Iceberg
Apache Iceberg v3: What's New?
A deep dive into everything new in Apache Iceberg format version 3 — from the Variant type and nanosecond timestamps to deletion vectors, row lineage, geospatial types, and table-level encryption.
11 min read
Iceberg
Building a Multi-Engine Iceberg Lakehouse with QueryFlux
How to use QueryFlux as the SQL routing layer in front of Trino, DuckDB, and StarRocks — giving every client one endpoint while each query lands on the right Iceberg engine automatically.
11 min read
Lakehouse
dbt Incremental Models That Actually Scale
Incremental models promise fast builds, but most teams hit correctness bugs within weeks. Here is how to build dbt incrementals that stay correct through late data and schema changes.
10 min read
Streaming
Real-Time CDC with Debezium and Kafka
Build a production CDC pipeline from PostgreSQL to Kafka using Debezium with log-based capture, schema registry, exactly-once delivery, and zero-downtime snapshots.
12 min read
Platform
Snowflake Cost Optimization Without Slowing Teams Down
A practical playbook for reducing Snowflake compute waste by 30-50% while protecting delivery speed and analyst productivity with governance guardrails.
11 min read
Quality
Data Quality Contracts with dbt and Soda
How to implement enforceable data contracts between producers and consumers using dbt model contracts, Soda anomaly detection, and CI/CD gates that block bad data before it reaches production.
11 min read
Orchestration
Migrating from Airflow to Dagster: A Practical Guide
A step-by-step migration path from Apache Airflow's task-centric model to Dagster's asset-based approach, covering code translation, testing patterns, and a realistic timeline.
11 min read
Lakehouse
Medallion Architecture: Bronze, Silver, Gold Done Right
The medallion architecture is everywhere, but most implementations get the layer boundaries wrong. Here is how to design bronze, silver, and gold tiers that actually scale.
11 min read
Platform
Terraform for Your Data Platform: Infrastructure as Code
Managing Snowflake warehouses, AWS S3 buckets, and IAM roles with Terraform — from provider setup and remote state to CI/CD pipelines that plan on PR and apply on merge.
11 min read
Platform
PySpark Performance Tuning: From 4 Hours to 20 Minutes
Practical PySpark optimizations that reduced a production pipeline from 4 hours to 20 minutes — covering data skew, broadcast joins, partition sizing, and AQE.
11 min read
Streaming
Event-Driven Data Architecture with Kafka
How to design Kafka topic hierarchies, schema evolution strategies, and consumer patterns that scale to thousands of events per second reliably.
10 min read
Quality
Data Pipeline Observability: From Alerts to Root Cause
Building observability into data pipelines for fast incident detection and root cause analysis — covering freshness, volume, schema, distribution, and lineage.
11 min read