
Accelerate digital transformation with unified data and AI governance using Unity Catalog. Learn how to manage platform objects, remove barriers, and achieve AI ambitions at enterprise scale.

Learn to create production-ready, high-quality data products using Databricks. Explore lifecycle requirements, challenges, and best practices to establish a trustworthy foundation for AI and data-driven initiatives.

Explore Databricks' Lakehouse Observability approach, integrating tools for monitoring and optimizing data and AI workflows to support scalable, data-driven applications.

Explore latest Databricks Workflows features: enhanced orchestration, run repairs, control flow, scheduling, and Python authoring. Live demos showcase innovations for ETL, analytics, and ML pipeline management.

Explore interoperability between Databricks and AWS for generative AI, covering intelligent document processing, real-time and batch processing patterns, and a live demo of end-to-end offerings.

Explore Tableau's innovations for Lakehouse analysis, including Delta Sharing connector and AI-driven insights. Learn about secure data visualization and future developments in this expert-led session.

Explore key enhancements in Apache Spark 4.0: Spark Connect, Structured Logging, PySpark updates, expanded SQL capabilities, improved connectivity, and real-time data processing advancements for optimized analytics.

Explore recent MLflow features, including GenAI additions, and learn how to optimize machine learning workflows with practical examples and best practices for implementation.

Explore Text-to-SQL implementation in large enterprises, focusing on model selection, fine-tuning, and performance optimization for accurate natural language querying in business intelligence contexts.

Discover how Comcast leverages Unity Catalog for robust data governance, enabling fine-grained access control, data lineage, and improved collaboration across teams while maintaining agility.

Explore enterprise-grade GenAI app development using MLflow and Vector Search, focusing on data protection, AI deployment challenges, and leveraging proprietary information securely with Databricks tools.

Explore the synergy between Domo and Databricks, unlocking data interoperability and accelerating business intelligence through scalable data processing and AI/ML capabilities.

Discover key learnings from Asana's journey in developing and deploying machine learning features for millions of users, covering modeling, monitoring, scaling, and leveraging Databricks for data science solutions.

Explore how a modern healthcare data lakehouse integrates diverse data sources, leveraging AI and orchestration for improved patient care, risk management, and clinical decision support.

Explore 84.51°'s implementation of Databricks Unity Catalog, enhancing data governance, domain design, and composable architecture for Kroger's retail data science initiatives.

Explore building GenAI data pipelines using PyAirbyte and ELTP framework. Learn efficient data sourcing, prototype-to-production steps, and strategies for managing LLM documents in the GenAI era.

Discover how IAS modernized data pipelines using Databricks, migrating from Airflow to Workflows, implementing Data Mesh, and leveraging Unity Catalog for seamless data sharing and improved decision-making.

Learn to implement, scale, and manage GenAI applications using Databricks, MosaicAI, and MLRun. Explore MLOps best practices, CI/CD automation, and GPU optimization for enterprise-level AI deployment.

Explore Databricks' latest security features for protecting sensitive data, including best practices for configuring DBSQL Serverless, Unity Catalog, and Mosaic AI at enterprise scale.

Explore enterprise-grade RAG solutions with Databricks, featuring Unity Catalog integration, security measures, and seamless Microsoft Copilot integration for enhanced data value extraction.

Optimize data pipelines using Delta Lake features on Databricks. Learn techniques to address read-write amplification, improve performance, and reduce costs in large-scale data processing.