Using DataPrime

Now that you’ve learned the core building blocks of the DataPrime language— how data is structured, how commands and functions work, and how to run a query— you’re ready to start solving real problems.

This section moves from understanding DataPrime to using it effectively. Each guide here is scenario-based and designed to teach you how to manipulate, transform, and analyze your data with purpose. You’ll learn how to:

• Filter and shape logs to isolate what matters most
• Enrich, clean, and restructure data in-flight
• Calculate metrics and track performance over time
• Work with arrays, nested objects, and strings
• Apply conditional logic and detect anomalies
• Combine datasets and correlate logs and spans
• Prepare queries for use in dashboards and alerts
• Use functions to normalize and validate raw data

Every guide is grounded in real-world use cases—from triaging errors to visualizing latency trends—so you not only learn the syntax, but also when and why to use it.

Whether you're exploring logs for the first time or building production-grade queries, this section will give you the practical fluency to get there.