Introduction to Informatica Data Quality

Introduction to Informatica Data Quality

Introduction to Informatica Data Quality (IDQ)

The creation of a data warehouse utilizing Informatica’s potent ETL tool, Informatica Power Centre, is given first attention. By offering a tool called Introduction to Informatica Data Quality, Informatica guarantees that the data warehouse has high-quality data. Regardless of size, data type, platform, or technology, Informatica Data Quality offers clean, high-quality data.

It guarantees that address information is verified and improved, that business data is profiled and cleaned, that data governance practices are put into place, and that other data quality criteria are met. For all business objectives and applications, Informatica Data Quality employs a single platform to deliver high-quality data.

Regardless of the underlying platform and technology, it enables you to proactively identify, profile, monitor, and cleanse your data in a consistent and reusable manner.

Data Quality Projects – Where to start?

Profiling the Data in Step 1 (Analyst Task)

There are three files/tables:

Orders: This includes details about Customer orders such as OrderID, PONumber, and Customer ID. Dates for Order and Shipping

Order Details: This section includes details about the order itself, including the item number, item Price per unit, and description.

Customer Shipping: This includes the customer’s details and shipping address. Using data profiling, one can locate issues with completeness (what data is missing), conformance, and consistency. (What information is stored in a non-standard format) and consistency (where information from one field in a record conflicts with information from another field in the same record). Before we start to clean up and standardize the data, we must first determine where the issues are.

The second step is standardizing the data (a developer and analyst task).

The analyst can spot abnormalities and decide what needs to be standardized after the data has been profiled.

These specifications can be outlined in the profile, allowing analysts and developers to work together on projects.

The developer will need reference tables from the analyst to standardize, clean up, and enrich the data. Once applets have been created by the developers, the analyst can analyze them and make any necessary modifications.

Using the analyst and developer tools, the data analyst and developer can quickly interact and share project-related knowledge. Introduction to Informatica Data Quality

This mutual information exchange and facilitation of communication during projects help to minimize misunderstandings and guarantee project success.

Informatica IDQ Training In India

Course Objectives: Introduction to Informatica Data Quality

  • On completion of this course, Attendees will be able to :
  • Navigate the Developer Tool and collaborate on projects with Analysts using the Analyst Tool
  • Perform Column, Rule, Join, Multi-object, and Mid-Stream Profiling
  • Manage reference tables in the Analyst Tool
  • Design and develop Mapplets
  • Create standardization, cleansing, and parsing routines
  • Validate addresses
  • Identify duplicate records
  • Build mappings used to associate and consolidate matched records

By learning Introduction to Informatica Data Quality through VISWA Online Trainings, advance in your job.

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