
Explore Delta kernel rust's integration with DuckDB, enhancing Delta support in third-party connectors. Learn about architecture, implementation, and performance through demos and benchmarks.

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.

Explore Databricks Asset Bundles for seamless project development, from inner to outer loops. Learn workflow authoring and productionization using Github Actions and Azure Pipelines, adhering to DevOps best practices.

Discover effective strategies for unit testing streaming jobs, addressing challenges like long-running processes and third-party dependencies to improve data quality and code reliability.

Explore Databricks' foundational models like DBRX, their capabilities, and applications. Learn to leverage these models for enhanced data analytics and machine learning projects across industries.

Explore ultra low-latency data processing advancements, new stateful processing capabilities, and the future of streaming pipelines. Learn how to deliver real-time data for top AI use cases across industries.

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.

Learn strategies for migrating from Snowflake to Databricks, including methodology, technical approaches, automation tools, and best practices. Gain insights from real-world case studies on data, ELT pipeline, and warehouse migration.

Explore Databricks' journey in building a Metric Store, solving data inconsistencies, and unlocking advanced analytics capabilities for unified, forecasted, and explainable metrics across the organization.

Explore AI21 Labs' Jamba: a groundbreaking hybrid Transformer-Mamba MoE model with unparalleled throughput and a 256K context window, revolutionizing large language model development.

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.

Efficient scaling of RAG systems using Spark NLP: pre-processing, embedding calculation, post-processing, and integration with LangChain and HayStack for production-grade LLM systems.

Explore how Bradesco leveraged GenAI to revolutionize processes, enhance customer experiences, and achieve operational efficiency gains while maintaining governance and security through a lakehouse architecture.

Explore the journey of Accelerated AI, from sophisticated models to practical business applications. Learn strategies for data quality, feedback loops, and model refinement to drive innovation and growth.

Discover how to scale MLOps for high-frequency retraining of 50k models weekly using Databricks, MLflow, and Pandas UDFs. Learn best practices for experiment tracking, code consistency, and handling data volatility at scale.

Explore Mosaic AI's tools for streamlining GenAI application development, deployment, and management. Learn best practices for efficient AI project creation on a secure Data Intelligence platform.

Explore innovative data architecture solutions combining Medallion and Data Mesh patterns to enhance productivity, democratize data access, and ensure scalable, efficient data management in large organizations.

Explore secure AI model sharing across organizations, accelerating training and deployment. Learn about Delta Sharing, Databricks Marketplace, and best practices from healthcare AI leader John Snow Labs.

Discover how a financial company implemented RAG to enhance customer service, exploring architecture, data pipelines, innovations, and optimization strategies for transforming operations with Generative AI.

Explore Meta's open-source Llama ecosystem for building cutting-edge generative AI at scale, including latest models, access methods, safety components, and future possibilities.