As organizations ingest data from hundreds of systems, pipeline management quickly becomes complex. Discover how metadata-driven ingestion frameworks bring scalability, governance, and flexibility to modern lakehouse architectures.

A hands-on walkthrough of analytics engineering with dbt on Databricks SQL. Covers key dbt project files, model layering strategy, folder and naming conventions, documentation and YAML patterns, and materialization decision-making—built from real project experience.

This blog shares real-world experience using dbt with Databricks SQL to transform raw data into analytics-ready datasets, covering analytics engineering fundamentals, governance, and scalable practices that improve data quality, speed, and confidence in business decisions.

Azure Databricks Standard Tier End of Life: What You Need to Know (and Do Next) Azure Databricks Standard Tier is officially reaching end of life, and this change is more than just a pricing update. It marks a strategic shift toward stronger governance, security, and AI-ready capabilities across the Databricks platform. This blog explains what the Standard Tier EOL means, the key timelines to be aware of, and how to prepare for the move to Premium Tier without disruption. It

The Model Context Protocol (MCP) redefines how AI systems connect to tools and data. Learn how MCP simplifies integrations, enhances scalability, and builds a universal standard for AI connectivity.

Dive into our latest insights on AI guardrails and their vital role in transforming your organization’s AI policies into actionable practices. Equip your business with an AI gateway layer for maximum impact!

Learn how to design accurate and efficient incremental data ingestion pipelines with checkpoints, deduplication, and validation best practices.

Databricks recently introduced Agent Bricks, a new framework designed to simplify the creation of enterprise-grade AI agents. In this blog, our CTO Hitesh Sahni shares a hands-on look at how Agent Bricks works, the use cases it supports, and a live demo of building a Knowledge Assistant with real enterprise data. Discover what problems Agent Bricks solves — and where its current limitations lie.