Sentence examples for distribute data processing from inspiring English sources

Important requirement for future workflow systems is the ability to distribute data processing workload with frameworks such as Hadoop and Spark.

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

To coordinate this distributed data processing, we will discuss a programming framework called MapReduce.

Finally, I will describe scheduling techniques that can improve scalability and achieve high performance when using distributed data processing frameworks.

Creating a distributed data processing application with MapReduce combines many of the ideas presented throughout this text.

On the other hand, workflow systems are used for distributed data processing across data centers.

A new distributed data processing and analysis environment has been developed, which has generic functionalities for neutron scattering experiments.

In recent years distributed data processing has reached many areas of computer science including geographic and remote sensing information systems.

It has been reported that the workflow paradigm has some limitations for distributed data processing, such as reliability and efficiency.

The framework is composed of the class library for data reduction and analysis operators, network distributed data processing modules and data containers.

In contrast, the proposed approach aims at distributing data processing among the nodes in the network thus providing a higher processing capability than a single device.