Deskripsi
In the sciences community, there is a growing need for information technologies capable of manipulating and analyzing large quantities of data in real time. Every aspect of the R&D process is being industrialized, and the reliance on automated methods has dramatically altered the research environment. Research data is doubling in volume every 12 months, creating a flood of new data from both internal and external sources. This presents tremendous challenges in the integration, management, and analysis of this valuable data, and it has led to a gross underutilization of the data. Pipeline Pilot Client was designed with the vision that it is possible to address these challenges with a new approach to the way research data is handled and analyzed. This approach, known as data pipelining, uses a data flow framework to describe the processing of data. Data pipelining is the rapid, independent