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。

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da仔
253
BlinkDB: Queries with Bounded Errors and Boun...

BlinkDB: Queries with Bounded Errors and Bounded Response Times

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Dremel: Interactive Analysis of Web-Scale Dat...

Dremel: Interactive Analysis of Web-Scale Datasets

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imMens: Real-time Visual Querying of Big Data

imMens: Real-time Visual Querying of Big Data

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718
incremental-fisher

incremental-fisher

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Improving Visualizations to Support Rapid Dec...

Improving Visualizations to Support Rapid Decision Making

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Scalable Progressive Analytics on Big Data in...

Scalable Progressive Analytics on Big Data in the Cloud

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765
online-aggregation

online-aggregation

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708
Resilient Distributed Datasets

Resilient Distributed Datasets

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2026
Approximating Aggregates with Distribution Pr...

Approximating Aggregates with Distribution Precision Guarantee

大数据

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745
Shark: SQL and Rich Analytics at Scale

Shark: SQL and Rich Analytics at Scale

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762
Spark SQL: Relational Data Processing in Spark

Spark SQL: Relational Data Processing in Spark

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797
Incremental Visualization Lets Analysts Expl...

Incremental Visualization Lets Analysts Explore Large Datasets

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726