Description: Big Data by Maribel Yasmina Santos, Carlos Costa This book addresses models and methods for designing and implementing Big Data Systems to support mixed and complex decision processes, giving special attention to BDWs as a way of efficiently storing and processing batch or streaming data for structured or semi-structured analytical problems. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description Big Data is a concept of major relevance in todays world, sometimes highlighted as a key asset for productivity growth, innovation, and customer relationship, whose popularity has increased considerably during the last years. Areas like smart cities, manufacturing, retail, finance, software development, environment, digital media, among others, can benefit from the collection, storage, processing, and analysis of Big Data, leveraging unprecedented data-driven workflows and considerably improved decision-making processes.The concept of a Big Data Warehouse (BDW) is emerging as either an augmentation or a replacement of the traditional Data Warehouse (DW), a concept that has a long history as one of the most valuable enterprise data assets. Nevertheless, research in Big Data Warehousing is still in its infancy, lacking an integrated and validated approach for designing and implementing both the logical layer (data models, data flows, and interoperability between components) and the physical layer (technological infrastructure) of these complex systems.This book addresses models and methods for designing and implementing Big Data Systems to support mixed and complex decision processes, giving special attention to BDWs as a way of efficiently storing and processing batch or streaming data for structured or semi-structured analytical problems. Author Biography Maribel Yasmina Santos, Carlos Costa Table of Contents The AuthorsAcknowledgmentsForewordNotation1. Introduction2. Big Data Concepts, Techniques and Technologies3. OLTP-oriented Databases for Big Data Environments4. LAP-oriented Databases for Big Data Environments5. Design and Implementation of Big Data Warehouses6. Big Data Warehouses Modelling: From Theory to Practice7. Fuelling Analytical Objects in Big Data Warehouses8. Evaluating the Performance of Big Data Warehouses9. Big Data Warehousing in Smart Cities10. ConclusionReferencesIndex Details ISBN8770221847 Author Carlos Costa Publisher River Publishers Series River Publishers Series In Information Science And Technology Year 2020 ISBN-10 8770221847 ISBN-13 9788770221849 Format Hardcover Short Title Big Data Language English Subtitle Concepts, Warehousing, and Analytics Imprint River Publishers Place of Publication Gistrup Country of Publication Denmark Pages 314 Publication Date 2020-03-30 UK Release Date 2020-03-30 DEWEY 005.745 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:139873113;
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ISBN-13: 9788770221849
Book Title: Big Data
Publisher: River Publishers
Publication Year: 2020
Subject: Computer Science
Number of Pages: 312 Pages
Language: English
Publication Name: Big Data: concepts, Warehousing, and Analytics
Type: Textbook
Author: Maribel Yasmina Santos, Carlos Costa
Format: Hardcover