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2026
Databricks SQL Analytics Without the Spark Complexity
Databricks SQL provides a SQL-first analytics experience on top of the Lakehouse, powered by dedicated SQL warehouses optimized for BI and reporting.
Designing a Data Lakehouse on GCP with BigLake
Unify your data lake and warehouse with BigLake. Query Parquet and ORC files in Cloud Storage directly from BigQuery with fine-grained access control.
Grafana Dashboards for Data Platform Health — What to Build First
Build actionable Grafana dashboards for data platforms. Pipeline latency, data freshness, error rates, and cost tracking visualizations.
Observability for Data Pipelines — Grafana, OpenTelemetry, and What to Measure
Implement observability for data pipelines using OpenTelemetry traces, Prometheus metrics, and Grafana dashboards. Know what to measure and alert on.
CI/CD for Data Pipelines — From Git Push to Production
Automate data pipeline deployments with GitHub Actions. Testing strategies, dbt CI, Terraform integration, and rollback patterns.
Amazon EKS for Data Workloads — A GCP Engineer's Perspective
Navigating EKS coming from GKE. Key differences in IAM, networking, and managed add-ons for running data workloads on AWS Kubernetes.