Speaker view / 04

Data, SQL, and system thinking

Select a slide below to review what to present. Keep this tab beside the presentation window.

Title

Data, SQL, and system thinking

35 minutes · Developers and QA professionals

Opening notes

Welcome the viewer. Explain that this is one lesson in the eight-part Job-Ready Software Engineering series. Set up the outcome before beginning.

01

Follow the data

Understand what the feature must remember

Speaker notes

Every feature has data behind it. Understanding data helps you debug, test, and design better software.

02

From story to data

  • Who owns it?
  • Which company and role?
  • Current status?
  • Next action?
  • Due date?
Speaker notes

Before writing SQL, ask what the system needs to remember and what rules should always be true.

03

Model the relationships

  • Primary key identifies a row
  • Foreign key connects rows
  • Constraints protect valid data
  • One user can have many applications
Speaker notes

The model encodes decisions. It is not decoration.

04

SQL answers business questions

  • Filter rows
  • Join related data
  • Group and count
  • Order useful results
Speaker notes

Read queries in plain language. The important skill is connecting a business question to a query.

05

Edge cases are product behavior

  • Missing company
  • Duplicate application
  • Unknown status
  • Time zone boundary
  • Deleted user
  • Empty search
Speaker notes

Every edge case is a chance for a bug or an explicit decision.

06

Demo: investigate a reporting defect

The dashboard says there are no active applications.

Speaker notes

Show a query that uses the wrong status or a join that hides rows. Fix it and explain why the original result was misleading.

07

Pause: ask a data question

  • Write one business question
  • Write the SQL needed to answer it
  • Explain what the result means
Speaker notes

Examples: which companies have more than one active application? How long do applications stay in interview status?

08

Your artifact

  • Small schema diagram
  • Three useful queries
  • One documented trade-off
Speaker notes

This is enough to show system thinking without pretending to be a database specialist.

End

Make the artifact.

Publish your work, then continue to the next lesson.

Closing notes

Repeat the artifact viewers should create. Invite them to subscribe and join the future live cohort waitlist.