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Data-Driven Enterprises
Expert perspectives on data platforms, AI, and modern analytics from the Entrada team.
Recent Insights
Blog Post
From Cost Visibility to Action: Scaling FinOps Intelligence with Databricks System Tables and Genie
This post walks through the architecture Entrada built around that observation, the Serverless Cost Control Accelerator, and, more importantly, the design principles behind it. Regardless os whether we’re a platform engineer, SRE,…
Blog Post
Building Secure, AI-Ready Medical Research Platforms on Databricks
Research organizations need faster, more reliable ways to prepare sensitive data for analysis without loosening their grip on governance and privacy. Across the medical research platforms we've built on Databricks, the same…
Blog Post
Lakebase: The Death of the Siloed Application Database
Every enterprise manages two separate, expensive database systems: OLTP for real-time transactions and OLAP for analytics. The pipeline connecting them is the most fragile thing in the entire stack. Databricks’ Lakebase makes…
Blog Post
Serverless by Workload Shape: Entrada’s Databricks Playbook for Real Price/Performance
Databricks is directionally right to push serverless. Its current guidance recommends serverless for supported workloads because it is the simplest, most reliable option for notebooks, jobs, and Lakeflow Spark Declarative Pipelines, and…
Blog Post
Fraud Detection at Scale: What It Really Takes
Fraud detection at scale is not just about catching suspicious activity faster. It is about building the data, AI, and governance foundation needed to detect risk reliably, explain decisions, and stay cost-efficient.
Blog Post
Monitoring ML Models in Production with Databricks
Most ML models do not break in development. They break quietly in production, when data changes, performance drifts, and no one notices until business trust is already slipping. That is why monitoring…
Blog Post
True CI/CD for the Lakehouse: Infrastructure as Code (IaC) & DABs
There is a conversation I have had more times than I can count. A client tells me their team "already has CI/CD." When I ask them to walk me through it, the…
Blog Post
The Next Generation Data Governance Experience In Databricks
At Entrada, we spend a lot of time in environments where the governance conversation sounds the same. The client already has Databricks. They already have Unity Catalog. They already have tables, schemas,…
Blog Post
Hidden Compute Costs in Enterprise Migrations: Why Execution Model Matters
Your Databricks migration pipeline is likely paying more for cluster lifecycle overhead than for actual data processing. That hidden penalty - the latency tax - emerges when every notebook invocation spins up…