Community-produced videos to help you leverage Databricks in your Data & AI journey. Tune in to explore industry trends and real-world use cases from leading data practitioners.
In this video, John Ward, a Senior Solutions Architect at Databricks, will go over the Data Intelligence Platform. Databricks is a leading Data and AI company that provides a unified, standardized platform for data engineering, data science, and machine learning. It is known for its Lakehouse Platform, Data Lake + Data Warehouse, which unifies data, analytics, and AI. This platform allows data teams to collaborate effectively and simplifies machine learning. Databricks is the creator of highly successful open-source data projects such as Delta Lake, Apache Spark, and MLflow. As for generative AI, Databricks has been investing significantly in this area. They have introduced new generative AI tools that allow customers to easily and efficiently develop generative AI applications, including large language models (LLMs), directly within the Databricks Data Intelligence Platform. The demand for generative AI drives disruption across industries, creating urgency for technical teams to build generative AI models and LLMs on top of their own data to differentiate their offerings. Databricks' data-centric approach to AI makes building, deploying, and managing large language model (LLM) applications easier, enabling customers to accelerate their generative AI journey. Databricks offers two main levels of admin privileges: Account admins and Workspace admins. Account admins manage the Databricks account, including workspace creation, user management, cloud resources, and account usage monitoring. Workspace admins, on the other hand, manage workspace identities, access control, settings, and features for individual workspaces in the account.