Building Composable AI Systems for Better Testability and MaintainabilityAI systems can be made more reliable by treating components as discrete versioned parts.
Low-latency ingestion and optimization for Apache Iceberg | App Developer MagazineQlik's acquisition of Upsolver enhances its capabilities in real-time data streaming and Apache Iceberg optimization.
Stream All the Things: Patterns of Effective Data Stream Processing Explored by Adi Polak at QCon SFData streaming challenges persist despite advancements, leading organizations to seek effective solutions for scalable pipelines.Achieving exactly-once semantics is vital for reliability in data processing systems, especially with modern architectures.
Spark Stateful Stream DeduplicationImplementing a deduplication mechanism is essential for maintaining data pipeline integrity in IoT data streams to manage duplicate events effectively.
Stream All the Things: Patterns of Effective Data Stream Processing Explored by Adi Polak at QCon SFData streaming challenges persist despite advancements, leading organizations to seek effective solutions for scalable pipelines.Achieving exactly-once semantics is vital for reliability in data processing systems, especially with modern architectures.
Spark Stateful Stream DeduplicationImplementing a deduplication mechanism is essential for maintaining data pipeline integrity in IoT data streams to manage duplicate events effectively.
Enhancing Flink's AWS Integration: Custom SQS Source in ScalaCreate custom source functions in Flink to integrate with AWS SQS and enhance streaming data processing.
Yelp Overhauls Its Streaming Architecture with Apache Beam and Apache FlinkYelp revamped data streaming architecture with Apache Beam and Apache Flink for unified solution.