Sentence examples for analytic jobs from inspiring English sources

Analytic jobs The precomputing architecture is designed to process data that are sequential or based on the order.

(2) Precompute results structure, where we execute analytic jobs (MapReduce based on Hadoop) and then store the precomputed results into NoSQL database (MongoDB1 and Redis2).

As a case study, we demonstrate our architecture using specific data sources, database platforms, analytic jobs and processing techniques in this paper, as indicated within the above parentheses.

Text aggregation is a widely used analytic job in many literatures.

3.4, the time cost by answering drill-down query depends on the size of the indexed data collection and the complexity of the analytic job.

The time of this process depends on the complexity of the analytic job to be executed and can be very slow if size of the fetched tweets is large.

This approach does add an extra execution time overhead to the analytics jobs and will repeat the data transformation every time an analytics job is carried out.

Big data analytics jobs are often continuous and not mutually separated.

The transformation logic can be implemented in a shared library, which can be imported into any analytics jobs.

To implement the job scheduling model, we leverage an estimation module to predict the performance of clusters when executing analytics jobs.

First, we propose an estimation module to predict the performance of Hadoop clusters when executing different big data analytics jobs, which can be used by GAs.