Enhance Log Querying and Analytics with Reference Tables, Subqueries, and Calculated Fields

Learning Objectives

By the end of this course, you’ll be able to do the following:

Import and save data in Datadog as Reference Tables
Create log queries using Reference Table joins in Log Explorer
Query logs based on the results of a secondary query using Subqueries in Log Explorer
Create calculated fields using tag and attributes in Log Explorer
Build visualizations for calculated fields in Log Explorer

Primary Audience

This course is designed for DevOps Engineers, SREs, and other DD users that will be using Datadog to use Log Explorer to search and analyze log data.

Prerequisites

Familiarity with querying and analytics in Log Explorer using search syntax, facets, measures, queries, and aggregations
Recommended - Getting Started with Log Explorer course
Recommended - Dive Deeper into Log Queries and Aggregations course

Technical Requirements

In order to complete the course, you will need:

Google Chrome or Firefox
Third-party cookies must be enabled to access labs

Course Navigation

At the bottom of each lesson, click the MARK LESSON COMPLETE AND CONTINUE button so that you are marked complete for each lesson and can receive the certificate at the end of the course.

Course Enrollment Period

Please note that your enrollment in this course ends after 30 days. You can re-enroll at any time and pick up where you left off.

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