专题图片

Dealing with Huge Data(13)

这是一个面对巨量数据的研究专题,主要讨论面对巨量数据是,数据库的架构性能如何快速处理数据,支持高并发,高扩展,高可用。本专题通过结合大量实例操作与研究分析出提高数据读取,信息处理的方法。深度剖析数据库内部架构与Spark 大数据处理的性能研究。

253

BlinkDB: Queries with Bounded Errors and Bounded Response Times

769

Dremel: Interactive Analysis of Web-Scale Datasets

760

imMens: Real-time Visual Querying of Big Data

718

incremental-fisher

725

Improving Visualizations to Support Rapid Decision Making

731

Scalable Progressive Analytics on Big Data in the Cloud

765

online-aggregation

708

Resilient Distributed Datasets

2026

Approximating Aggregates with Distribution Precision Guarantee

745

Shark: SQL and Rich Analytics at Scale

762

Spark SQL: Relational Data Processing in Spark

797

Incremental Visualization Lets Analysts Explore Large Datasets

726