2 edition of Conceptual design optimization study found in the catalog.
Shipping list no.: 1990-0882-M.Distributed to depository libraries in microfiche.Prepared at North American Aircraft, Rockwell International Corporation, for Langley Research Center under contract NAS1-18015.May 1990.Bibliography: p. D-1--D-2.Also available via Internet from the NTRS web site. Address as of 4/25/06: http://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19900012439%5F1990012439.pdf; current access is available via PURL.Microfiche. [Washington, D.C. : National Aeronautics and Space Administration,] 1990. 2 microfiches.
|Statement||National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division|
|Publishers||National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division|
|The Physical Object|
|Pagination||xvi, 129 p. :|
|Number of Pages||47|
|2||NASA contractor report -- NASA CR-4298.|
|3||NASA contractor report -- 4298.|
nodata File Size: 8MB.
A conceptual model and its documentation help in understanding and identifying data schema and facilitating the ETL developer in transformation and maintenance phase of an ETL workflow. From conceptual to logical model The work presented in  proposes a set of steps to transform a conceptual model of an ETL workflow to its corresponding logical model. This work enables the design developed in BPMN to be compatible across multiple tools and easy to extend to fit the requirements of a particular application.
Since there exist multiple methods and techniques for conceptual, logical, and physical design of an ETL workflow, there is a need of developing a uniform ETL framework, which would: 1 facilitate the ETL developer designing an efficient ETL workflow, by providing hints for optimizing the workflow, and 2 allow the ETL developer to validate and benchmark some alternative workflow designs for given quality objectives.
M3 - Paper T2 - IASS Symposium Y2 - 16 July Conceptual design optimization study through 20 July 2018 ER. Challenges—the ETL developer must have prior knowledge of BPEL and tools that support BPEL-based ETL workflows.
RDD is placed on top of a distributed file system typically HDFS to provide multi-pass Conceptual design optimization study on data by rearranging the computations and optimizing data processing. e Generate a schema involved in a logical model using the algorithm proposed in  in order to assure that semantics of the involved concepts does not change even after changing the execution order of tasks in an ETL workflow.
With layout optimization simpler solutions can be generated by running the optimizer with penalization parameters, e.
Semi-autonomous behavior—the techniques that physically implement a graph-based logical model use a library of reusable possibly error-free and efficient templates; a number of an ETL workflow variants may be generated by selecting different physical templates. No UDF support and quality metrics—UDFs are not supported; quality metrics are not taken into consideration while constructing a conceptual ETL model. are combined into two larger linear flows—the first one is composed of [LFI, LFIII] and the second one is composed of [LFII, LFIII].
Parallelizing by means of MapReduce [, ] present a parallel dimensional ETL framework based on MapReduce called ETLMR. Conceptual design optimization study, conceptual modeling, logical modeling, and physical implementation, we draw the following conclusions. 5-mm-diameter cable failed under a load of over 282,588 kg 272 tons. In a second stage manufacturing aspects are considered by analyzing the draping of composite laminates over the structure to provide models suitable for detailed structural analysis.
It also provides an extended set of Input Contracts i. Multiple versions of the solution can be generated by selecting different physical templates, provided all constraints and conditions of the selected physical template are satisfied.
The initial implementation of the modified design process will optimize wing design variables. The goal of this paper is threefold. For more about the preparation phase see Chapters 1 and 2 in Collins, 2018.