
Discover how serverless technology simplifies machine learning, from training to prediction. Learn to create a complete ML pipeline without extensive background knowledge or infrastructure management.

Explore change data capture with Debezium, an open-source solution for streaming database changes. Learn implementation, use cases, and how to maintain data correctness in various scenarios.

Discover how Hibernate ORM and Elasticsearch can be seamlessly integrated for efficient data synchronization, automatic indexing, and powerful querying capabilities in Java applications.

Explore offline-first web apps using WebComponents. Learn caching, in-browser databases, and data replication for seamless user experience, even without connectivity. Includes live coding demo.

Explore Docker image control in production pipelines, implementing promotion models and distribution strategies for enhanced container lifecycle management.

Explore Apache Sling's capabilities as a REST middleware, unifying multiple data sources through a single Resource API for efficient web application development.

Einführung in Forschungsdatenmanagement: Schritte und Überlegungen zur langfristigen Erhaltung und Auffindbarkeit von Daten. Vorstellung grundlegender Architektur und wichtiger Konzepte wie OAIS-Modell, Metadaten und FAIR-Prinzipien.

Explore Data-Oriented Programming principles to reduce system complexity, focusing on immutable data, generic structures, and flexible validation techniques for more maintainable software systems.

Build real-time streaming data pipelines using Apache Kafka, Kafka Connect, and KSQL. Learn to filter events, enrich data streams, and perform streaming aggregates for anomaly detection.

Explore change data capture with Debezium, an open-source solution for streaming database changes. Learn implementation, use cases, and how to react to change events in near real-time.

Explore change data capture with Debezium for real-time data streaming in microservices. Learn implementation, use cases, and live demo of setting up streams without code changes.

Explore data architecture challenges in microservices, including state sharing, inter-service communication, and security. Learn practical solutions and see demonstrations of key concepts.

Explore patterns for handling distributed transactions, scaling data across data centers, and migrating schemas without downtime in large-scale microservices architectures.

Modernize legacy systems using Event Sourcing: Capture data with Debezium, process with Kafka Streams, and store in diverse databases for flexible, context-specific data access and improved scalability.

Explore database types, their strengths, and use cases to make informed choices for your application's data management needs in this comprehensive overview.

Explore challenges and solutions in deploying machine learning models to production, focusing on infrastructure, monitoring, and tools, with insights from large-scale recommender systems at Storytel.

Explore strategies for handling imperfect data in decision support, disaster response, and connected devices. Learn to address challenges in distributed systems and improve data quality.

Insights from developing a commercial drone platform, covering hardware, software, and cloud components. Explores challenges, solutions, and applications in various industries.

Explore the potential of connected information beyond traditional web applications, and learn how emerging technologies are reshaping data integration and global identity.

Explores Big Data's potential, challenges, and societal impact. Discusses volume, privacy, talent shortage, and technical issues. Examines promising sectors and the balance between corporate interests and social good.

Explore big data technologies beyond Map/Reduce and NoSQL, understanding their practical applications and potential for innovation in data-driven businesses.