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Mohamed Hussain S

Exploring OLAP DBs like ClickHouse & building data infra with Airflow, Docker & PostgreSQL.

Work

Associate Data Engineer @ Quantrail Data Chennai, India

When Synthetic Data Lies: A Hidden Correlation Problem I Didn’t Expect
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When Synthetic Data Lies: A Hidden Correlation Problem I Didn’t Expect

3
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3 min read

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How ClickHouse + Superset Work Together for Analytics (And What Actually Matters)
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How ClickHouse + Superset Work Together for Analytics (And What Actually Matters)

2
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4 min read
Managing Large PostgreSQL Tables with Native Partitioning and pg_partman
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Managing Large PostgreSQL Tables with Native Partitioning and pg_partman

2
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3 min read
PostgreSQL Backups and Point-in-Time Recovery with pgBackRest
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PostgreSQL Backups and Point-in-Time Recovery with pgBackRest

3
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4 min read
How Debezium Uses PostgreSQL WAL for Change Data Capture
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How Debezium Uses PostgreSQL WAL for Change Data Capture

2
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4 min read
How PostgreSQL WAL Actually Works (And Why Everything Depends On It)
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How PostgreSQL WAL Actually Works (And Why Everything Depends On It)

2
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4 min read
Why 'FINAL' in ClickHouse Is Usually a Design Smell
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Why 'FINAL' in ClickHouse Is Usually a Design Smell

2
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3 min read
Two ClickHouse Internals That Change How You Write Queries
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Two ClickHouse Internals That Change How You Write Queries

2
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4 min read
Understanding Change Data Capture with Debezium
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Understanding Change Data Capture with Debezium

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4 min read
Apache Iceberg Explained: From Data Lakes to Metadata, Snapshots, and Real-World Usage
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Apache Iceberg Explained: From Data Lakes to Metadata, Snapshots, and Real-World Usage

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4 min read
Analyzing and Optimizing a Parquet ClickHouse Ingestion Pipeline
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Analyzing and Optimizing a Parquet ClickHouse Ingestion Pipeline

3
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3 min read
Clean Code in ETL:How Python, Go, and SQL Each Teach You to Think Differently
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Clean Code in ETL:How Python, Go, and SQL Each Teach You to Think Differently

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3 min read
Why Parquet Is Everywhere - And What Makes It Actually Fast?
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Why Parquet Is Everywhere - And What Makes It Actually Fast?

2
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3 min read
🐝 Why Hive Exists - And Why Its Complexity Is Actually Necessary
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🐝 Why Hive Exists - And Why Its Complexity Is Actually Necessary

2
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3 min read
Polyglot Data Engineering: Python + Go in the Same Pipeline
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Polyglot Data Engineering: Python + Go in the Same Pipeline

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2 min read
Scaling Databases with ClickHouse Sharding (Hands-On Simulation)
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Scaling Databases with ClickHouse Sharding (Hands-On Simulation)

2
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2 min read
From Python to ClickHouse: Parquet ETL with Go
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From Python to ClickHouse: Parquet ETL with Go

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2 min read
⚡ 3 ClickHouse Query Optimization Lessons I Learned the Hard Way
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⚡ 3 ClickHouse Query Optimization Lessons I Learned the Hard Way

6
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3 min read
🧠 From Hive and Elastic to ClickHouse: What Surprised Me
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🧠 From Hive and Elastic to ClickHouse: What Surprised Me

2
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3 min read
⚡ Kafka ClickHouse: Real-Time Data Pipeline for Beginners
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⚡ Kafka ClickHouse: Real-Time Data Pipeline for Beginners

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2 min read
Extracting System Metrics from ClickHouse Using Airflow & Docker
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Extracting System Metrics from ClickHouse Using Airflow & Docker

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3 min read
My First Data Pipeline Project Using Airflow, Docker & Postgres (COVID API Edition)
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My First Data Pipeline Project Using Airflow, Docker & Postgres (COVID API Edition)

6
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2 min read
Why ClickHouse is a Game-Changer for OLAP: Speed, Architecture, Pros & Cons
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Why ClickHouse is a Game-Changer for OLAP: Speed, Architecture, Pros & Cons

4
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2 min read
Building My First Real-Time Dashboard with ClickHouse and Streamlit: TrendLite Breakdown
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Building My First Real-Time Dashboard with ClickHouse and Streamlit: TrendLite Breakdown

4
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2 min read
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