
Learn to protect customer identities using streaming analytics for efficient, cost-effective authentication and real-time abuse detection.

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.

Explore building a distributed indexing layer for big data, covering design principles, data ingestion, storage, modeling, and in-memory computing techniques for scalable, real-time querying.

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 AI, machine learning, and deep learning concepts, comparing rule-based and ML approaches for time-series data. Learn supervised vs unsupervised learning with practical examples and best practices.

Explore modern SQL features beyond SQL-92, comparing traditional and contemporary solutions to common problems. Learn how to leverage advanced capabilities across various database systems.

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 in Spring for building resilient, responsive microservices. Learn integration, data pipelines, API design, and testing techniques for cloud-native Java applications.

Explore data distribution strategies for microservices, including CQRS and Event Sourcing, to optimize data handling based on various scenarios and requirements.

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.

Explore security and privacy practices in Turkish software startups through qualitative interviews, revealing insights into development approaches and challenges.

Explore a novel approach to detecting attacks on industrial control systems by correlating behaviors in SCADA and physical layers, enhancing cybersecurity in critical infrastructure.