
Discover how to build and optimize an AI recommendation engine using Rails, Postgres, and OpenAI. Learn scaling techniques for handling unique AI data needs.

Explore how database transactions grow into liabilities, uncover problematic patterns, and learn strategies to maintain data integrity and database health.

Explore the concept of a data control plane, its key characteristics, and its role in the deconstructed data stack architecture. Learn from LinkedIn's former Big Data architect.

Learn to build an ML experimentation platform using lakeFS for version control and reproducibility. Explore creating frameworks, reproducing iterations, and building intuitive infrastructure with open-source tools.

Accelerate enterprise AI adoption for business impact. Learn market trends, challenges, and strategies to bridge AI with decision-makers using a universal semantic layer.

Explore Apache Flink's capabilities as a data integration hub, focusing on its SQL engine for changelog processing, CDC data handling, and materialized view maintenance. Learn about data source semantics and system integrations.

Explore change data capture with Debezium and Apache Flink for microservices. Learn outbox pattern, strangler fig pattern, and saga orchestration for reliable data exchange and long-running transactions.

Explore the journey of building open-source data standards, from Apache Parquet to Arrow to OpenLineage. Gain insights into successful project ideation, growth, and ecosystem impact in data management.

Explore Modal's custom container infrastructure, including a Rust-based file system and runtime, to understand how they launch 1000s of large containers rapidly for efficient data processing.

Explore best practices for testing ML models in CI/CD pipelines. Learn to validate models and data using deepchecks, addressing common pitfalls and ensuring continuous relevance and trustworthiness.

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 the future of AI development with industry experts. Gain insights on evaluating models, context windows, fine-tuning, and building AI applications for global deployment.

Explore the synergy between Support and Kanban models in managing Drupal projects, focusing on client benefits, estimation, security updates, and capacity management.

Gain confidence in Drupal site security. Learn cost-effective techniques, technologies, and risk-balancing strategies for non-technical leaders to protect investments and make informed decisions.

Explore inclusive product design principles and real-world applications for creating digital experiences that cater to diverse audiences, considering factors like literacy, tech proficiency, and bandwidth.

Explore the crucial role of taxonomists and governance in effective taxonomy management. Gain insights into best practices for organizing and structuring information.

Explore content governance models through case studies of three websites, examining strategies for effective content management and organization.

Explore innovative approaches to content authoring in Drupal, enhancing user experience and productivity for content creators.

Explore the importance of audience experience in content management and its impact on digital strategies. Learn to prioritize user needs for effective content delivery.

Explore Schema.org implementation in Drupal for enhanced SEO and structured data. Learn best practices and tools for optimizing web content visibility.

Découvrez comment l'UNESCO a construit et gère une usine de sites Drupal et un système de design pour sa refonte web, normalisant des centaines de sites à travers le monde.