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Monday, October 5, 2020 | History

4 edition of Cost-saving techniques in data processing found in the catalog.

Cost-saving techniques in data processing

Sam R. Goodman

Cost-saving techniques in data processing

by Sam R. Goodman

  • 385 Want to read
  • 31 Currently reading

Published by Prentice-Hall in Englewood Cliffs, N.J .
Written in English

    Subjects:
  • Business -- Data processing.,
  • Cost control.

  • Edition Notes

    Statement[by] Sam R. Goodman.
    SeriesPrentice-Hall"s financial management series
    Classifications
    LC ClassificationsHF5548.2 .G597
    The Physical Object
    Pagination32 p.
    Number of Pages32
    ID Numbers
    Open LibraryOL5286785M
    ISBN 10013181222X
    LC Control Number72005939
    OCLC/WorldCa539689

    1 Introduction to seismic data and processing Chapter contents Seismic data and their acquisition, processing, and interpretation Sampled time series, sampling rate, and aliasing Seismic amplitude and gain control Phase and Hilbert transforms Data format and quality control (QC) Summary Further readingFile Size: KB. About this Item: South-Western Publishing Co., numerous black and white illustrations, figures and photographies 1st edition Book Condition, Etat: Bon hardcover, editor's full orange clothes, no dust-jacket small In-4 1 vol. - pages Contents, Chapitres: Preface, Contents, vii, Text, pages - 1. Growth and importance of data processing: Data processing functions .

    Efficient Techniques and Tips in Handling Large Datasets Shilong Kuang, Kelley Blue Book Inc., Irvine, CA ABSTRACT When we work on millions of records, with hundreds of variables, it is crucial how we are processing our data. To make SAS ® really ROCK, we need to pay more attention to SAS ® program efficiency, since a single data step orFile Size: 34KB. The data collection technique should match the practical question that is being asked. Procedures for determining the best type of data to collect are comprehensively outlined in books dedicated to this topic (e.g., Kazdin, ). However the appropriateness of a given data collection is also based on who is collecting the data and their.

    Chapter 6. Big Data Processing Concepts Parallel Data Processing Distributed Data Processing Hadoop Processing Workloads Cluster Processing in Batch Mode Processing in Realtime Mode The need to process large volumes - Selection from Big Data Fundamentals: Concepts, Drivers & Techniques [Book]. Energy Saving in Data Processing and Communication Systems Giuseppe Iazeolla and Alessandra Pieroni D e p a r t m e n to fE n t e r p r i s eS t r a t .


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Cost-saving techniques in data processing by Sam R. Goodman Download PDF EPUB FB2

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