· MLOps
Monitoring Model Drift in Production: A Practical Guide
Models degrade over time. Learn strategies to detect data drift and concept drift before they impact your business ROI.
Knowledge Hub
Industry insights, technical deep dives, and expert perspectives on Data, Cloud, and AI.
Why the Modern Data Stack is More Than Just Tools
Fivetran, dbt, and Snowflake are great, but buying them doesn't make you modern. We explore the mindset shift required for the Modern Data Stack.
Making Pipelines Unbreakable: The Power of Idempotency
If your pipeline crashes halfway through, can you just restart it? If not, you have a problem. We explain why Idempotency is the golden rule of Data Engineering.
Security Best Practices for Hybrid Cloud Architectures on GCP
Connecting on-prem to cloud expands your attack surface. Learn how to secure your hybrid network with interconnects, VPC controls, and Zero Trust.
Surviving the Shift: Handling Schema Evolution in Production
Data changes. Columns are added, types are modified. If your pipeline can't handle this, it's brittle. Here is how to handle Schema Evolution gracefully.
The Strategic Guide to Migrating Hadoop to Google Cloud Dataproc
Don't just lift and shift. We explain how to modernise your legacy Hadoop clusters by migrating to managed Dataproc services on Google Cloud for scalability and cost efficiency.
