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Enterprise Business Intelligence and Data Warehousing

data warehousing (DW), and very often appoint a single senior-level individual to serve as the Enterprise BI/DW Program Manager. This book;

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Business Intelligence and Data Warehousing

Business Intelligence and Data Warehousing deals with the main components of a data warehouse for business intelligence applications;

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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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Analytical Puzzle

suitable for data mining and analytics. The Analytical Puzzle describes an unbiased, practical, and comprehensive approach to building a data;

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Computational Intelligence in Communications and Business Analytics

); computational intelligence; data science and advanced data analytics; and intelligent data mining and data warehousing.;

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Open Source Data Warehousing and Business Intelligence

Open Source Data Warehousing and Business Intelligence is an all-in-one reference for developing open source based data warehousing (DW;

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Open Source Data Warehousing and Business Intelligence

Open Source Data Warehousing and Business Intelligence is an all-in-one reference for developing open source based data warehousing (DW;

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Data Warehouse Lifecycle Toolkit

A thorough update to the industry standard for designing, developing, and deploying data warehouse and business intelligence systems The;

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Modern Enterprise Business Intelligence and Data Management

(BI) and data warehousing implementations at the dawn of the "Big Data Era".and most see a critical need to revitalize their current;

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Modeling the Agile Data Warehouse with Data Vault

complete guide to the data vault data modeling approach. The book also includes business and program considerations for the agile data warehousing;

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Business Intelligence Applied

2000s. With the recent surge in interest in data analytics and big data, it has seen a renewed level of interest as the ability of a business to;

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Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide

friendly approach, with the opportunity to learn by experimenting. If you are a BI and Data Warehouse developer new to Microsoft Business;

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Business Intelligence - Grundlagen Und Praktische Anwendungen

Bereich Data Warehousing. Ziel ist die Realisierung eines Gesamtkonzeptes. Charakteristika sind eine konsistente, harmonisierte Datenhaltung, eine;

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Business Intelligence Analytics Grundlagen und praktische Anwendungen

Bereich Data Warehousing. Ziel ist die Realisierung eines Gesamtkonzeptes. Charakteristika sind eine konsistente, harmonisierte Datenhaltung, eine;

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Fundamentals of Data Warehouses

The first comparative review of the state of the art and best current practice in data warehousing. It covers source and data integration;

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Data Warehouse Toolkit 3rd

Updated new edition of Ralph Kimball's groundbreaking book on dimensional modeling for data warehousing and business intelligence! The;

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Data Warehousing Essentials

A data warehouse (DW) is a system used in computing for data analysis and reporting. It is a core component of business intelligence. It;

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Data Warehousing and Knowledge Discovery

Data warehousing and knowledge discovery has been widely accepted as a key te- nology for enterprises and organizations to improve their;

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Business Intelligence

Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the;

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Business Intelligence

Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the;

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Big Data Analytics and Knowledge Discovery

This book constitutes the refereed proceedings of the 18th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2016;

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Proceedings of International Conference on Computational Intelligence and Data E

intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering;

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Decision Intelligence Analytics and the Implementation of Strategic Business Management

This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data;

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Getting Started with Greenplum for Big Data Analytics

Standard tutorial-based approach. Getting Started with Greenplum for Big Data Analytics is great for data scientists and data analysts with;

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Building a Data Warehouse

defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases;

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Computational Methods and Data Engineering

This book gathers selected high-quality research papers from the International Conference on Computational Methods and Data Engineering;

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Computational Methods and Data Engineering

This book gathers selected high-quality research papers from the International Conference on Computational Methods and Data Engineering;

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