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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.

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