Insights

Covering the most crucial business developments in your industry, so you stay competitive.

Insights Hub Hero Background

Featured Stories

How healthcare organizations turn lakehouse data into a strategic asset

How payers, providers and life sciences firms use governed data products, in-pipeline de-identification and Delta Sharing to turn lakehouse data into a reusable healthcare asset.

A practical guide to PySpark and Databricks Connect for data engineers

A practical look at how data engineers split PySpark work between notebooks, Databricks Connect and local Spark, with runtime pinning, IDE setup and common mistakes.

8 tactics that keep parallel AI agents on spec and out of rework

Eight practical controls for keeping parallel AI coding agents aligned, from shared specs and scoped context packs to guardrails, contract tests and review gates.

Lumenalta is now a Databricks Delivery Partner (DPP)

Lumenalta®has joined the Databricks Delivery Partner Program (DPP), allowing Lumenalta®delivery teams to work alongside Databricks Professional Services on enterprise data, analytics, and AI engagements on the Databricks Data + AI Platform.

How Lakehouse Federation reduces data movement across Snowflake, BigQuery, and operational systems

A practical guide to using lakehouse federation across Snowflake, BigQuery, and operational databases, with clear criteria for access, governance, migration, and performance.

How human-in-the-loop design reduces risk in high-stakes AI agent workflows

This piece explains how human review boundaries, risk tiers, guardrails, approval context, and audit trails reduce risk in high-consequence AI agent workflows.

AutoML in the enterprise machine learning workflow

This guide explains what AutoML does in enterprise machine learning, where it speeds baseline work, and where custom modeling and governance still need expert judgment.

View our teams latest case studies

Highly-skilled talent for every industry

Trust-Forward. Industry Informed. Tech-Led.