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Analytics Data Model Design
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Analytics Data Model Design

HardSQL · PostgreSQL

Problem

What is your approach to designing data models for analytics?

Use the provided fact and dimension tables to demonstrate a concise analytics model and produce a product usage summary for Q1 2025.

Output

  1. One row per product, including products with no qualifying events.
  2. Columns: product_id, product_name, total_events, active_users, and last_event_date.
  3. Include events from 2025-01-01 through 2025-03-31, count distinct matched users, and sort by total events descending, then product ID ascending.

Schema

analytics_events
ColumnTypeDescription
event_idPKINTUnique event identifier
product_idINTProduct associated with the event
user_idINTUser associated with the event
event_typeVARCHAR(40)Recorded analytics event type
occurred_atTIMESTAMPTimestamp when the event occurred
products
ColumnTypeDescription
product_idPKINTUnique product identifier
product_nameVARCHAR(100)Product display name
product_familyVARCHAR(60)Product family or category
users
ColumnTypeDescription
user_idPKINTUnique user identifier
user_nameVARCHAR(100)User display name
organization_nameVARCHAR(100)User organization
Tablesanalytics_eventsproductsusers
Interviewer

Your question is Analytics Data Model Design. Start with the requirements and the three tables in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.

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CodePostgreSQL
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