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How to Create Dictionaries in Informatica Cloud Data Quality?

Yeah, hello, everyone. So this is Sujeet Patel. And again, I am back with the practical part of Dictionaries in Informatica Cloud Data Quality. So let's try to understand how we can go for practicals and all for creating dictionaries.

We know that a dictionary is one of the key assets in Informatica Cloud Data Quality (CDQ) and in any data quality tool. Let’s break it down in simple terms and understand what a dictionary is and how we can create and use one effectively.

If you’ve worked with any ETL tool, you might be familiar with lookup tables. For example, we often use lookup tables to retrieve information like gender, product details, or country names. You pass a product ID or country ID, and you get the corresponding details. This is exactly how lookups work—they help standardise and retrieve consistent information easily.

In CDQ, a dictionary serves a similar purpose. It is essentially a list of standardised values, just like lookup values, that can be reused across multiple workflows. For instance, in a bank, you might have different products like savings accounts, loans, or credit cards. Each product comes with a product code and a product description.

Instead of hardcoding these values everywhere in your data pipelines, it is best practice to maintain them in a single dictionary. This way, if you ever need to update or change a value, you can make the update in one place—the dictionary—and the change will reflect everywhere that dictionary is used.

Using dictionaries not only helps standardise your data quality rules and processes but also improves maintainability and consistency across your data flows. It ensures that you don’t have to modify multiple workflows manually if a value changes—just update the dictionary, and you’re good to go.

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