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The Informatica logo against a teal textured background.

5 Downsides of Informatica Data Quality and How DataBuck Eliminates Them

Do you know the major downsides of Informatica Data Quality—and how to work around them? Often known as Informatica DQ, ...
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Computer graphic representation of a data mesh architecture.

What is Data Mesh Architecture? How to Build It with the Right Tools, Platforms, and Principles

Is your organization ready to implement a data mesh architecture? Building a data mesh involves transitioning from a centralized to ...
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Data servers preparing for data integration.

Data Integration: Challenges, Best Practices, and Tools

How well does your organization integrate data from multiple sources? Effective data integration is critical to turning raw data into ...
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Woman tying her shoes in preparation for a run; illustrates the need for data preparation.

The Ultimate Guide to Data Preparation: A 6 Step Process

Do you know why data preparation is important to your organization? Poor-quality or “dirty” data can result in unreliable analysis ...
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Diverse individuals communicating through speech bubbles, symbolizing the collaboration and innovation of a data-driven culture in your organization.

How to Create a Data-Driven Culture in Your Organization

Quality data enables businesses to make informed decisions, maximize profits, and implement data-driven technologies. The catch? Obtaining the data can ...
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Abstract data being ingested into a vortex.

Data Ingestion: Pipelines, Frameworks, and Process Flows

Do you know how data is ingested into a system? Can you distinguish between a data pipeline, data framework, and ...
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