Scalable data extraction from data stores

Details Scalable data extraction from data stores Scalable data extraction from data stores

2011-07-19

2011-07-19

Hicks, Michael (Department: 2165)

Data processing: database and file management or data structures

Database and file access

Query optimization

Reexamination Certificate

active

07984045

ABSTRACT:
Extraction of data employing a sequence of remote function calls in form of a synchronous multi-batch call chain is provided. Sequencing of calls is enabled by generating parameters associated with the extraction of a next batch of data. The parameterized, dynamic generation of queries allows for optimization of memory utilization by batching result sets and data conversion. Each subsequent call retrieves a packet of data, picking up where the previous call left off without an overlap. Parameters are updated after each call based on extracted data, available memory, and the like.

REFERENCES:
Nadkarni et al., “Data Extraction and Ad Hoc Query of an Entity-Attribute-Value Database”, Journal of the American Medical Informatics Associations, vol. 5, No. 6, pp. 511-527, 1998.
Gaber et al., “Adaptive mining techniques for data streams using algorithm output granularity”, Proceedings of the Australasian Data Mining Workshop, Held in conjunction with the Congress on Evolutionary Computation, 2003.

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