Data Vault 2.0 Explained: Hubs, Links and Satellites in SQL
A hands-on Data Vault 2.0 guide: hubs, links and satellites, hash keys and hashdiffs, SQL load patterns, PIT and bridge tables, and common pitfalls.
BigQuery Partitioning vs Clustering: Cut Query Cost and Time
A hands-on guide to BigQuery partitioning and clustering: when to use each, DDL and SQL examples, pruning rules, INFORMATION_SCHEMA checks and common pitfalls.
dbt Data Quality Testing: Generic, Singular and Unit Tests
A practical guide to dbt data quality testing: generic and singular data tests, unit tests for model logic, severity thresholds, stored failures and CI setup.
Fixing Data Skew in Apache Spark: AQE, Salting and Broadcasts
Learn how to detect and fix data skew in Apache Spark using Adaptive Query Execution, broadcast joins, hot-key isolation and salting, with PySpark examples.
What’s New in Snowflake in 2026: Summit Highlights and Autumn Updates for Data Engineers
Iceberg v3, Openflow, Snowflake Postgres mirroring, smarter Dynamic Tables, CoWork and CoCo: the Snowflake features that matter for data engineers in 2026, with GA vs preview status and a practical checklist.
Incremental Pipelines in Snowflake: Dynamic Tables vs Streams & Tasks (Hands-On)
Build the same incremental pipeline two ways in Snowflake, with Streams & Tasks and with Dynamic Tables. Full SQL, monitoring queries, 2026 updates and a clear guide to which one to use.
Snowflake Cost Optimization: A Practical Playbook with SQL
Find where your Snowflake credits go and cut them: auto-suspend, right-sizing, resource monitors, query tuning, storage trimming and AI quotas, with ready-to-run SQL and a 30-minute monthly review.
Posted inAI Big data Microsoft Fabric
Microsoft Fabric in 2026: The Latest Features and Who Is Using It
Everything Microsoft shipped for Fabric at FabCon Europe 2026: Fabric IQ in Copilot, Runtime 2.0, a data engineering agent, BigQuery mirroring, F0 capacity and more, with GA vs preview status, real customer results and a practical checklist.
Posted inAzure Microsoft Fabric
Confluent Kafka to Microsoft Fabric
Build real-time pipelines from Confluent Kafka to Microsoft Fabric: architecture, security, governance, implementation steps and monitoring.
Posted inAI Azure Microsoft Fabric
Microsoft Fabric Data Engineering
The complete guide to Microsoft Fabric data engineering: OneLake, lakehouses, Spark, pipelines and architecture best practices, updated for 2026.