This article explains how a large‑scale advertising platform replaced its slow offline data‑warehouse with a ClickHouse‑based real‑time warehouse, covering data source integration, performance comparison, materialized views, projections, schema management, and cost‑effective hot‑cold storage strategies.
This article presents a comprehensive overview of Apache Doris, covering its positioning as a distributed MPP analytical database, core architecture with FE and BE nodes, key technologies such as vectorized execution and materialized views, integration with Kafka and Elasticsearch, additional features, roadmap, and detailed case studies from Baidu Statistics and Meituan, illustrating its practical deployment and performance characteristics.
This article introduces Apache Doris, a massively parallel processing (MPP) distributed database, covering its background, core architecture, key technologies such as reliability, maintenance, MySQL compatibility, materialized views, and real‑world applications at Baidu and beyond.
This article compares Spark Streaming and Flink across runtime models, component roles, programming APIs, task scheduling, time semantics, dynamic Kafka partition detection, fault‑tolerance mechanisms, exactly‑once guarantees, and back‑pressure handling, providing code examples and practical insights for real‑time data processing.
This article introduces Apache Flume, explains its design goals of reliability, scalability, manageability and extensibility, outlines core concepts and architecture, provides step‑by‑step configuration using the first mode, demonstrates integration with Zookeeper, Kafka and a shell script, and shows how to launch and verify the agent.
