data exploration

基本解釋

Rapid data exploration.
快速數(shù)據(jù)瀏覽。
Empower end users with new insights through rapid data exploration and visualization.
通過(guò)快速數(shù)據(jù)瀏覽和可視化，使得最終用戶擁有全新見(jiàn)解。
Whereas SQL is typically hard-coded into a JDBC application, the purpose of OLAP is interactive data exploration, so queries need to be formed dynamically.
在JDBC應(yīng)用里SQL通常是硬編碼的，相反，OLAP的目的是進(jìn)行交互式的數(shù)據(jù)探索，所以查詢需要?jiǎng)討B(tài)生成。

Creating a visual playground for data exploration and analysis has proven quite popular with companies both large and small.
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But a true data-driven culture supports questioning by non-experts, and delivers business value by making data exploration intuitive, rewarding, and even fun.
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Large amounts of data in Oil and Gas is exploration data and needs to be combined with GIS systems for visualization and analysis.
FORBES: Big Data: A Picture Is Worth A Thousand Words