This article describes how Databricks eliminates organizational silos in financial services institutions by providing a unified data platform for collaboration across clients, operations, and finance teams.

Platform

Solutions

Databricks

61 min read

Data Engineering•2026-04-08

Collaborative Analytics on Databricks

This post demonstrates how Databricks' unified Data Intelligence Platform enables cross-team collaboration in financial institutions through governed analytics and AI-powered workflows.

A multi-agent approach to audience intelligence

This post introduces an AI-powered audience segmentation solution built on Databricks that uses a multi-agent architecture to bridge the gap between advertising strategy and data execution.

How Addepar Scales Investment Workflows with Databricks AI Agents

This post explains how Addepar, a financial technology platform managing nearly $9 trillion in assets, built a scalable AI agent system called Addison using Databricks on AWS.

Data Engineering•2026-04-02

Announcing General Availability and Open Sourcing of Unity Catalog Business Semantics

Databricks announces the General Availability of Unity Catalog Business Semantics, an open and unified semantic layer for defining business metrics consistently across BI dashboards, developer workflows, and AI agents.

Architecture•2026-03-30

How agentic software development will change databases

This post examines how AI-driven agentic software development is transforming database requirements, using Databricks' Lakebase as a case study.

Data Engineering•2026-03-27

Protect Performance and Reduce Surprise Costs with Default Warehouse

Databricks SQL introduces Default Warehouse, a generally available feature allowing admins to control which SQL warehouse is automatically selected for ad hoc queries.

Zero-Downtime Patching in Lakebase Part 1: Prewarming

This post explains how Lakebase eliminates performance degradation during planned database maintenance using a prewarming technique.

Data Engineering•2026-03-25

Building an A/B testing analysis framework for mobile gaming on Databricks

This article describes how HARDlight built a Databricks-native A/B testing analysis framework to automate and standardize mobile game experimentation at scale.

Data Engineering•2026-03-24

Stop Hand-Coding Change Data Capture Pipelines

This post introduces AutoCDC in Lakeflow Spark Declarative Pipelines as a declarative alternative to hand-coded Change Data Capture and Slowly Changing Dimension pipelines.

Databricks Announces Lakewatch: New Open, Agentic SIEM

Databricks announces Lakewatch, an open, agentic SIEM built on lakehouse architecture to counter AI-driven cyberattacks at machine scale.

Agentic AI Security: New Risks and Controls in the Databricks AI Security Framework (DASF v3.0)

Databricks releases DASF v3.0, extending its AI Security Framework with 35 new risks and 6 controls specifically targeting agentic AI systems.

Data Engineering•2026-03-18

What’s New in Azure Databricks at FabCon 2026: Lakebase, Lakeflow, and Genie

This post covers new Azure Databricks capabilities announced at FabCon 2026, including Lakebase, Lakeflow Connect Free Tier, and Genie enhancements.

Data Engineering•2026-03-16

How Delta Sharing Supports ABAC Sharing for Providers and Recipients

Delta Sharing now supports Attribute-Based Access Control (ABAC), allowing providers to share governed tables directly without creating separate copies per recipient.

Ship quality enterprise AI agents to business users with Agent Bricks and Databricks Apps

This post walks through shipping enterprise-grade AI agents to business users using the Databricks Platform.

Data Engineering•2026-03-16

Develop and deploy Serverless JARs

Databricks introduces Serverless JARs, enabling teams to run Scala and Java Spark jobs on fully managed serverless compute with instant startup and no cluster management.

Data Engineering•2026-03-13

Serverless Workspaces in Azure Databricks is now Generally Available

Azure Databricks Serverless Workspaces are now generally available on Azure, enabling teams to create fully managed workspaces without any infrastructure setup.

Data Engineering•2026-03-12

10 Data Warehouse Migration Myths Blocking AI-readiness (and Your Blueprint for Seamless Modernization)

This post addresses 10 common myths about data warehouse migration and presents Databricks' structured framework for AI-ready modernization.

Data Engineering•2026-03-12

The Evolution of Data Engineering: How Serverless Compute is Transforming Notebooks, Lakeflow Jobs, and Spark Declarative Pipelines

This article covers how Databricks serverless compute is transforming data engineering by removing infrastructure management burdens across Notebooks, Lakeflow Jobs, and Spark Declarative Pipelines.

Mitigating The Risk of Prompt Injection for AI Agents on Databricks

This post explains how to mitigate prompt injection risks for AI agents on Databricks using the Agents Rule of Two framework.

Platform

Security and Trust