heterogeneous data in a sentence

Examples

1. The input for the data sets used in the visual analytics process are heterogeneous data sources ( i . e ., the internet, newspapers, books, scientific experiments, expert systems ).
2. Each user can create a job ( that is, a string of TPT commands ) that allows them to perform operations, such as heterogeneous data access, data integrity checks, interactive.
3. The database corresponding to the source schema S would comprise the set of sets of tuples for each of the heterogeneous data sources and is called the " source database ".
4. Computational methods that integrate complex, heterogeneous data sets, such as expression data, sequence information, functional annotation and the biomedical literature, allow prioritizing genes for future study in a more informed way.
5. JBoss Developer Studio includes Teiid, a data virtualization system that allows applications to use a uniform API to access data from multiple, heterogeneous data stores, handling relational, XML, XQuery and procedural queries.
6. Noesis Solutions takes part in key research projects, such as MEGaFIT ( zero-defect manufacturing of complex high-precision metal parts ), JTI CleanSky Green Rotorcraft and iProd ( Integrated management of product heterogeneous data ).
7. As part of this effort, he is the co-inventor on the patents " Querying Heterogeneous Data Sources over a Network Using Context Interchange " and " Data Extraction from World Wide Web Pages ."
8. The evolution of databases in the direction of heterogeneous data environments strongly impacts the usability, semiotics and semantic assumptions behind existing data accessibility methods such as structured queries, keyword-based search and visual query systems.
9. On top of that, the MIC represents " a set of heterogeneous data, " meaning the pictures lack commonality and come from disparate archives, which really tests the programmers writing software for the system's search engine, he said.
10. Compliance with existing or emerging VO standards, interconnection with other visualisation or analysis tools, ability to easily compare heterogeneous data are key topics allowing "'Aladin "'to be a powerful data exploration and integration tool as well as a science enabler.