Bringing Transactionality to the Streaming Ecosystem - Webinar
Explore modern streaming data platforms for real-time transaction processing, focusing on durability, scalability, and performance in critical data paths. Learn from Alpaca's experience re-engineering their order management system.
Streaming Data Enrichment and Analysis with Redpanda, CDC, and Python
Explore real-time data enrichment using streaming platforms, Debezium for CDC, and Python-based ML for sentiment analysis. Learn strategies for data aggregation and visualization in modern streaming architectures.
Realtime Stock Market Anomaly Detection Using Machine Learning - End-to-End Data Engineering Project
Develop an end-to-end data engineering project for real-time stock market anomaly detection using Quix Streams, Redpanda, and Docker. Learn to build a complete data pipeline and deploy an advanced ML model.
Extending a High-performance Data Streaming System with WebAssembly
Explore WebAssembly integration in high-performance data streaming, focusing on challenges, solutions, and developer experience in Redpanda's Seastar framework environment.
How WebAssembly Simplifies Streaming Data Pipelines
Explore WebAssembly's potential to simplify and enhance streaming data pipelines, reducing latency and resource usage while improving system performance and developer experience.
Extending a High-performance Data Streaming System with WebAssembly
Explore WebAssembly integration in high-performance data streaming, focusing on challenges, solutions, and developer experience in Redpanda's Seastar framework environment.
Graviton2 Arm vs Intel x86 Performance Comparison for Streaming Data Applications
Explore Graviton2 Arm vs Intel x86 performance for streaming data applications. Learn benchmarking methods, hardware selection insights, and comparative results for data-intensive workloads.
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Explore WebAssembly's potential in revolutionizing real-time stateless streaming pipelines for Kafka, focusing on low-latency, high-volume data management.
Stream Processing with Redpanda and Apache Flink
Master stream processing fundamentals and advanced concepts using Redpanda and Apache Flink, from stateless operations to fault tolerance, followed by hands-on application building and deployment in Java.
Realtime Algorithmic Trading with Apache Flink - End-to-End Data Engineering Project
Develop an end-to-end algorithmic trading system using Apache Flink, Kafka, and Python. Learn real-time data processing, custom algorithms, and financial market insights.