Insights in Software, Data, and AI

Learn data-centric software architecture patterns to build reliable, scalable data platforms-governance, quality, pipelines, and common...

Why data teams need automated testing: catch silent data pipeline failures, improve data quality, and build trust in analytics.

Streaming vs batch processing: learn key differences, real-world use cases, and how to choose the right data architecture for latency, cost, and scale

Is the data lakehouse hype or the future? Learn how lakehouse architecture blends data lakes and data warehouses with Delta Lake, Iceberg...

Learn how Trino runs fast federated SQL queries across Snowflake, S3/Iceberg, and PostgreSQL-join data in place without moving it.

Learn how Apache Flink and Amazon Kinesis Data Streams power streaming at scale with exactly-once processing and reliable AWS pipelines.

Build modern data governance and end-to-end data lineage with DataHub + OpenLineage-automate metadata, boost trust, and trace changes fast.

Scale your data platform with Terraform IaC-automate AWS/Azure/GCP infrastructure, cut drift, and ship faster with repeatable environments.

Redis and TimescaleDB for real-time data: compare performance, architecture, and best use cases for low-latency apps and analytics.