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Guided practice · Combine and Summarize Data

Guided Lab: Combine and Summarize Data in SQL and Relational Databases

SQL and Relational Databases — Combine and Summarize Data lab: Return each customer with order count and total order value, including customers with no orders, then filter to customers whose total exceeds a chosen threshold.

55 min 5 field checks Safety: Moderate
Outcome summary

Know what success looks like before you begin

What you will produce

Complete the lab with a grouped SQL report that combines related tables without double-counting.

Evidence to save

Save verification evidence: query output, expected row counts, and a check for unmatched or duplicated rows.

Pass criteria
  • I completed the module-specific practice task.
  • I produced a grouped SQL report that combines related tables without double-counting.
  • I saved query output, expected row counts, and a check for unmatched or duplicated rows.
  • I diagnosed and corrected one realistic Combine and Summarize Data failure.
Common failure signal

Stop before using production credentials, important data, shared permissions, live infrastructure, or destructive commands that are not required by the lab.

Jump to a section
Lab brief

Know the problem and the evidence you need

The situation

Return each customer with order count and total order value, including customers with no orders, then filter to customers whose total exceeds a chosen threshold.

Your finished record

a grouped SQL report that combines related tables without double-counting

Complete the task, verify query output, expected row counts, and a check for unmatched or duplicated rows, then diagnose one failure that is specific to Combine and Summarize Data.

Why this matters

Combine related tables with joins, summarize rows with aggregate functions, group results correctly, and recognize when joins multiply rows unexpectedly.

Safety and setup

Prepare before changing anything

Have this ready

  • Create small customers and orders tables with a primary-key/foreign-key relationship.
  • Insert enough sample rows to include a customer with multiple orders and a customer with no orders.
  • Write the expected row count before running the join.
Field checks

Run the lab

Complete one check at a time. Record the evidence before moving on.

0 of 5 checks complete
Interpret results

Match the evidence to the next action

If you seeNext action

The expected result appears and the boundary case behaves correctly

Save the result and continue to the module checkpoint.

The normal case works but the failure or boundary case does not

Return to the diagnostic step and inspect the module-specific state or output before changing more code.

The result changes between runs

Compare the relevant input, dependency, configuration, data, state, or runtime version for this module.

Decision point

Choose the next action

Complete the lab when you can reproduce the working result, explain the important module decision, and recover from the tested failure.

Completion

Confirm the evidence you produced

Finished record: a grouped SQL report that combines related tables without double-counting

  • I completed the module-specific practice task.
  • I produced a grouped SQL report that combines related tables without double-counting.
  • I saved query output, expected row counts, and a check for unmatched or duplicated rows.
  • I diagnosed and corrected one realistic Combine and Summarize Data failure.

Editorial review date:

Reviewed by: David Pac

Review method: Curriculum review plus automated schema, rendering, internal-link, representative learning-needs, and regression checks.