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Explore Apache Hudi's Non-Blocking Concurrency Control for conflict-free streaming ingestion with Flink, enabling high-throughput real-time data processing and eliminating write bottlenecks.
Discover how Attentive evolved from Redis locks to Apache Pulsar's subscription modes for mutual exclusivity, scaling to 3.9B messages during peak events like Black Friday.
Discover how Adobe scales identity graph processing to handle 1M+ records per second using Spark Structured Streaming and Delta Lake, achieving 10x pipeline growth with optimized performance.
Discover how to bridge operational and analytical data by creating Iceberg-compatible projections of Kafka data, eliminating ETL processes while maintaining performance.
Discover how Flink's changelog modes impact state size, latency, and performance through SQL examples and operator topology analysis to optimize your data pipelines.
Discover advanced anomaly detection in network logs using Generalized Isolation Forest and ExIFFI for enhanced cybersecurity with real-time processing and explainable AI insights.
Discover Apache Spark's transformWithState operator for building sophisticated, low-latency streaming applications with real-time fraud detection and session analytics examples.
Master streaming data into Iceberg with advanced techniques for managing small files, optimizing compaction strategies, and building efficient real-time pipelines.
Discover how Pulsar schemas solve real-time data consistency issues, enforce governance, and enable smooth schema evolution to prevent breaking changes in streaming systems.
Explore the challenges of implementing Kafka API compatibility in streaming platforms and discover how Apache Pulsar offers architectural flexibility while maintaining ecosystem integration.
Explore advanced topic compaction techniques on Ursa, a leaderless S3-based Kafka server that balances storage costs with efficiency for scalable cloud-native streaming.
Discover how to build scalable real-time data pipelines for capital markets using SQL-based analytics to process trade events, detect anomalies, and enable high-frequency trading decisions.
Explore data serialization formats beyond JSON to optimize streaming performance, manage schemas effectively, and enhance data processing efficiency in modern systems.
Discover how Oxia transforms data streaming by serving as both metadata system and index storage engine, optimizing scalability, latency, and cost efficiency for high-throughput pipelines.
Discover how StreamNative's Ursa Engine integrates with PuppyGraph to enable real-time graph analytics on streaming data without dedicated graph databases using Gremlin and openCypher.
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