high technology and so on.

Our Trainers will provide the Environment/Server Access to the students and we ensure practical real-time experience and Informatica data quality tutorial pdf by providing all the utilities required for the in-depth understanding of the course.

If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.

The Informatica data quality online training itself is Real-time Project Oriented.

Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.

There are some Group discounts available on the Informatica data quality certification Cost if the participants are more than 2.

As we are one of the leading providers of Online training, We have customers from:

Online Informatica data quality Training in USA:

  • New York, Los Angeles, Chicago, Houston, Phoenix, Philadelphia, San Antonio, San Diego, Dallas, San Jose, Austin, Jacksonville, San Francisco, Columbus, Indianapolis, Fort Worth, Charlotte, Seattle, Denver, El Paso, Washington, Boston, Detroit, Nashville, Memphis, Portland, Oklahoma City, Las Vegas, Louisville, Baltimore, Milwaukee, Albuquerque, Tucson, Fresno, Sacramento, Mesa, Kansas City, Atlanta, Long Beach, Colorado Springs, Raleigh, Miami, Virginia Beach, Omaha, Oakland, Minneapolis, Tulsa, Arlington, New Orleans, Wichita, Cleveland, Tampa, Bakersfield, Aurora, Honolulu, Anaheim, Santa Ana, Corpus Christi, Riverside, Lexington, St. Louis, Stockton, Pittsburgh, Saint Paul, Cincinnati, Anchorage, Henderson, Greensboro, Plano, Newark, Lincoln, Toledo, Orlando, Chula Vista, Irvine, Fort Wayne, Jersey City, Durham, St. Petersburg, Laredo, Buffalo, Madison, Lubbock, Chandler, Scottsdale, Glendale, Reno, Norfolk, Winston–Salem, North Las Vegas, Irving, Chesapeake, Gilbert, Hialeah, Garland, Fremont, Baton Rouge, Richmond, Boise, San Bernardino.

Popular cities of Canada, like:

  • Toronto, Montreal, Vancouver, Edmonton, Hamilton, Ottawa, Calgary, Ontario, Qubec etc

Online Informatica data quality Training in India:

  • Hyderabad, Bangalore, pune,  Delhi, Mumbai.

Along with it, we also prevail our valuable online training in the places of UK, Australia, India and other parts of the world

The Informatica Data Quality 9.x software suite is at the leading edge of data quality management systems. It handles data from many industries, including product data, financial data, inventory data, and customer data. Its powerful analysis tools that let you evaluate your data according to key quality criteria and to report results clearly and graphically to business stakeholders and regulatory compliance officials. With Data Quality Workbench, you can write your own business rules with no knowledge of low-level coding. You can use Workbench to run data quality plans, to configure them for batch or scheduled execution, and to deploy them to third-party applications for real-time execution. Informatica also provides a Data Quality Integration plug-in for PowerCenter. This plug-in enables PowerCenter users to add data quality plan instructions to a PowerCenter transformation and to run the plan to the Data Quality engine from a PowerCenter session.

Informatica Data Quality 9.x is a suite of applications and components that you can integrate with Informatica PowerCenter to deliver enterprise-strength data quality capability in a wide range of scenarios. The core Informatica Data Quality 9.x applications are Workbench, Server, and the Data Quality Integration. Both Workbench and Server install with a Data Quality engine and a Data Quality repository. Users cannot create or edit plans with Server, although users can run a plan to any Data Quality engine independently of Workbench by runtime commands or from PowerCenter.  Data analysis and Data enhancement — are the backbone of the data quality management process implemented through.

What is the use of Informatica data quality?

Informatica data quality is based on proven data integration connectivity enabling easy access and cleansing of any data in any source – within the enterprise, in partners’ systems, in the cloud, or in Hadoop—in any latency or mode (e.g., federated SQL, Web services, messaging, event-based alerts, and ETL).

What is idq?

Informatica Data Quality allows business users to rapidly develop business rules without relying on IT. Our integrated platform also allows you to easily manage exceptions for prompt remediation, and incorporate human tasks into your existing workflow.

What is data Clensing in informatica?

Data Cleansing is also known as data scrubbing. It is the process of removing data from database that is incorrect, incomplete or improperly formatted. Using a data scrubbing tool can save a database administrator a significant amount of time and can be less costly than fixing errors manually.

What is informatica Application?

Informatica Application information Lifecycle Management – Cost-Effectively Manage Every Phase of the Information Lifecycle. About Informatica. Informatica Corporation (Nasdaq:INFA) is the world’s number one independent provider of data integration software.

What is informatica ETL tool?

Informatica etl tool is market leader in data integration and data quality services. Informatica is successful ETL and EAI tool with significant industry coverage. ETL refers to extract, transform, load. Data integration tools are different from other software platforms and languages.

What is meant by Data Profiling?

Data profiling is the process of examining the data available from an existing information source (e.g. a database or a file) and collecting statistics or informative summaries about that data. The purpose of these statistics may be to: Find out whether existing data can be easily used for other purposes.

Informatica Data Quality Certification

On completion of the following training, you will be eligible to receive the certificate that will testify your acquisition of a Informatica Data Quality developer’s skill set. We do guide our participants for respective Certifications which is an added advantage to the current market.

The certification exams measures competency as a member of a project implementation team. The credentials enable assurance that an Information Qualified Certified Professional with below certifications has met the eligibility criteria in the fields of education, training, and the required knowledge and skills for competence.

Developer, Specialist Certification
IQ International certification

By opting for our well-structured training at Tekslate, candidates can gain knowledge to enter the lucrative domain of IDQ and earn the certification.

For more information regarding various types of certification available, please go through the IDQ Certification.

Get certified by attending the exam. For more details click here….

Course Reviews


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