The Context: Centers of Excellence and Data StrategyThree Models for Data Catalog OwnershipOption 1: Decentralized OwnershipOption 2: Centralized Creation by Platform TeamOption 3: Hybrid Model with D...
Introduction In the rapidly evolving financial service industry, the ability to efficiently handle customer interactions is paramount. The call center, often the first point of contact for customers, ...
At this past year’s Data and AI Summit we launched an event focused chatbot called Brickbot. When we conceived the project, we had high ambitions of an intelligent and omniscient multimodal agent that...
This is part 2 of a two-part series on Structured Extraction with LLM on Databricks. Read here for part 1! Introduction In part 1 of this series, I demonstrated how to use a large language model (LL...
This blog talks about common ways in which Hive-style partitioning is used as a workaround for efficient data storage. Liquid Clustering improves partitioning and zorder techniques by simplifying data...
This is part 1 of a two-part series on Structured Extraction with LLM on Databricks. Read here for part 2! What is structured extraction? Structured extraction, sometimes referred to as “key info...
Throughout the dozens of engagements I’ve had since joining Databricks, I’ve found that customers often struggle to understand the scope and concept of Unity Catalog. Questions like “Does it store my ...
Introduction This article is a must-read if you manage data and analytics with Databricks on AWS, Power BI, and Microsoft Entra ID. Integrating Databricks on AWS with Power BI through Single Sign-On ...
This is a summary of the blog: https://lnkd.in/dArDi-Cf The blog provides a comprehensive guide to building an image inpainting application, focusing on filling or reconstructing missing or undesired ...
Authors: Malay Panigrahi and Nikhil Chandna Organisations increasingly rely on data to fuel their decisions and gain a competitive edge. However, as the volume and complexity of data grow, so do the c...
