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Most pressingly, continuing growth in both the number of papers published, and the amount and complexity of information contained in a typical paper, threatens to outstrip the capacity of database staff.
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Big data exceeds the processing capacity of conventional database systems.
The amount of time it takes to create all fingerprints depends on the amount and complexity of the compounds and on the capacity of the database server.
We can define big data to be data that exceeds the processing capacity of conventional database and analytics technology (in that the data is unstructured, too large or too fast).
Big Data, the new buzz word in the industry, is data that exceeds the processing and analytic capacity of conventional database systems within the time necessary to make them useful.
Finally, we aim to enhance the querying capacity of the database and to provide batch download functionality.
Big Data generally refers to data that exceeds the typical storage, processing, and computing capacity of conventional databases and data analysis techniques.
Qualitative software developers need to work toward increasing the capacity of the databases that are part of their programmes.
The capacity of genome databases and gene networks is expected to grow as similar bioinformatics frameworks spread to more species.
The capacity of the source database, middleware, and target database, is defined in IOPS and input into the simulation.
Our simulation considers the future database load (extrapolated from the workload model) and the capacity of the new database server.
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