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Course Content
1. Introduction to Data Quality
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Data Quality: What Is It? Report on Google Trends for DQ What exactly does this DQ course cover? Why is DQ necessary? Is DQ Real or Just a Hype? Where does Informatica stand in relation to its rivals? Comparison and Competitor Trend Report from Google Jobs on Naukri and Monster Salary data from Payscale and Indeed A run-through of the course material.
2. What is Informatica Data Quality
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Brief Demo of Informatica Data Quality with a Live Project Navigation What does Informatica Data Quality Training entail? The tool’s key settings and shortcuts Informatica Data Quality Tool Types (Walkthrough) Which architecture is better: SOA, client-server, or cloud? Cloud Informatica Data Quality.
3. Installation of Informatica Data Quality
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Assisted Systems (Is Windows, Linux, Mac supported) If not supported, what is the alternative? (Virtualbox) Accessible Databases Combining with other tools Limitations.
4. Different components of Informatica Developer tool
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Login using a GUI What exactly are maps? Mapplets Transformations Sets of Content Data Items.
5. Analyst Collaboration
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Examining data from the Analyst Comments/Tags Adding to/creating Reference tables.
6. Developer Profiling
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Analysis Profiling Join Table Profiling Object Multi-Profiling Transforms and mappings During-process profiling Profiling comparison.
7. Data Standardization
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Organize, modify, and parse data Create mappings and mapplets for data standardization.
8. Address Validation
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AV Transformation That Is Reusable Properties for AV Transformation inputs and outputs for AV Useful AV Mapplet.
9. Matching
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Organizing data Analyze Report Detail Matching DQ Report on Cluster Analysis Mapplets matching.
10. Labeling and parsing the data
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What does data labelling mean? How to conduct parsing and what it is Many usage cases.
11. Consolidation
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Combine and aggregate data
12. Data Quality Assistant
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Create and fill the DQA tables by building mappings. Consolidate manually and manage records poorly.
13. PowerCenter Integration
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PowerCenter DQ Mappings to run.
14. Object Import/Export
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Projects may be imported using both simple and complex techniques. Export initiatives.
15. Parameters
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How to utilise parameters in reference tables, mappings, and transformations for data quality.
16. Content
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What kind of material is offered by IDQ9? Service for Content Management Accelerators Accelerator Core
17. CanopY project in IDQ
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Project Summary How to set up a complete real-time project Project Direction Submission and validation of the project.
18. Mock Interviews with Questions and Answers Discussion
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Interactive Q&A Technical queries Project QA (For Multiple Domains like Banking, Retail, Insurance, Ecommerce etc) How do experienced workers and new hires differ from one another? How to defend the resource if it is uncertified.
19. Certification Preparation Session
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How challenging are the certifications to pass Certification levels How to enrol in them (Technical details) Can my business apply for certification if it isn’t a partner? What would be the alternative, if not Mock Q&A session for certification.
20. Resume Preparation Help
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What Makes a Good Resume What if I have the worst resume? How to write a fantastic resume Do I need to be on LinkedIn? Of certainly. Including links to a photo, Facebook, LinkedIn, and Twitter in a resume Create blogs, Stackexchange, Quora, etc., and include links in resumes. In Naukri SEO (how to be on the Top) Making multiple profiles in the event that you need a job right away (Naukri lookhole) Floating your resume in places like Shine, Monster, and Indeed How to Use LinkedIn to Find Jobs and Job Providers Aggressive Follow is what matters.
21. Post Job Support
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How can we assist you with your project? Are you in need of catastrophe recovery assistance? How can I contact my coworkers and experts?
Informatica IDQ Training
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