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Data Warehousing in the Age of Big Data

Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing;

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Big Data Analytics and Knowledge Discovery

. The papers are organized in topical sections on Mining Big Data, Applications of Big Data Mining, Big Data Indexing and Searching, Big Data;

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Emerging Perspectives in Big Data Warehousing

The concept of a big data warehouse appeared in order to store moving data objects and temporal data information. Moving objects are;

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Web Age Information Management

from 164 submissions. The focus of the conference is on following topics: advanced database and web applications, big data analytics big data;

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Big Data Analytics and Knowledge Discovery

This book constitutes the refereed proceedings of the 17th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2015;

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Data Science

2 comprehensive manuscripts in 1 book Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics;

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Data Mining and Data Warehousing Principles and Practical Techniques

, associate mining, data marts and operational data store are discussed comprehensively. The textbook is written to cater to the needs;

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Analytical Puzzle

Do you enjoy completing puzzles? Perhaps one of the most challenging (yet rewarding) puzzles is delivering a successful data warehouse;

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Big Data Analytics and Knowledge Discovery

This volume LNCS 12925 constitutes the papers of the 23rd International Conference on Big Data Analytics and Knowledge Discovery, held;

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Next Generation Big Data

with next-generation big data technologies. Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern;

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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 Big Data Applications

Building Big Data Applications helps data managers and their organizations make the most of unstructured data with an existing data;

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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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Big Data and Smart Digital Environment

This book reviews the state of the art of big data analysis and smart city. It includes issues which pertain to signal processing;

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Big Data and Smart Digital Environment

This book reviews the state of the art of big data analysis and smart city. It includes issues which pertain to signal processing;

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Big Data

fields, Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational;

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Big Data

fields, Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational;

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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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Big Data and Networks Technologies

This book reviews the state of the art in big data analysis and networks technologies. It addresses a range of issues that pertain to;

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Data Warehousing in Action

of this data in a system that allows for rapid retrieval of customized information, is the solution. This book, written by a data warehousing;

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XXI

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and;

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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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Data Warehousing and Knowledge Discovery

abilities in data analysis, decision support, and the automatic extraction of knowledge from data. With the exponentially growing amount;

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Structured Search for Big Data

The WWW era made billions of people dramatically dependent on the progress of data technologies, out of which Internet search and Big;

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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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Big Data

, software development, environment, digital media, among others, can benefit from the collection, storage, processing, and analysis of Big Data;

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Data Warehousing and Knowledge Discovery

This book constitutes the refereed proceedings of the 13th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2011;

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