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Explore Xiaomi's data integration technology, including service evolution, self-developed engine capabilities, and platformization practices. Gain insights into real-world solutions for data synchronization and heterogeneous system integration.
Explore interconnection between Apache DolphinScheduler and cloud object storage for file management and remote task log storage in data lake scenarios.
Develop new data sources for Apache SeaTunnel to interconnect with over 100 sources. Learn architecture, best practices, and contribution guidelines.
Explore DolphinScheduler's indicator system and core service burial points to ensure stability and fast task tracking on Alibaba Cloud's implementation.
Explore Apache SeaTunnel's innovative approach to batch data synchronization, addressing integration challenges and ensuring data consistency across all scenarios.
Explore building a large-scale API hub, covering API management, automated delivery, and lifecycle. Learn to address challenges in distributed organizations and add business value.
Implement Apache Shenyu microservice gateway for high-traffic scenarios. Learn gateway concepts, customization, and real-world use cases from an experienced engineer.
Explore modern API lifecycle management with Apache APISIX, a cloud-native gateway. Learn how to efficiently manage APIs in microservice architectures for enterprise stability and security.
Explore OpenLineage, an open framework for data lineage metadata collection. Learn its purpose, data model, and integration with tools like Apache Airflow and Spark to enhance pipeline understanding and management.
Modernize logging and enhance cybersecurity using MiNiFi, Kafka, and Flink. Learn efficient log collection, processing, and streaming analytics for global network monitoring and alert generation.
Explore streamlined data observability using Apache Iceberg's Integrated Audits pattern for massive-scale data validation and quality assurance.
Explore Morel, a functional programming language with relational extensions, designed for efficient data-parallel processing on various scales. Learn its evolution and capabilities in graph and recursive queries.
Explore Iceberg's metadata tables to gain insights, optimize queries, and enhance data management. Learn advanced techniques for auditing, quality control, and performance improvement in Apache Iceberg.
Learn how lakeFS enables Git-like versioning for data lakes, solving challenges of object storage and scaling to billions of objects without compromising performance. Explore branching, committing, and merging for petabyte-scale data management.
Explore Apache Daffodil's internal organization, DFDL schema compiler, and multiple runtime environments. Learn about new features like the VSCode-based data debugger.
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