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LifestyleInformatica Data Quality Analyst - Beginner's Guide (Udemy.com)
Informatica Data Quality (IDQ) Analyst Course
Created by: Sid Inf
Last updated June 2019
What you will learn
- Perform data profiling and root cause analysis to identify data quality issues opportunities and provide recommendations to work with business and IT for remediation.
- Work with business stakeholders to gather requirements, conduct data profiling and track metrics.
- Proactively identify, prioritize and re-mediate data quality issues.
- Work with cross-functional areas: IT, Data Architecture, Data Integration, Business Intelligence, Analytics, and business stakeholders.
- Participate as a member of key cross-functional working groups related to data quality, and the companys Data Governance Working Group representing the data domain.
- Partners with development and business resources in all phases of Data Quality Implementation.
- Perform analysis and provide recommendations for modification or creation of business/technical rules based on data results.
How it compares
Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:
- Rating4.1 out of 5higher than 9% of them
- Reviews290#727 of 1,183 by number of reviews
- Length5.2 hoursshorter than 52% of them
- Last updatedJune 2019earlier than 89% of them
Course Description
Business analysts and developers use Informatica Analyst for data-driven collaboration. You can perform column and rule profiling, scorecarding, and bad record and duplicate record management. You can also manage reference data and provide the data to developers in a data quality solution.
Organizations use Informatica Analyst to accomplish the following tasks:
Profile data. Create and run a profile to analyze the structure and content of enterprise data and identify strengths and weaknesses. After you run a profile, you can selectively drill down to see the underlying rows from the profile results. You can also add columns to scorecards and add column values to reference tables.
Create rules in profiles. Create and apply rules within profiles. A rule is reusable business logic that defines conditions applied to data when you run a profile. Use rules to further validate the data in a profile and to measure data quality progress.
Score data. Create scorecards to score the valid values for any column or the output of rules. Scorecards display the value frequency for columns in a profile as scores. Use scorecards to measure and visually represent data quality progress. You can also view trend charts to view the history of scores over time.
Manage reference data. Create and update reference tables for use by analysts and developers to use in data quality standardization and validation rules. Create, edit, and import data quality dictionary files as reference tables. Create reference tables to establish relationships between source data and valid and standard values. Developers use reference tables in standardization and lookup transformations in Informatica Developer.
Manage bad records and duplicate records. Fix bad records and consolidate duplicate records.
Who this course is for:
Business AnalystsData AnalystsData ScientistsData Analytics ProfessionalsData Warehouse ProfessionalsBig Data ProfessionalsETL ArchitectsETL DevelopersETL Testing/QA Professionals
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Instructor Details
- 4.1 Rating
290 Reviews
Sid Inf
Business Intelligence Consultant and Trainer with 14+ years of extensive work experience on various client engagements. Delivered many large data warehousing projects and trained numerous professionals on business intelligence technologies. Extensively worked on all facets of data warehousing including requirement gathering, gap analysis, database design, data integration, data modeling, enterprise reporting, data analytics, data quality, data visualization, OLAP.
Has worked on broad range of business verticals and hold exceptional expertise on various ETL tools likeInformatica Powercenter, SSIS, ODI andIDQ, Data Virtualization, DVO,MDM.
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Reviews
By Aniket Ningurkar on 11/2/2020
good try, but the speed of the tutorials is not suitable for beginners, and the info is not accurate at various places.
By Swapnil Vilas Joshi on 10/19/2020
The course explains basics of Data Quality well but the actual IDQ hands-on part feels too rushed considering its a beginner course.
By Shubhabrata Dutta on 10/15/2020
Course content is very good but I felt that the overview of the analyst tool should shown first before going into detailes of each featyres.
By Ravinder Ravula on 10/7/2020
good one
By Vibhuti Shrivastava on 9/15/2020
This is very good introductory course, training is very engaging, good course to build foundation
By Christopher Marinoni on 8/15/2020
When I buy a course I don't expect to be continuously pushed to purchase products.
By Natalia Skiba on 5/23/2020
Everything is great, but it would be better if the course had lessons about scorecards.
By Maria Teresa on 5/23/2020
Yes. It provides what I need to know about IDQ. Thank you so much! Will surely look forward taking your other courses.
By Manasavalli chaturvedula on 5/22/2020
Yes, it helps...Good Learning Experience
By Mahesh Babu Shivashankar on 5/13/2020
This course never talk about adding profiles to scorecard. Scorecard is very important concept. And also in course description, it is mentioned that we would learn about scorecard.
Also for few feature tutor doesn't have license, so those lectures are only theoretically explain and practicals are not shown.
By Deeksha B on 5/6/2020
Good
By Deepak Narang on 5/4/2020
There can be more details to each topic, but overall Presenter is quite informative & concise in knowledge.
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 82 / 100
- Video Duration:
5.2h - Price: $44.99
- Provider: Udemy
- Updated:
June 2019 - Level:
Beginner - Language:
English - Certificate:
Yes
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