Meet Charles, Big Data Query Advisor

Provided by: Creative Commons
Topic: Big Data
Format: PDF
In scientific data management and business analytics, the most informative queries are a holy grail. Data collection becomes increasingly simpler, yet data exploration gets significantly harder. Exploratory querying is likely to return an empty or an overwhelming result set. On the other hand, data mining algorithms require extensive preparation, ample time and do not scale well. In this paper, the authors address this challenge at its core, i.e., how to query the query space associated with a given database. The space considered is formed by conjunctive predicates. To express them, they introduce the Segmentation Description Language (SDL). The user provides a query.

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