Informatica Data Quality Training IDQ
The Informatica Data Quality for Analysts certification serves as a testament to an individual’s proficiency in leveraging Informatica’s data quality tools for managing and enhancing data. With this certification, one demonstrates their expertise in proficient data profiling, managing data quality rules, standardization, and matching. These skills are crucial in industries that heavily rely on data such as healthcare, finance, and retail, as they ensure accurate analysis and monitoring of data, guaranteeing that only high-quality, accurate data is being used to inform business decisions and strategies. By understanding and utilizing Informatica’s suite of data quality software to the fullest, this certification enables efficient data management and enhanced data-driven decision-making
Course Key Learnings
- IDQ is a comprehensive data quality management tool that provides a wide range of features such as data profiling, cleansing, enrichment, and matching
- The training program acquaints users with the fundamental values of data quality management and teaches them how to build data-quality projects and designs, in addition to how to generate jobs and schedule them
- The course is designed to develop a specific skillset and knowledge as it relates to an Informatica product or solution. .
- Each path starts with foundational or core training and progresses to advanced level training.
Course Content:
Module1: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
Module2:What is Informatica Data Quality
- 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?
Module3: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
Module4: Different components of Informatica Developer tool
- GUI and login
- What are Mappings?
- Mapplets
- Transformations
- Content Sets
- Data Objects
Module5:Analyst Collaboration
- Reviewing information from the Analyst
- Comments/Tags
- Creating/adding to Reference tables
Module6:Developer Profiling
- Join Analysis Profiling
- Column Profiling
- Multi Object Profiling
- Mappings and transformations
- Mid-stream profiling
- Comparative profiling
Module7:Data Standardization
- Cleanse, transform and parse data
- Develop data standardization mapplets and mappings
Module8:Address Validation
- Reusable AV Transformation
- AV Transformation Properties
- AV Inputs and Outputs
- Reusable AV Mapplet
Module9:Matching
- Grouping data
- Analyze Detail Report
- DQ Matching
- Cluster Analysis Report
- Matching Mapplets
Module10: Labeling and parsing the data
- What is data Labelling?
- What is parsing and how to perform it.
- Different use cases
Module11: Parameters
- How to use Parameters in Data Quality mappings, transformations and reference tables
Course Prerequisites
– Prior experience in Informatica PowerCenter
– Familiarity with SQL or Oracle Database
– Knowledge of Business Intelligence concepts
– Experience with data analysis and data quality management
– Basic programming skills
– Familiarity with Windows and UNIX environments.
Target Audience
– Business and data analysts
– Data stewards
– Data quality managers
– Informatica end-users
– Quality Assurance personnel
– Informatica prospects
– IT professionals involved in data management
International Student FEE : 1000 US$
Internships, Freelance and Full-Time Work opportunities
👫🏻 Join Internships and Referral Program (click for details)
👫🏻 Work as Freelancer or Full-Time Employee (click for details)
Flexible Class Options
- Week End Classes For Professionals SAT | SUN
- Corporate Group Trainings Available
- Online Classes – Live Virtual Class (L.V.C), Online Training
Related Courses
ETL with Microsoft SQL Server Integration Services (SSIS)
Oracle Big Data Master (Data Integrator – Hadoop, ETL, MapReduce, Apache Spark)
SQL Server Database Administration (SQL Server DBA)