Explore in-depth articles, tutorials, and insights on data analytics and machine learning in the Databricks Technical Blog. Stay updated on industry trends, best practices, and advanced techniques.
Introduction
LLM-powered apps have two costs that compound fast: every request costs money, and users ask the same question in many ways. "How do I reset my password?", "I need to reset my password", ...
Delta Lake has become the foundation of modern data lakehouses. Organizations worldwide rely on it to bring ACID transactions, schema enforcement, and time travel capabilities to their data lakes. Yet...
If you've worked with Delta Lake at scale, you've encountered this: your MERGE operation that once completed in seconds now takes minutes or hours, as your table grows.
The culprit? Without optimizati...
Introduction
Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) have made it possible to have natural-language conversations with data, and for many use cases, this is a genuine ...
The Use Case
Data quality questions are everywhere in a data team's day. Is this table stale? Did any pipeline fail last night? Why does this dashboard look off? How did we fix this last time? The ans...
Django and Databricks Apps
Did you know that you can run Django on Databricks Apps? If you’re a Django developer looking for a simple way to host your apps and bring them closer to your data, you've f...
Unlock the power of your enterprise data with Databricks Agent Bricks!​ Discover how intelligent multi-agent frameworks are transforming industries like finance and healthcare by enabling natural lang...
Introduction
Azure Databricks users often need to access on-premises resources, such as databases, that reside in their corporate networks. In most cases, the right network path, like ExpressRoute or ...
Introduction
If you have spent any time working with enterprise data, you know the struggle: your Lakehouse holds the ground truth, but business stakeholders live in Excel. Until now, bridging that ga...
Every data warehouse has the same foundational problem: keeping dimension tables in sync with operational systems. Customer records change. Orders get updated. Accounts get closed. Getting those chang...