Aug 5, 2025 · 3 min read · When you’re working with Cloud Data Quality (CDQ), it’s easy to assume the job is done once you've profiled the data—that is, identified what’s missing or wrong. But identifying issues is only half the battle; the real power lies in automatically fix...
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Jul 29, 2025 · 2 min read · If you’re trying to learn Informatica Cloud Data Quality (CDQ) through demo sessions, scattered blogs, or those "Informatica cloud data quality training pdf" downloads — I’ve been there. And I wasted weeks doing it. Until I got pulled into a real Inf...
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Jul 26, 2025 · 3 min read · I encountered a real-time scenario that was a bit challenging. While it doesn’t occur often, it’s important when it does. I tried to address it using the Normalizer transformation in Informatica to convert columns into rows. Below is the approach I f...
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Jul 19, 2025 · 3 min read · When I started working with Informatica MDM Cloud SaaS, I assumed match and merge logic would work exactly like it did in our on-prem projects. Same rules, same comparators, just a cloud UI wrapped around it. But the deeper we got into actual IDMC im...
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Aug 30, 2023 · 3 min read · The Lookup transformation is a crucial component in Informatica, a widely used data integration and ETL (Extract, Transform, Load) tool. The Lookup transformation is utilized to search for and retrieve related data from a reference dataset, typically...
Join discussionJul 12, 2023 · 3 min read · In Informatica, data acquisition refers to the process of collecting and ingesting data from various sources into an Informatica environment for further processing, transformation, and analysis. It involves extracting data from source systems, transf...
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