FAANG SQL Interview Pattern #8 — Finding Duplicates * Deduplication in SQL

FAANG SQL Interview Pattern #7 — Moving Average (Sliding Window)

FAANG SQL Interview Pattern #6 — Pivoting & Conditional Aggregates

FAANG SQL Interview Pattern #5 — Retention and Cohort Analysis

FAANG SQL Interview Pattern #4 — Gaps & Island Pattern

FAANG SQL Interview Pattern #3 — Cumulative & Running Aggregates

FAANG SQL Interview Pattern #2 — Self Joins

FAANG SQL Interview Pattern #1 — Window Functions (RANK, DENSE_RANK, ROW_NUMBER)

DAG Dependencies: Fan-Out, Fan-In, and Sensors Explained | Essentials of D.E| Video #11

Change Data Capture (CDC) Fundamentals | Essentials of D.E| Video #10

Backfilling Historical Data | Essentials of D.E| Video #9

Exactly-Once Processing: Theory vs Reality | Essentials of D.E | Video #8

Data Partitioning Strategies Explained | Essentials of D.E| Video #7

Slowly Changing Dimensions (SCDs) Type 1, 2, and 3 — Explained Simply | Essentials of D.E| Video #6

Dead Letter Queues Explained — Where Bad Data Goes to Die | Essentials of D.E| Video #5

Schema Evolution: What Happens When Upstream Changes | Essentials of D.E| Video #4

Handling Late Arriving Data (The Watermark Problem) — Essentials of D.E | Video #3

Atomic Writes vs Eventual Consistency — Every Data Engineer Needs to Know This

Idempotency — The #1 Concept Every Data Engineer Needs to Know | Essentials of D.E| Video #1

Data Engineering System Design — The Complete Course (Zero to Senior)

Why Senior Data Engineers Fail the Modeling Round (And How to Fix It)