This chapter looks at the context of tools and platforms for data-intensive engineering. It shows the scope of data-intensive computing relative to distributed computing and knowledge discovery. The key properties of data-intensive computing are that the focus is on data as much as computation and that the data in question are distributed. The data-intensive platform described in this chapter is specialized to address these aspects. In order to engineer such a platform, a number of connected tasks must be orchestrated to create the overall platform, namely, the chapter describes the DISPEL language, the Lingua Franca of the platform, the development tools used to create DISPEL sentences (programs), and the processes involved in enacting a data-intensive computation.
|Title of host publication||The Data Bonanza:Improving Knowledge Discovery in Science, Engineering, and Business|
|Publisher||Wiley-IEEE Computer Seciety Press|
|Number of pages||5|
|Publication status||Published - 2013|