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Data pipeline tools help you create and manage pipelines that extract, transform and move data into a central location. Find out what the best tools are here.

When choosing to build or buy, consider whether the following challenges are worth the squeeze.

“Data pipeline” and “Extract, Transform, Load” (ETL) are common phrases encountered in just about every data integration. But what’s the difference?

From cost-effectiveness to what adds business value — what Autodesk considers critical when deciding whether to buy versus build data pipelines.

The five things you need to know about data observability in a data pipeline are: Becoming a data-driven organization is a vital goal for businesses of all sizes and industries—but this is easier said than done. Too many companies fail to attain the fundamental principle of data observability: knowing the existence and status of all the enterprise data at their fingertips.

You'll need to understand the six key components of a data pipeline and overcome five important technical challenges.

Make your customers comfortable opening their data to you with data pipelines that feel like they’re part of your product.

A data pipeline is a series of actions that combine data from multiple sources for analysis or visualization.