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Informatica PIM Integration Training – The only Product Information Management Course you need

Informatica PIM Integration Training – The only Product Information Management Course you need

⏰16 hours | ▶️ 14 Videos | 📣 31 Participants | 🔥13 Reviews

Choose a Plan that Works for You

Course Description

So you want to learn Informatica PIM? Great job!

Do you know Informatica PIM is the most trending Product Information Management course?

There are massive opportunities in Informatica PIM as it leads the Product 360 market.

Our Informatica PIM course is a job oriented course ie at the end of the course you can
easily clear interviews or onboard into an ongoing Informatica PIM project.

Also the salaries in Informatica PIM is very impressive (Indeed.com report)

Features

✅Lifetime access ✅Lifetime video access
✅Real-time case studies ✅The project integrated into the Curriculum
✅24*7 Support from our team of administrators

Course Content

1. What is PIM?

 

2. What is Informatica PIM?

 

3. Informatica PIM Introduction and Overview

 

4. Data Model of PIM and it’s Repository?

 

5. Different Perspectives and Views in PIM

 

6. Supplier and Master Catalogs and their usage?

 

7. Imports & Exports in PIM

 

8. Structures in PIM

 

9. What are Workflows and Tasks and how to create them?

 

10. What is Assortments & Process Overview?

 

11. What are User & User Groups and how to create them?

 

12. Data Model Customizations

 

13. Extension Creation and Explanation

 

14. How to Customize Imports?

 

15. How to Customize Exports?

 

16. How to create System Jobs?

 

17. Synchronizing Supplier and Master Catalogs

 

18. UI Additions and Enhancements

 

19. How to create HTML Previews?

 

20. How to create Structure Hierarchy?

 

21. How to create Dynamic Enumerations?

 

22. Command Framework and its usage

 

23. What Rest API in PIM and how to use them?

 

24. Explanation on PIM Integration with modules

 

FAQ’s

(more…)

Informatica PIM Architecture Training – The only Product Information Management Course you need

Informatica PIM Architecture Training – The only Product Information Management Course you need

⏰16 hours | ▶️ 14 Videos | 📣 31 Participants | 🔥13 Reviews

Choose a Plan that Works for You

Course Description

So you want to learn Informatica PIM? Great job!

Do you know Informatica PIM is the most trending Product Information Management course?

There are massive opportunities in Informatica PIM as it leads the Product 360 market.

Our Informatica PIM course is a job oriented course ie at the end of the course you can
easily clear interviews or onboard into an ongoing Informatica PIM project.

Also the salaries in Informatica PIM is very impressive (Indeed.com report)

Features

✅Lifetime access ✅Lifetime video access
✅Real-time case studies ✅The project integrated into the Curriculum
✅24*7 Support from our team of administrators

Course Content

1. What is PIM?

 

2. What is Informatica PIM?

 

3. Informatica PIM Introduction and Overview

 

4. Data Model of PIM and it’s Repository?

 

5. Different Perspectives and Views in PIM

 

6. Supplier and Master Catalogs and their usage?

 

7. Imports & Exports in PIM

 

8. Structures in PIM

 

9. What are Workflows and Tasks and how to create them?

 

10. What is Assortments & Process Overview?

 

11. What are User & User Groups and how to create them?

 

12. Data Model Customizations

 

13. Extension Creation and Explanation

 

14. How to Customize Imports?

 

15. How to Customize Exports?

 

16. How to create System Jobs?

 

17. Synchronizing Supplier and Master Catalogs

 

18. UI Additions and Enhancements

 

19. How to create HTML Previews?

 

20. How to create Structure Hierarchy?

 

21. How to create Dynamic Enumerations?

 

22. Command Framework and its usage

 

23. What Rest API in PIM and how to use them?

 

24. Explanation on PIM Integration with modules

 

FAQ’s

(more…)

Informatica PIM 360 Training – The only Product Information Management Course you need

Informatica PIM 360 Training – The only Product Information Management Course you need

⏰16 hours | ▶️ 14 Videos | 📣 31 Participants | 🔥13 Reviews

Choose a Plan that Works for You

Course Description

So you want to learn Informatica PIM? Great job!

Do you know Informatica PIM is the most trending Product Information Management course?

There are massive opportunities in Informatica PIM as it leads the Product 360 market.

Our Informatica PIM course is a job oriented course ie at the end of the course you can
easily clear interviews or onboard into an ongoing Informatica PIM project.

Also the salaries in Informatica PIM is very impressive (Indeed.com report)

Features

✅Lifetime access ✅Lifetime video access
✅Real-time case studies ✅The project integrated into the Curriculum
✅24*7 Support from our team of administrators

Course Content

1. What is PIM?

 

2. What is Informatica PIM?

 

3. Informatica PIM Introduction and Overview

 

4. Data Model of PIM and it’s Repository?

 

5. Different Perspectives and Views in PIM

 

6. Supplier and Master Catalogs and their usage?

 

7. Imports & Exports in PIM

 

8. Structures in PIM

 

9. What are Workflows and Tasks and how to create them?

 

10. What is Assortments & Process Overview?

 

11. What are User & User Groups and how to create them?

 

12. Data Model Customizations

 

13. Extension Creation and Explanation

 

14. How to Customize Imports?

 

15. How to Customize Exports?

 

16. How to create System Jobs?

 

17. Synchronizing Supplier and Master Catalogs

 

18. UI Additions and Enhancements

 

19. How to create HTML Previews?

 

20. How to create Structure Hierarchy?

 

21. How to create Dynamic Enumerations?

 

22. Command Framework and its usage

 

23. What Rest API in PIM and how to use them?

 

24. Explanation on PIM Integration with modules

 

FAQ’s

(more…)

Data Quality Assistant Training – The only Data Quality Course you need

Data Quality Assistant Training – The only Data Quality Course you need

⏰28 hours | ▶️ 26 Videos | 📣 279 Participants | 🔥 146 Reviews

Choose a Plan that Works for You

Course Description

So you want to learn Informatica IDQ? Great job!

Do you know Informatica IDQ is the most trending Data Quality course?

There are massive opportunities in Informatica IDQ as it leads the Data Quality market.

Our Informatica Data Quality course is a job oriented course ie at the end of the course you can
easily clear interviews or onboard into an ongoing Informatica IDQ project.

Also the salaries in Informatica IDQ is very impressive (Indeed.com report)

Features

✅Lifetime access ✅Lifetime video access
✅Real-time case studies ✅The project integrated into the Curriculum
✅24*7 Support from our team of administrators

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

FAQ’s

(more…)

Data Quality Server Training – The only Data Quality Course you need

Data Quality Server Training – The only Data Quality Course you need

⏰28 hours | ▶️ 26 Videos | 📣 279 Participants | 🔥 146 Reviews

Choose a Plan that Works for You

Course Description

So you want to learn Informatica IDQ? Great job!

Do you know Informatica IDQ is the most trending Data Quality course?

There are massive opportunities in Informatica IDQ as it leads the Data Quality market.

Our Informatica Data Quality course is a job oriented course ie at the end of the course you can
easily clear interviews or onboard into an ongoing Informatica IDQ project.

Also the salaries in Informatica IDQ is very impressive (Indeed.com report)

Features

✅Lifetime access ✅Lifetime video access
✅Real-time case studies ✅The project integrated into the Curriculum
✅24*7 Support from our team of administrators

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

FAQ’s

(more…)

Informatica Analyst Training – The only Data Quality Course you need

Informatica Analyst Training – The only Data Quality Course you need

⏰28 hours | ▶️ 26 Videos | 📣 279 Participants | 🔥 146 Reviews

Choose a Plan that Works for You

Course Description

So you want to learn Informatica IDQ? Great job!

Do you know Informatica IDQ is the most trending Data Quality course?

There are massive opportunities in Informatica IDQ as it leads the Data Quality market.

Our Informatica Data Quality course is a job oriented course ie at the end of the course you can
easily clear interviews or onboard into an ongoing Informatica IDQ project.

Also the salaries in Informatica IDQ is very impressive (Indeed.com report)

Features

✅Lifetime access ✅Lifetime video access
✅Real-time case studies ✅The project integrated into the Curriculum
✅24*7 Support from our team of administrators

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

FAQ’s

(more…)