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How would you model customer transaction data for both analytical and operational use cases?

General/Otherhard0.5 min readPremium

Hybrid model with clear separation of concerns. WHY: OLTP and analytics have opposing requirements—low-latency writes vs. analytical scans. OLTP: Normalized schema (customers, accounts, transactions) with indexes; event sourcing for auditability. Analytics: Denormalized...

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Frequency
Low
Asked at 1 company
Category
243
questions in General/Other
Difficulty Split
151E|43M|49H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
BCG
Key Concepts Tested
partitionsnowflakespark

Why This Question Matters

This hard-level General/Other question appears frequently in data engineering interviews at companies like BCG. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (partition, snowflake, spark) will help you answer variations of this question confidently.

How to Approach This

This is a senior-level question that tests architectural thinking. Lead with the high-level design, then drill into specifics. Discuss trade-offs explicitly - there is rarely one correct answer. Show awareness of scale, fault tolerance, and operational complexity.

Expert Answer
103 words

Hybrid model with clear separation of concerns. WHY: OLTP and analytics have opposing requirements—low-latency writes vs. analytical scans. OLTP: Normalized schema (customers, accounts, transactions) with indexes; event sourcing for auditability. Analytics: Denormalized star/snowflake—fact table (transaction_id, customer_id, product_id, amount, ts) + dimensions. Bridge via CDC. ARCHITECTURE DIAGRAM:

[OLTP DB] --CDC--> [Kafka/Debezium]
| |
v v
[Operational APIs] [Spark/Flink]
|
v
[Delta Lake]
/ | \
v v v
[Bronze] [Silver] [Gold]
|
v
[Snowflake/BQ]
|
v
[BI / ML]

SCALABILITY: Partition by date; incremental models; single source of truth. COST: CDC vs batch—CDC reduces latency but increases infra; batch cheaper at lower freshness needs.

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