
Plataforma empresarial para operacionalizar soluciones de IA/ML a escala, con automatización, servicios gestionados y mejores prácticas. Utiliza Databricks, MLflow, Azure y herramientas de monitoreo para un desarrollo eficiente.

Explore Neuralake: a multimodal data lake for managing complex neural data. Learn about its Rust-based stack, real-time ingestion, and scalable architecture for efficient data access and retrieval.

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.

Explore Apache Spark 3.5's advancements: Spark Connect, DeepSpeed integration, performance optimizations, new PySpark and SQL features for enhanced big data processing and AI capabilities.

Data leaders discuss implementing generative AI, sharing real-world experiences, challenges, and strategies. Learn to bridge the gap from concept to deployment, break down data silos, and build a data culture embracing AI's transformative power.

Explore Delta Sharing's capabilities for secure, flexible data exchange across organizations, featuring real-world applications from Nasdaq and Health Catalyst to drive innovation and value.

Aprenda estratégias para otimizar custos e aumentar o retorno sobre investimento em big data, incluindo ferramentas de visibilidade, atribuição de custos e controles para evitar surpresas orçamentárias.

Discover strategies to optimize Databricks cluster management, reduce costs, and improve infrastructure efficiency. Learn from industry experiences and explore automated solutions for enhanced performance.

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 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.

Riot Games leverages data observability to ensure high-quality data for millions of gamers. Learn how they built a robust Databricks Lakehouse architecture and used Monte Carlo to scale data reliability efficiently.

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 Graphite: a unified app for querying content lifecycle data, offering real-time insights into revenue streams using Databricks technologies and natural language querying for transformative data interaction.

Simplify workloads with serverless compute on Databricks: eliminate cluster setups, enhance start times, optimize resources, and improve reliability while maximizing cost-efficiency and performance.

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 CDC's enhanced big data processing for public health visualizations, optimizing respiratory illness monitoring through efficient data management and accelerated insight delivery.

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.