Informatica Data Quality Certification Training
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Our IDQ training is by leading industry experts who have experience in working with real-time projects. Our course curriculum has been designed to cover all the concepts from basic to advanced levels such as how to work with Informatica, developer profiling, analyst collaboration, address matching, validation, transformation, mapping and data standardization, hands-on experience with the integration of power center, etc. During the IDQ training, you can gain all the capabilities to achieve great career growth in IDQ technology.
Informatica Data Quality Training Course Syllabus
✔ GUI, Mappings, Mapplets, Transformations, Content Sets, Data Objects
✔ Reviewing information from the Analyst
✔ Creating/adding to Reference tables
✔ Join Analysis Profiling
✔ Column Profiling
✔ Multi-Object Profiling
✔ Mappings and transformations
✔ Mid-stream profiling
✔ Comparative profiling
✔ Scorecard creation and automation
✔ Cleanse, transform and parse data
✔ Develop data standardization mapplets and mappings
✔ Reusable AV Transformation
✔ AV Transformation Properties
✔ AV Inputs and Outputs
✔ Reusable AV Mapplet
✔ Grouping data
✔ Analyze Detail Report
✔ DQ Matching
✔ Cluster Analysis Report
✔ Matching Mapplets
✔ Associate and Consolidate data
✔ Build Mappings to create and populate the DQA tables
✔ Perform manual Consolidation and Bad Record Management
✔ Run DQ Mappings in PowerCenter
✔ Import Projects using both Basic and Advanced methods
✔ Export Projects
✔ How to use Parameters in Data Quality mappings, transformations, and reference tables
✔ What content is available with IDQ9?
✔ Content Management Service
✔ Core Accelerator
✔ Use all that has been covered and apply it to Product Data
|Live Instructor Based Training With Software|
|Lifetime access and 24×7 support|
|Certification Oriented content|
|Hands-On complete Real-time training|
|Get a certificate on course completion|
|Live Recorded Videos Access|
|Study Material Provided|
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Informatica Data Quality Online Training FAQ'S
IDQ refers to Informatica Data Quality which is a tool used by data analysts to deploy the data quality for all different kinds of workloads. IDQ integrates with Informatica Power center to ensure that data quality is delivered. IDQ is specifically designed to perform functionalities like data matching, cleansing, and profiling.
IDQ includes two core components that are listed below:
Data quality workbench: The data quality workbench is the component that performs data analysis and creates the rules accordingly for data enrichment and standardization.
Data quality server: The Data Quality Server is used to run the programs, file sharing, and accomplish the plans in a networked environment. It also supports networking through different domains and communicates with workbench over TCP/IP.
Connected Lookup: The connected lookup is a lookup that is capable of participating in all the workflows and receives the inputs from other transformations directly. Connected lookup is used in both static and dynamic cache, supporting user-defined values.
Unconnected Lookup: Unconnected lookup is capable of receiving the inputs based on the last known position. It returns only one column value. Unconnected lookup is not capable of supporting user-defined values.
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A predefined event states that the event is predefined. It is likely to be a file-watch event. A predefined event waits for a particular file to arrive at a specific location.
A user-defined event is a collection or flow of the tasks to be performed in the workflow process. The user-defined events are created and utilized based on the requirement.
Address Doctor in IDQ is a transformation primarily used to compare the input address data with the reference data. It is designed to determine the accuracy of the input address and relatively fixes the errors in those addresses. It is the validator transformation available to rectify and make the necessary changes to the data as per the business requirements.
The standalone command task could be used to execute shell commands anywhere in the workflow process.