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Data Observability: What It Is and Why It Matters

As a process, data observability is used by businesses working with massive amounts of data. Many large, modern organizations try to monitor their data using a variety of applications and tools. Unfortunately, few businesses develop the visibility necessary for a realistic overview.  Data observability provides that overview, to eliminate data flow problems as quickly as […]

Best Practices in Data Pipeline Test Automation

Data integration processes benefit from automated testing just like any other software. Yet finding a data pipeline project with a suitable set of automated tests is rare. Even when a project has many tests, they are often unstructured, do not communicate their purpose, and are hard to run. A characteristic of data pipeline development is the frequent […]

Why Data Quality Problems Plague Most Organizations (and What to Do About It)

For business leaders to make informed decisions, they need high-quality data. Unfortunately, most organizations – across all industries – have Data Quality problems that are directly impacting their company’s performance.   Case in point: In a recent survey conducted by my company, practitioners were asked about the issues that plague their work, how much they trust their organization’s […]