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Python Developer Training-the only course you need

Python Developer Training-the only 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…)

Python Certification Course

Python Certification Course

⏰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…)

Python Online Training

Python Online Training

⏰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…)

Java Training

Java Training

⏰24 hours | ▶️ 24 Videos | 📣 3063 Participants |🎓 1605 Reviews | 4.6 ⭐⭐⭐⭐⭐

Choose a Plan that Works for You

Upcoming Batches PST

 Weekday 

Apr 12(1 HR A DAY)
07:00 PM PST
Enroll Now  →

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Apr 26(1 HR A DAY)
07:00 AM PST
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Apr 29(1 HR A DAY)
07:00 PM PST
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Upcoming Batches IST

 Weekday 

Apr 13(1 HR A DAY)
07:30 AM IST
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 Weekday 

Apr 26(1 HR A DAY)
07:30 PM IST
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 Weekend 

Apr 30(1 HR A DAY)
07:30 AM IST
Enroll Now  →

Course Description

Salesforce Vlocity is the pioneer helping many top companies achieve their desired progress using its Omnichannel processes. Vlocity, present on the Salesforce platform, uses Omniscript technology to enhance the CPQ and Guided selling. Vlocity also makes a better understanding of CMT, health, and insurance domains.

Learn the Vlocity course here with us, and let us help you achieve your career.

Vlocity training with real-time scenarios and career guidance makes yourVlocity certification process a cakewalk. One can easily use the online training provided in many modes, such as Self-paced and Instructor-led.

Reach us for any queries, and We are just a text away!

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

• What are Suite Script API’s?
• How to use NetSuite help for Suitscript
• API’s, Governance and Scripting best practices
• Governance limit for all Scripts.
• Record Browser and API documentation
• Scripting templates.
• Best Practices document.
• Client Script
• Client Script Execution (Form level & Record level)

2.Client script triggers types & functions

• Running a Client Script in NetSuite
• User Event Script
• User Event Script Execution
• Type argument & its importance
• User Event Script functions
• Running user event in NetSuite
• Difference between client & User Event scripts
• Suitelet Script
• What Is Suitelet Script and why do we use it?
• Suitelet Types

3.Suitelet execution process

• Linking Suitelet with Client script
• Schedule Script
• Schedule Script overview
• Schedule Script API
• Execution process
• RESTlet Script
• What Is RESTlet and why do we use it?
• Different ways of calling RESTlet
• Tools available for testing RESTlet
• Differences between Suitelet and RESTlet Script

4.Portlet script

• Use Portlet Script
• Scripting Portlet types
• Search Portlets.
• Workflow Action Script
• What is Workflow Action Script & why do we use it?
• Difference between Workflow Action Script & User Event script.
• What is Workflow Action Script & why do we use it?
• Difference between Workflow Action Script & User Event script

5.Mass update script

• What is Mass Update Script and how to use it?
• Differences between Mass Update script and Workflow action script
• Below Points will be discussed in each script type
• Supported Record Types.
• Script functions.
• Script usage limit.
• Deployment status in script

6.Project case driven scenarios

• Script Parameters
• Script Limitations
• Debugging techniques
• Research/tasks on scripts
• Realtime Scenarios – NetSuite Training
• Taking few Realtime requirements
• Working on design and customizations What is Suite Script?

FAQ’s

(more…)

Python Training

Python Training

⏰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…)