Sentence examples for scalable data processing from inspiring English sources

It was implemented with the Apache Flink scalable data processing engine.

Researching all thewild tangents and nuances of cloud infrastructure, cyber security, social commerce, scalable data processing, etc., is a full time job.

We describe how these scale to larger datasets or more users, how they use infrastructure systems for scalable data processing, and how they are deployed and maintained.

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.

Complex event processing is applied to ensure scalable data processing for large data volumes and automate the reporting in order to assign the fault-patterns to machining processes and products.

These same load balancing features facilitate scalable data processing in the pipeline by scaling compute resources based on demand (i.e. amount of processing required) Openness and accessibility The simulation shows data stored in a contextualised cloud repository after completion of the aggregation process.

The intelligent test and measurement system (ITMS) developed by UPM and CIEMAT is a technology that permits implementation of a scalable data acquisition and processing system based on PXI or CompactPCI hardware.

With this approach, the ITMS platform is a suitable solution for implementing scalable data acquisition and processing systems based on a service-oriented model with the ability to easily implement remote participation applications.

The intelligent test and measurement system (ITMS) developed by UPM and CIEMAT is an example of a technology for implementing scalable data acquisition and processing systems based on PXI and CompactPCI hardware.

This new technology is capable of achieving effective measurements on par with its predecessor, and introduces new possibilities of large-scale networks of hundreds of sensors made possible by low installation costs and scalable in-network data processing.

MapReduce is a simple, scalable and fault-tolerant data processing framework that enables us to process a massive volume of data.