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Fundamentals of Data Warehouses

. XXXXXXX Neuer Text This book presents the first comparative review of the state-of-the-art and the best current practices of data warehouses. It;

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Data Warehouse Systems

data analytics. Lastly, Part III covers Advanced Topics such as spatial data warehouses; trajectory data warehouses; semantic technologies;

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Realizing Generic Data Warehouses by Generic SQL Programming

warehouses represent the highest degree of agile data warehouses, i.e., those that can be fast and inexpensively changed and extended. In principle;

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The Data Warehousing Handbook

Mattison explains what data warehouses are and how they work, key concepts of business reengineering, client/server technology, systems;

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Data Warehousing in the Real World

Data warehouses are the primary means by which businesses can gain competitive advantage through analyzing and using the information stored;

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Datawarehouse toolkit

, multidimensional data sets, provides concrete tools for designing, building, managing, and using dimensional data warehouses for different types;

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Filtering the Web to Feed Data Warehouses

of documents and data could facilitate decision-making processes in the organization. Filtering the Web to Feed Data Warehouses discusses areas such as;

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Advances in Databases and Information Systems

from theoretical foundations to optimizing index structures. They focus on data mining and machine learning, data warehouses and big data;

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Strategic Data Warehousing

Organization of data warehouses is a vital, but often neglected, aspect of growing an enterprise. Unlike most books on the subject that;

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Strategic Data Warehousing

Organization of data warehouses is a vital, but often neglected, aspect of growing an enterprise. Unlike most books on the subject that;

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Data Cleaning

Data warehouses consolidate various activities of a business and often form the backbone for generating reports that support important;

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Database & Data Warehousing Technologies

or more years) because this longer time periodical analysis is very significant for every business. Smaller data warehouses that include data;

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Big Data Fundamentals

Clarifying Big Data's relationships with OLTP, OLAP, ETL, data warehouses, and data marts Working with Big Data in structured, unstructured, semi;

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Big Data Analytics and Knowledge Discovery

warehouses; stream processing; applications of big data analysis; and big data.;

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Understanding Data and Information Systems for Recordkeeping

Make sense of the myriad options for managing records. Content management systems, data warehouses, relational databases - the ways an;

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Intelligent Data Warehousing

of these systems depends on the ability to construct, maintain, and extract information from data warehouses. While many still perceive data;

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Warehouse Management with SAP S/4HANA

cartonization. Get the most out of SAP S/4HANA for your warehouses! Highlights include: 1) Master data 2) Warehouse structures 3) Goods receipt and;

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Het Kloppende Hart Van Warehouses

'Opslagplaatsen voorzien ons niet alleen van wat we nodig hebben, ze bepalen onze welvaart, onze levensstandaard. Warehouses zijn de link;

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Guide to Fire Safety in Factories and Warehouses

Guide to Fire Safety in Factories and Warehouses is een boek van Office of the Deputy Prime Minister;

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Internet Computing and Big Data

Related Issues Game Technologies, Big Data, Web Mining, Databases, Resource Discovery and Web Services, Time-Series Analysis, and Data Warehouses;

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Data Lake Analytics on Microsoft Azure

Get a 360-degree view of how the journey of data analytics solutions has evolved from monolithic data stores and enterprise data warehouses;

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Data Warehouse im Rahmen der Business Intelligence

Warehouse-Projekten ma geblich vom Vorgehen im Projekt bestimmt ist. Voraussetzung f r die ingenieurm ige Entwicklung eines Data Warehouses ist;

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Essentials of Business Research

increasingly must make decisions based on almost unlimited information in data warehouses, this text provides substantially more coverage of data;

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Big Data Analytics and Knowledge Discovery

97 submissions. The papers are organized in the following topical sections: new generation data warehouses design; cloud and NoSQL databases;

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Data Warehousing Fundamentals for IT Professionals

Since the first edition of Data Warehousing Fundamentals, there has been an increase in enterprises either already having or in the process;

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Information Management

of information management and analytics to business, and how data warehouses are used Part 2: The technologies and data that advance an;

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Information Systems and Computing Technology

are computer hardware and software, telecommunications, databases and data warehouses, human resources, and procedures. With the development;

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