Informatica Data Quality

Course Description

Training in Informatica Data Quality (IDQ) will deliver you with the practical experience necessary to create and maintain data of a high standard inside an organization.

Through Informatica IDQ training, you will learn the fundamentals of data quality as well as how to apply this knowledge to improve the data accuracy and completeness of the products produced by your company.

You will be able to learn the data access and manipulation methods that are utilized within the Informatica Data Quality suite by participating in this session.

Through Informatica IDQ course, students can rapidly construct robust, reliable, and efficient data quality solutions for their organizations by understanding data quality principles, workflow design approaches, and data cleansing operations.

The training for IDQ will cover a extensive variety of topics, including administration, a comprehension of fundamental principles related to data quality, data cleansing and matching, profiling, identity resolution, alerting and reporting, and more.

Informatica IDQ online training program begins by acquainting users with the fundamental values of data quality management, counting data profiling, cleansing, enrichment, and matching.

Students will get knowledge on how to build data-quality projects and designs, in addition to how to generate jobs and schedule them.

Students will study how to design vigorous data quality transformations by utilizing the graphical user interface and the fundamental commands of the IDQ scripting language.

In Informatica IDQ class, you will learn how to access data sources, produce metadata, design and develop data quality mappings, and use Informatica Data Quality to improve data quality if you take the IDQ course.

You will also be able to set data and processing rules for verifying, cleaning, and integrating the data and monitor its quality while it is being produced.

Your training with IDQ will assist you in developing workflows that can process data derived from any data source.

Because of this, you can process enormous amounts of data and provide reports for improved data analysis.

Consequently, you will be able to improve the quality of the data while upholding its consistency.

After the training, you can successfully apply the Data Quality ideas and implementation approaches presented throughout the program to the data cleansing, profiling, and matching implementation projects to produce successful data.

Your knowledge of data integration, validation, checking, cleaning, and mining will improve due to your participation in the Informatica IDQ Training.

You will develop into an expert in enhancing the quality and accuracy of your data and meeting customers’ data requirements as you work through this course.

In a short amount of time, we will make available a variety of certification programs.

If you complete this training program, you will be given the designation of Certified Professional.

This will set you apart from competitors by providing an effective means of showing your knowledge in your chosen industry and offering you an advantage over those competitors.

We provide in-depth training courses that cover the core concepts related to the Informatica IDQ certification.

Learners will get an in-depth knowledge of identical techniques, address validation, standardization, duplication management, profiling, and other features of the Informatica IDQ platform for the total of the course.

The Students will be able to build and implement solutions for their organization’s data quality issues that are both efficient and effective once they have gained the knowledge presented during the course.

 

Course Content

1. Introduction to Data Quality

• What is Data Quality?
• Google trend report on DQ
• What is the scope of this DQ course?
• Why do we need DQ?
• Is DQ a Hype or is it Real?
• Where does Informatica stand (Compared to other competitors)?
• Google trend report on Competitors and comparison
• Naukri and Monster job openings
• Salary report from Indeed & Payscale
• A walk through on the course content.

2. What is Informatica Data Quality

• Short Informatica Data Quality Demo with a Real time Project
• Navigation
• What is the scope of Informatica Data Quality Training
• Important options and Shortcuts in the tool
• Types of Tools in Informatica Data Quality (Walkthrough)
• What’s the Architecture, SOA, Client server or Cloud
• Informatica Data Quality Cloud?

3. Installation of Informatica Data Quality

• Supported Systems (Is Windows, Linux, Mac supported)
• What is the Alternative it it’s not Supported(Virtualbox)
• Supported Databases
• Integration with other tools.
• Limitations

4. Different components of Informatica Developer tool

• GUI and login
• What are Mappings?
• Mapplets
• Transformations
• Content Sets
• Data Objects

5. Analyst Collaboration

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

6. Developer Profiling

• Join Analysis Profiling
• Column Profiling
• Multi Object Profiling
• Mappings and transformations
• Mid-stream profiling
• Comparative profiling

7. Data Standardization

• Cleanse, transform and parse data
• Develop data standardization mapplets and mappings

8. Address Validation

• Reusable AV Transformation
• AV Transformation Properties
• AV Inputs and Outputs
• Reusable AV Mapplet

9. Matching

• Grouping data
• Analyze Detail Report
• DQ Matching
• Cluster Analysis Report
• Matching Mapplets

10. Labeling and parsing the data

• What is data Labelling?
• What is parsing and how to perform it.
• Different use cases

11. Consolidation

• Associate and Consolidate data

12. Data Quality Assistant

• Build Mappings to create and populate the DQA tables
• Perform manual Consolidation and Bad Record Management

13. PowerCenter Integration

• Run DQ Mappings in PowerCenter

14. Object Import/Export

• Import Projects using both Basic and Advanced methods
• Export Projects

15. Parameters

• How to use Parameters in Data Quality mappings, transformations and reference tables

16. Content

• What content is available with IDQ9?
• Content Management Service
• Accelerators
• Core Accelerator

17. CanopY project in IDQ

• Project Overview
• How to configure an End to end real-time project.
• Project Guidance
• Project Submission and Verification

18. Mock Interviews with Questions and Answers Discussion

• Functional Q&A
• Technical Q&A
• Project Q&A (For Multiple Domains like Banking, Retail, Insurance, Ecommerce etc)
• Question for Fresher’s and Experienced (How do they differ?)
• How to justify if the resource is not certified.

19. Certification Preparation Session

• How difficult is it to clear the certifications
• Levels of certification
• How to register for them(Technical details)
• Can I apply for certification if my company is not a partner
• If not, what is the alternative
• Certification Mock Q&A discussion

20. Resume Preparation Help

• What’s a Best resume
• What if my resume is worst
• How to prepare a great resume
• Should I be on LinkedIn, Of course Yes
• Providing Photo, Facebook, LinkedIn, Twitter Links in a Resume
• Create Blog, Quora, Stackexchange etc and provide the links in resume.
• SEO in Naukri (how to be on the Top)
• Creating Multiple Profiles in case you need a job urgently(Naukri lookhole)
• Floating your resume in Monster, indeed, Shine etc.
• How to Search for Job providers and jobs in linkedIn
• Aggressive Follow, that’s what counts

21. Post Job Support

• How can we support you if you are in a project
• Can we help you in a disaster recovery process
• How to be in touch with my colleagues and experts