About this product

Product Identifiers

PublisherNow Publishers

ISBN-101638281483

ISBN-139781638281481

eBay Product ID (ePID)4059110573

Product Key Features

Number of Pages164 Pages

LanguageEnglish

Publication NameMultidimensional Array Data Management

Publication Year2023

SubjectComputer Science, General, Databases / Servers

TypeTextbook

AuthorFlorin Rusu

Subject AreaMathematics, Computers

SeriesFoundations and Trends in Databases Ser.

FormatTrade Paperback

Dimensions

Item Weight8.5 Oz

Item Length9.2 in

Item Width6.1 in

Additional Product Features

Intended AudienceScholarly & Professional

Dewey Edition23

IllustratedYes

Dewey Decimal005.7565

Table Of Content1. Introduction2. Multidimensional Arrays3. Multidimensional Array Operations4. Algebras and Query Languages for Multidimensional Arrays5. Multidimensional Array Storage6. Multidimensional Array Processing7. Multidimensional Array Systems8. Future DirectionsAcknowledgmentsReferences

SynopsisThis survey provides a comprehensive guide for past, present, and future research in array data management from a database perspective. It considers all types of arrays: rasters, data cubes, and tensors., Multidimensional arrays are one of the fundamental computing abstractions to represent data across virtually all areas of science and engineering, and beyond. Due to their ubiquity, multidimensional arrays have been studied extensively across many areas of computer science. This survey provides a comprehensive guide for past, present, and future research in array data management from a database perspective. Unlike previous surveys that are limited to raster processing in the context of scientific data, this survey considers all types of arrays: rasters, data cubes, and tensors. The author's goal is to identify and analyze the most important research ideas on arrays and to serve two objectives: first, to summarize the most relevant work on multidimensional array data management by identifying the major research problems; and second, to organize this material to provide an accurate perspective on the state-of-the-art and future directions in array processing.Multidimensional Array Data Management covers all data management aspects, from array algebras and query languages to storage strategies, execution techniques, and operator implementations. Moreover, the author discusses which research ideas are adopted in real systems and how are they integrated in complete data processing pipelines. Finally, the author compares arrays with the relational data model. The result is a thorough survey on array data management that is an excellent resource for anyone interested in this topic, independent of experience level., Multidimensional arrays are one of the fundamental computing abstractions to represent data across virtually all areas of science and engineering, and beyond. Due to their ubiquity, multidimensional arrays have been studied extensively across many areas of computer science. This survey provides a comprehensive guide for past, present, and future research in array data management from a database perspective. Unlike previous surveys that are limited to raster processing in the context of scientific data, this survey considers all types of arrays: rasters, data cubes, and tensors. The author's goal is to identify and analyze the most important research ideas on arrays and to serve two objectives: first, to summarize the most relevant work on multidimensional array data management by identifying the major research problems; and second, to organize this material to provide an accurate perspective on the state-of-the-art and future directions in array processing. Multidimensional Array Data Management covers all data management aspects, from array algebras and query languages to storage strategies, execution techniques, and operator implementations. Moreover, the author discusses which research ideas are adopted in real systems and how are they integrated in complete data processing pipelines. Finally, the author compares arrays with the relational data model. The result is a thorough survey on array data management that is an excellent resource for anyone interested in this topic, independent of experience level.

LC Classification NumberQA76.9.D3