Sentence examples for big data pipelines from inspiring English sources

Automated workflows are the key concept of big data pipelines in science, engineering and enterprise applications.

Big data pipelines build on automated workflows which are executed in massively parallel applications.

{Forget over-the-web application-enabling unless you're blessed with big dapplication-enabling unless todayouava can'rework at human speeds.}.

It can be directly applied to workflows described by DAGs especially in highly automated systems like big data pipelines, the P-GRADE grid portal [38], ASKALON [40], Petascale science applications [44], the development of new HPC services like hybrid computing [26], or even event-driven business processes [45, 46] and the visualization of web services [41].

In this article, we introduce a new pipeline programming language called BigDataScript (BDS), which is a scripting language designed for working with big data pipelines in system architectures of different sizes and capabilities.

Fig. 2 Big data pipeline architecture and workflow.

This paper presents a big data pipeline for industrial analytics applications focused on equipment maintenance.

Future work will focus on the implementation and deployment of the big data pipeline in DePuy Ireland.

We didn't focus on the pre-processing phase of the big data pipeline (Fig. 12).

The industrial big data pipeline focuses on supporting data-driven analytics applications for predictive and intelligent equipment maintenance.

Figure 2 presents the big data pipeline architecture with each stage of the workflow numbered and highlighted.