
Explore declarative, asset-oriented orchestration in data pipelines. Learn how this approach simplifies tasks, ensures data integrity, and implements Data Mesh as a living asset graph.

Explore Data Mesh principles for decentralized data management, empowering teams and ensuring data quality across organizations. Learn implementation on GCP and Databricks.

Explore the paradigm shift in data architecture, from traditional databases to modern Data Mesh, and learn its decentralized approach and guiding principles.

Explore designing and implementing a self-service observability platform for cross-data insights. Learn key considerations, strategies, and best practices for successful adoption and value delivery.

Discover how BigQuery and BigLake power innovative data analytics and AI/ML solutions at scale. Learn from Google Cloud experts and real-world customer experiences at Trendyol and Snap.

Explore how data platforms impact AI and ML applications, covering foundations, design patterns, data quality, and team structures for effective ML implementation.

Organizational framework for scaling data teams efficiently, focusing on role clarity, centralization vs. decentralization, data as products, governance, and leveraging Databricks for unified analytics.

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.

Zalando's journey transforming multi-petabyte data platforms: challenges, strategies, and lessons learned in migrating to modern data-mesh architectures using Databricks and AWS ecosystems.

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

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.

Explore Atlassian's Data Mesh implementation, multi-regional data lake, and compliance strategies. Learn about logical replication, data contracts, and how the data lake powers various use cases, unlocking team potential.

Modernização da plataforma de dados do Bradesco usando arquitetura Data Mesh com Databricks, unificando ambientes heterogêneos e melhorando governança e eficiência para 75 milhões de clientes e 5 PB de dados.

Explore forward compatibility in Gen AI, LLM deployment challenges, and practical solutions for securing and monitoring AI systems in production environments.

Explore data governance, AI challenges, and MLOps with Alexandra Diem. Gain insights on balancing tech projects, agile methods, and integrating AI into workflows. Learn about specialized chatbots and data-driven problem-solving.