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Data-Driven Enterprises
Expert perspectives on data platforms, AI, and modern analytics from the Entrada team.
Recent Insights
Blog Post
The “Agent-Ready” Lakehouse: Bridging Data Modeling and Agentic AI
For most of the last decade, the goal of a data platform was simple: make the data available. Land it, govern it, and let the humans take it from there. That goal…
Blog Post
Mortgage Intelligence Platform: Building a Databricks-Native Lead Engine with Cotality, Genie, and Lakebase
Mortgage lenders sit on rich data across CRM, LOS, and servicing systems, yet still struggle to identify which borrowers are about to transact. Entrada's Mortgage Intelligence Platform addresses that gap with a…
Blog Post
Feature Store-Driven ML: Lessons from Real Deployments
After years of architecting ML platforms on Databricks, one pattern keeps repeating: the difference between a model that survives in production and one that quietly fails usually comes down to how features…
Blog Post
Governance Atlas: Databricks-Native Data Governance with Unity Catalog, Genie, and Lakebase
Every serious governance project eventually reaches the same uncomfortable moment: the platform has the metadata, but the organization still does not have a product. There is a catalog. There are tags. There…
Blog Post
Building an AI Billing Agent on Databricks: Anomaly Detection, Genie Analytics, and Governed Write-Back at Scale
Inside the Customer Billing Accelerator from Entrada and Databricks, an agentic AI stack that detects anomalies, answers finance questions in plain English, and writes back to source systems, all governed through Unity…
Blog Post
DataPact 3.0: Validation, Genie, and the discipline of a curated room
A field report on what changed between DataPact 2.9 and 3.0, why we put a managed Genie space at the centre of the release, and the engineering it takes to make a…
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…