
Explore the consequences of dirty data and learn practical techniques for ensuring data accuracy and maintenance in this insightful talk by Susan Walsh.

Discover how to architect stateful microservices in cloud-native systems using Open Liberty and MicroProfile, challenging conventional wisdom about stateless containers.

Install and explore YugabyteDB, an open-source distributed SQL database compatible with PostgreSQL, on Kubernetes. Learn about data sharding, replication, and geo-distribution for high availability and low latency.

Explore the Strangler Fig Pattern for modernizing legacy systems using Change Data Capture, connectors, and stream processing techniques.

Explore how to maintain synchronized read views in distributed caches using change data capture, Debezium, Apache Kafka, and Infinispan. Learn to create denormalized data views and implement cross-site replication for cache updates.

Learn event sourcing with Event Store: implementation, challenges, and best practices for robust, scalable systems. Covers writing events, validation, migrations, and advanced topics.

Explore event-driven microservices architecture, including key patterns, Apache Kafka's role, and practical implementation strategies for building scalable and resilient systems.

Explore Kafka Connect's power in integrating data systems, from basics to advanced techniques for efficient and scalable data pipelines.

Explore AI use cases in business, focusing on identifying valuable opportunities, assessing potential impact, and considering long-term support and maturity for successful implementation.

Explore in-memory data systems like Infinispan for efficient data handling, querying, and analysis. Learn about architectures and use cases to optimize app performance and data processing.

Explore log-based state management for robust, scalable data systems. Learn techniques for efficient multi-dimensional time series traversal and improved data utility, applicable beyond master data management.

Explore configuration-based streaming ETL pipelines between MongoDB and Apache Kafka using Kafka Connect framework, focusing on data integration scenarios without coding.

Demystifying Data Mesh through practical platform building, focusing on components, patterns, and technologies for developing and reusing data products in cloud-native environments.

Explore Elasticsearch's distributed architecture, efficiency, and resilience for modern data challenges. Learn about ingestion, sharding, replication, and search distribution techniques.

Discover 10 ways to maximize your data's potential, from simplifying infrastructure to automating workflows. Learn how modern applications can design, grow, and secure data while deriving insights and enhancing user experiences.

Explore data-oriented programming principles and pattern matching in Java for safe, powerful, and maintainable ad-hoc polymorphism. Compare with OOP to understand when to apply DOP effectively.

Learn techniques to incrementally introduce Elm to JavaScript projects, including interop, embedding Elm apps, using Elm for business logic, and integrating with React components.

Explore modern data integration patterns, focusing on event streaming with Apache Kafka. Learn about microservices, compatibility, and innovative approaches to handling complex data challenges.

Explore research and engineering challenges in building machine learning infrastructure, focusing on TensorFlow runtime and optimization techniques for ML programs.

Explore Trino's capabilities for efficient data querying across diverse sources, optimizing pipelines, and enhancing analytics performance in complex data environments.

Explore key aspects of data governance empowering data scientists to make informed decisions and extract value from datasets. Learn approaches fostering data trust and safeguarding against biases.