
Explore how 84.51/Kroger adopted a federated data mesh approach using Alation and Unity Catalog, enabling self-service analytics and empowering data scientists while maintaining governance and security.

Discover data governance essentials and Unity Catalog's role in simplifying management for lakehouse analytics and AI initiatives. Learn key requirements and best practices.

Explore Unity Catalog's latest features for unified data and AI governance, including enhanced filtering, Governed Tags, ABAC, and automated lineage, with live demos and expert insights.

Explore building resilient Python apps on Databricks, focusing on failure recovery, rate limits, logging, and authentication. Learn from UCX project for Unity Catalog migration and automated code fixes.

Discover how Databricks Lakehouse Monitoring enhances data pipeline and ML model oversight, ensuring quality and governance for a self-serve data platform through continuous assessment and intelligent issue prevention.

Explore advanced access control in Databricks Unity Catalog: ABAC, RBAC, row filtering, and column masking for scalable, fine-grained data security and compliance management.

Explore PepsiCo's data revolution using Unity Catalog, enhancing security, governance, and efficiency. Learn how this global platform streamlines data processes across multiple digital products and business units.

Explore Databricks' new native ingestion connectors for SaaS apps, databases, and file sources. Learn about auto-optimized, low-maintenance solutions integrated with Data Intelligence Platform features.

Implementación de un modelo de gestión de datos conforme a regulaciones en el sector financiero, utilizando Databricks y AWS para automatizar el acceso y permisos basados en el principio de necesidad.

Explore Inari's journey in adopting Databricks, implementing Delta Live Tables, and leveraging Unity Catalog for efficient data management in sustainable agriculture.

Providence's Unity Catalog implementation journey: optimizing governance, consolidating workspaces, and centralizing data for improved intelligence, sharing, and GenAI support in healthcare.

Discover how to access, query, and govern data from multiple sources using Lakehouse Federation and Unity Catalog, enabling seamless data integration and governance for analytics and AI.

Explore CNHi's data governance transformation using Databricks Unity Catalog, enabling centralized management, policy enforcement, and improved data access for 50,000 employees across six regions.

Unilever's Blueprint framework revolutionizes Lakehouse management, enhancing self-service engineering, reusability, and operational transparency while serving 3,000+ users and significantly boosting development speed.

Discover Unity Catalog Volumes for managing diverse data formats, enabling scalable file-based applications with unified governance and versatile APIs for AI and ingestion use cases.

Discover how to fine-tune LLMs for your business needs, leveraging Databricks' Mosaic AI capabilities to create personalized models with improved speed, cost-efficiency, and data privacy.

Adidas revolutionizes data management with Unity Catalog, unifying governance, cataloging assets, and driving innovation. Learn best practices, challenges, and future plans for scaling data initiatives.

Explore a leading European retailer's transition to Unity Catalog, addressing challenges and strategies for large-scale migration while maintaining operational continuity and enhancing data governance.

Discover Atlassian's innovative data lakehouse redesign, exploring account structures, workbench environments, Unity Catalog integration, and declarative approaches for enhanced data management and ML governance.

Discover how Diageo leveraged Databricks' Unity Catalog to centralize data, implement a lakehouse architecture, and unlock new opportunities in their data roadmap, including simplified hub-and-spoke model implementation.

Explore GPU hardware's role in generative AI, AMD's advancements, and Databricks' solutions for scalable model training, deployment, and governance while ensuring data privacy and cost-effectiveness.