Overview of Data Quality and Informatica Developer covering areas such as the GUI, Mappings, Mapplets,Transformations, Content Sets, Data Objects and Tips forworking with Developer.
- Review Information from the Analyst
- Create/Add to Reference Tables
- Shared projects and team collaboration means no loss of information or duplication of work across projects
- Perform Join Analysis Profiling
- Perform Column Profiling
- Multi Object Profiling
- Build and execute a Mapping using core transformations
- Configure Transformation Properties
- Mid stream profiling
- Comparative Profiling
- Develop data standardization mapplets and mappings
- Cleanse, transform and parse data
- Data Quality cleansing and parsing transformations
- Configuring a Reusable AV Transformation
- AV Transformation Properties
- AV Inputs and Ouputs
- Define a Reusable AV Mapplet
- Grouping Data
- Key Generator Transformation
- Key Gen Methods and Properties
- Analyze Detail Report
- DQ Matching
- Perform matching using the Match Transformation
- Match Properties
- Matching Algorithms
- Cluster Analysis Report
- Create and update matching Mapplets
- Additional Matching Transformations
- Build and address validation mapping to incorporate your mapplet Matching.
- Build matching mappings using Identity Matching
- Identity Populations and Strategies
- Transformations and techniques
- Automatically associate and consolidate your match data using a variety of association and consolidation
- Perform Manual consolidation and bad record management using the DQA
- Build mappings to create and populate the DQA tables using the new Exception Transformation
- Execute Data Quality mappings/mapplets in PowerCenter
- Learn how to export and import projects using both basic and advanced methods
- Run Data Quality mappings on Excel spreadsheets
- How to use parameters in Data Quality mappings, transformations and reference tables
- What content is available with IDQ9?
- Content Management Service
- How to configure AV information
- What are Accelerators?
- What comes with the Core Accelerator?
Problem Statement: How to deploy data quality across the Big Bazaar store to handle different capabilities?
Description: In this project, we'll work on deploying data quality processes for a Big Bazaar store. For this, we'll have a customer table, employee table, store table, date dimension, product table and order table. By combining all these tables, we'll implement each and every transformation into various scenarios as per business requirements.
The following are the core skills that you will acquire in this course:
The following job roles are benefited by taking this course:
There are no prerequisites for this training. But, basic knowledge of:
The core skills that the candidate will learn after successful completion of this training are as follows:
18 Sep, 2020 - 18 Oct, 2020
30 Sep, 2020 - 15 Oct, 2020
03 Oct, 2020 - 07 Nov, 2020
04 Oct, 2020 - 03 Nov, 2020
07 Oct, 2020 - 22 Oct, 2020
10 Oct, 2020 - 14 Nov, 2020
Our Informatica Data Quality course covers all the topics that are required to clear Informatica Data Quality certification. Trainer will share Informatica Data Quality certification guide, Informatica Data Quality certification sample questions, Informatica Data Quality certification practice questions.
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Yes, you get two kinds of discounts. They are group discount and referral discount. Group discount is offered when you join as a group, and referral discount is offered when you are referred from someone who has already enrolled in our training.
The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course.
The trainer is a certified consultant and has significant amount of experience in working with the technology.
Yes, we accept payments in two installments.
If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within first 2 sessions of the training. Please make a note that refunds will be processed within 30 days of prior request.
User Reviews on popular courses
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