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Data-Driven Enterprises
Expert perspectives on data platforms, AI, and modern analytics from the Entrada team.
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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…
Blog Post
From DAX Filters to Data Contracts: Migrating Power BI Security to Unity Catalog
The security review took longer than the migration itself. I was auditing a client’s Power BI environment: 47 static RLS roles, each with its own DAX filter expression, each maintained by a…
Blog Post
Containerizing the Lakehouse: The Role of Kubernetes in Modern Data Platforms
Data engineering teams spend enormous energy building reliable pipelines - clean medallion layers, solid transformation logic, well-tuned Spark jobs. Then something breaks in production that worked perfectly in development. A library version…
Blog Post
Advanced Unity Catalog Strategy: Multi-Cloud Federation
Imagine this scenario: a client has over 1,000 tables in an on-premise data warehouse. Some tables are extremely wide, with up to 500 columns, and contain millions of records. If any of…