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。

442

BlinkDB: Queries with Bounded Errors and Bounded Response Times

1167

Dremel: Interactive Analysis of Web-Scale Datasets

1121

imMens: Real-time Visual Querying of Big Data

1068

incremental-fisher

1122

Improving Visualizations to Support Rapid Decision Making

1112

Scalable Progressive Analytics on Big Data in the Cloud

1136

online-aggregation

1068

Resilient Distributed Datasets

2923

Approximating Aggregates with Distribution Precision Guarantee

1126

Shark: SQL and Rich Analytics at Scale

1169

Spark SQL: Relational Data Processing in Spark

1208

Incremental Visualization Lets Analysts Explore Large Datasets

1102