Sentence examples for data processing environments from inspiring English sources

Oracle has integrated Cloudera's distribution including Apache Hadoop and Cloudera Manager software into its Big Data Appliance, a just launched engineered system designed to provide high performance and scalable data processing environments for Big Data.

Several platforms address some aspect of the problem like Big Data stacks [3, 45]; data processing environments (e.g., Hadoop, Spark, CaffeonSpark); data stores dealing with the CAP (consistency, atomicity and partition tolerance) theorem (e.g., NoSQL's); and distributed file systems (e.g., HDFS).

The standard GUI-based fMRI data processing environments, such as SPM, FSL [ 62] or AFNI [ 63], do not implement most of the modeling approaches described in this review.

WINGS' ability to execute workflows under a variety of modes — either in a local host, across a network of local machines, or across large scale distributed data processing environments, such as clusters or cloud services — is an invaluable tool in processing large omics data sets.

The Durok system can be applied to small datasets that can be processed without a distributed data processing environment.

Analytics Lab is an agile data processing environment using advanced education data analytics and visualizations to create HE dashboards to enhance decision-making and strategic planning.

Workflow can be devised as a tool used purely in electronic data processing environment where data is to be transmitted across heterogeneous departments handled by personnel belonging to diverse engineering backgrounds.

Promoted as 'a business intelligence shared service for UK education' and a 'live data processing environment,' Analytics Lab emphasizes 'cutting edge data manipulation and analysis' and enables teams 'to acquire, combine and visualise national data sets helping the higher education (HE) sector exploit the benefits of business intelligence' (https://www.business-intelligence.ac.uk/).ac.uk/

However few of the open-source LIMS also provide the data processing environment.

To substantiate this approach we analyzed the current data processing environment to advance the unification of cancer documentation, e.g. for solid cancer entities.

Each data provider performs initial aggregation of the PHI within their own existing, secured data processing environment, producing data that is aggregated beyond the point where any individual patient is identifiable.