Informatica Data Quality Certification Training
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Learners : 1080
About Course
Informatica Data Quality (IDQ) is a software solution designed to ensure the accuracy, consistency, and reliability of data within an organization. It helps organizations identify and resolve data quality issues, ultimately improving the quality of their data for various purposes like analytics, AI, and decision-making. Enroll today to get certified.
Informatica Data Quality Training Course Syllabus
✔ GUI, Mappings, Mapplets, Transformations, Content Sets, Data Objects
✔ Reviewing information from the Analyst
✔ Comments/Tags
✔ 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
✔ Accelerators
✔ 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 |
| Flexible Schedules |
| Live Recorded Videos Access |
| Study Material Provided |
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Live Virtual Training
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Schedule your sessions at your comfortable timings.
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Instructor-led training, Real-time projects
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Certification Guidance.
Self-Paced Learning
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Complete set of live-online training sessions recorded videos.
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Learn technology at your own pace.
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Get access for lifetime.
Corporate Training
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Learn As A Full Day Schedule With Discussions, Exercises,
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Practical Use Cases
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Design Your Own Syllabus Based
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.
Get ahead in your career by learning IDQ through VISWA Online Trainings
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.
