Sentence examples for analytic queries from inspiring English sources

Techniques proposed in data warehousing and online analytical processing, such as precomputed multidimensional cubes, dramatically improve the response time of analytic queries based on relational databases.

One of the major tasks in mining big data is to answer the analytic queries efficiently.

We process the upcoming analytic queries based on the precomputed results.

Analytic queries often involve sophisticated aggregations which demand significant computing powers.

We presented a precomputing architecture suitable for NoSQL databases in particular MongoDB and Redis to answer temporal analytic queries.

Consequently, it has become an urgent need to process analytic queries based on the NoSQL databases efficiently.

Aiming to tackle these challenges and to enhance the performance of analytic query processing, the concept of data warehouse [13] and OLAP [6] have been introduced.

A new component called TuPAQ (Training-supported Predictive Analytic Query Planner) [137] was recently introduced, which builds on the initial idea of ML Optimizer.

To cope with this situation, a compilation framework is presented that can transform text analytics queries into a hardware description.

What's more, company CEO Umur Cubukcu said in an email that faster analytics queries through advanced optimizations and ~3x compression could drive down storage costs.

In stark contrast to workflow-based methodology, most business-driven BI and analytics queries are fundamentally ad hoc, interactive, low-latency analyses.