End-to-End SQL Pipeline

How can we clean, deduplicate, validate, aggregate, and rank customer order data in one SQL transformation?

Advanced⏱ 3 Minutes⭐ 2050 XP

🤔 THE QUESTION

How can we clean, deduplicate, validate, aggregate, and rank customer order data in one SQL transformation?

💡 WHAT IS IT?

A 4-step CTE pipeline (deduplicated -> valid_orders -> customer_metrics -> ranked output) performs complete enterprise transformation.

🎯 WHAT IS IT USED FOR?

Production analytics engineering, full warehouse ELT pipeline, gold layer mart generation with customer ranking.

💻 EXAMPLE

WITH deduplicated AS (
    SELECT *
    FROM (
        SELECT
            *,
            ROW_NUMBER() OVER (
                PARTITION BY order_id
                ORDER BY updated_at DESC
            ) AS rn
        FROM source_orders
    ) ranked
    WHERE rn = 1
),
valid_orders AS (
    SELECT *
    FROM deduplicated
    WHERE customer_id IS NOT NULL
    AND amount IS NOT NULL
    AND amount >= 0
),
customer_metrics AS (
    SELECT
        customer_id,
        COUNT(*) AS order_count,
        SUM(amount) AS total_spend
    FROM valid_orders
    GROUP BY customer_id
)
SELECT
customer_id,
order_count,
total_spend,
RANK() OVER (
    ORDER BY total_spend DESC
) AS customer_rank
FROM customer_metrics;

🎯 Mission Objectives

Practice typing production-grade SQL code for End-to-End SQL Pipeline.

✓ End-to-end SQL transformation
✓ Deduplicate -> Validate -> Aggregate -> Rank
✓ Enterprise analytics engineering
✓ Final production SQL mastery

🚀 Start Mission

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