Sentence examples for big data pipelines in from inspiring English sources

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

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.

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

Paper on improving inference in big data pipelines at KDD 2013.

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

Therefore, the big data pipeline presented in this research facilitates transparent data integration that enables facilities to begin their smart manufacturing journey without committing to extensive technology replacement.

Therefore, it is logical that smart manufacturing initiatives, such as the industrial big data pipeline for equipment maintenance proposed in this research, must exhibit fault tolerance and operational resilience.

Table 4 Data ingestion discussion Requirement Discussion Legacy integration The simulation illustrates how legacy and smart devices can coexist in the industrial big data pipeline, with legacy integration realised using the ingestion engine to abstract and encapsulate legacy devices and instrumentation relating to the RAT measurement.

In the context of this research, the industrial big data pipeline was concerned with funnelling data from the factory to data-driven equipment maintenance applications.

Fig. 2 Big data pipeline architecture and workflow.

Therefore, to communicate results effectively in this research, requirements were limited to those deemed essential to the design and implementation of an industrial big data pipeline.