Sentence examples for big data workflows has from inspiring English sources

The granularity of task partitioning in each moldable job of such big data workflows has a significant impact on energy efficiency, which remains largely unexplored.

This means that big data workflows have to be in place to retain large numbers of experimental results and allow their joint analysis.

Customizable scalable methods, big data workflows, and visualization for scanning and electron microscopy data are detailed in the following sections.

Hadoop was initially introduced in 2007 as an open source implementation of the MapReduce processing engine linked with a distributed file system [10], but it has since evolved into a vast web of projects related to every step of a big data workflow, including data collection, storage, processing, and much more.

"Big data has arrived, but big insights have not" [ 9]. [ 7 ] NY Times : [ Eight (No, Nine !) Problems With Big Data ]: " Big data is here to stay, as it should be.

Big data application has many data resources and data.

Big data commerce has become an e-commerce trend.

Tradition analytics, big data analytics has several differences.

The big data era has a high impact on forensic data analysis.

The recent proliferation of big data sources has given rise to a data deluge.

Large-scale workflows for big data analytics have become a main consumer of energy in data centers where moldable parallel computing models such as MapReduce are widely applied to meet high computational demands with time-varying computing resources.