Explore the use cases for event-driven architectures in Clojure, including real-time data processing, GUI applications, and microservices communication.
Explore the fundamentals of reactive programming, focusing on data flows and change propagation, and learn how Clojure's functional reactive programming (FRP) can enhance application responsiveness and manage asynchronous data effectively.
Explore the fundamentals of asynchronous programming and its significance in modern software development. Learn how asynchronous programming enhances application responsiveness and efficiency.
Explore the design and implementation of a high-throughput data pipeline for analytics using Clojure, focusing on data ingestion, real-time transformations, aggregation, fault tolerance, and scalability.
Explore techniques for managing high-velocity market data streams using Clojure, focusing on core.async and Apache Kafka for efficient data processing and model updates.
Explore the intricacies of batch and real-time calculations in financial risk assessment using Clojure. Learn how to design systems that efficiently handle both processing modes.
Explore the intricacies of DynamoDB Streams, their architecture, use cases, and integration with Clojure for real-time data processing and synchronization.
Explore how to set up Apache Storm topologies using Clojure, including architecture insights, integration techniques, deployment strategies, and scaling considerations.
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