
Explore patterns and principles for handling real-time streaming data, with a live demo showcasing Infinispan and Kubernetes for distributed data processing architecture.

Explore enterprise integration patterns using Apache Camel with Spring Boot and Kubernetes. Learn to build cloud-native, fault-tolerant microservices with live demos and best practices.

Explore how IoT and Deep Learning technologies are revolutionizing vehicle safety, fleet management, and insurance through real-time data analysis and smart device integration.

Explore optimizing cryptocurrency portfolios using ElasticSearch, Facebook's Prophet, and custom Python data mining for long-term investment strategies.

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 efficient microservice monitoring with JHipster Console. Learn to leverage logs, metrics, and traces for improved debugging and scaling in production systems.

Explore XComponent Koordinator, a solution for integrating batch and stream processing microservices while maintaining security and auditability in enterprise environments.

Explore low-code systems, their potential and limitations in business contexts. Learn from real-world experiences and discover innovative approaches to streamline development processes.

Unlock serverless architecture's full potential with best practices, optimizations, and real-world scenarios. Learn to build secure, high-scale applications and integrate IoT, streaming data, and AI services efficiently.

Explore tools for migrating big datasets to the cloud, focusing on Circus Train for dataset replication and Waggle Dance for federated Hive querying, with real-world examples from Hotels.com.

Learn to integrate Elasticsearch into legacy applications, enabling advanced search features without complex SQL. Includes live coding demo, data operations, and performance optimization techniques.

Learn to build event-driven microservices using Apache Kafka. Explore asynchronous communication, distributed logs, and stream processing for loosely-coupled, scalable architectures.

Explore Apache Kafka's capabilities as an event-driven streaming platform, including Kafka Connect, Streams API, and Confluent Platform components. Includes live demos and real-world applications.

Explore database storage evaluation techniques to choose the best storage for your data needs, understanding trade-offs as you scale and plan for growth in Big Data environments.

Enhance legacy applications with Elasticsearch for powerful search capabilities without complex SQL coding. Live demonstration of integration and advanced features.

Explore how blockchain concepts and Hadoop can revolutionize banking, enabling massive transaction processing and data storage using technologies like Apache Kafka, HDFS, Spark, and Accumulo.

Explore Akka's Typed Actor APIs and network Akka Streams, focusing on building resilient Reactive Systems. Learn about failure scenarios, healing mechanisms, and managing complexities in cloud-native environments.

Explore building a scalable streaming data platform using Clojure, Kafka, and Cassandra. Learn key concepts and live-code a system that handles high-volume, real-time data processing efficiently.

Explore reactive programming's impact on resource consumption, backpressure, data serialization, and event loops through live coding. Compare execution differences with classic imperative approaches.

Explore KSQL, a SQL-like language for Kafka stream processing. Learn to create powerful applications with ease through live coding demonstrations on real-time data.

Exploring Enterprise Integration Patterns in serverless computing, focusing on Apache Camel and key patterns applicable to cloud-based function services for efficient message navigation and interaction.