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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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Web feed syndication is analogous to electronic newsletters, both are aimed at delivering feeds to subscribers; the difference is that;
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Related Issues Game Technologies, Big Data, Web Mining, Databases, Resource Discovery and Web Services, Time-Series Analysis, and Data Warehouses;
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Cybermetric Techniques to Evaluate Organizations Using Web-Based Data proposes a complete and multifaceted analysis model, integrating;
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in data warehouses and novel technologies like Map Reduce, column-store databases and in-memory databases. As a key characteristic of the book;
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producers, including videographers and graphic designers producing for the Web and other media, need to learn the many details of producing digital;
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multimedia data (images, video, audio, text, and web) and for their features, such as colour, texture, shape, and time, the book presents data;
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is, why it is needed, and how it is generally used to model data for both databases and data warehouses, along with tips and warnings. Blank;
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databases, data warehouses, stored procedures, triggers, data macros and Web Apps. This introduction to database is ideal for mastering today's;
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Data warehouses are the primary means by which businesses can gain competitive advantage through analyzing and using the information stored;
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OLAP enables users to access information from multidimensional data warehouses almost instantly, to view information in any way they like;
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A leading proponent of the dimensional data warehouse, a database model designed to improve managers' ability to quickly analyze large;
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, Links, Semantics, Validation and other issues concerning machine-readable data on the Web, to describe them in detail, to provide examples;
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work with data access at the database, business logic, or presentation levels. Discover how to: Query complex data with powerful Transact-SQL;
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to achieving successful and sustainable alignment of data warehouses and business goals. More complete than any other text in the field, this;
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to achieving successful and sustainable alignment of data warehouses and business goals. More complete than any other text in the field, this;
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Data warehouses consolidate various activities of a business and often form the backbone for generating reports that support important;
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positional importance of data whilst purifying it. Finally, preservation of memory in the data is crucial to extract smart data from noisy big data;
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from theoretical foundations to optimizing index structures. They focus on data mining and machine learning, data warehouses and big data;
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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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distributed databases, data warehouses, stored procedures, triggers, data macros and Web Apps. Completely redesigned MindTap digital resources provide;
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need to know-starting with simple data retrieval and quickly going on to more complex topics including the use of joins, subqueries, stored;
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typically needs to fully cover one or more business areas (e.g., procurement, sales), and the data in the data warehouse needs to be comprehensive;
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development and maintenance of data warehouses, thanks to its reputation of being able to handle 'big data'. This book will help you learn the pros;
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Mattison explains what data warehouses are and how they work, key concepts of business reengineering, client/server technology, systems;
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, computer vision and the Web as well as their applications in big data, bioinformatics, biometrics, decision support, knowledge management, privacy;
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, data mining, speech, computer vision and the Web as well as their applications in big data, bioinformatics, biometrics, decision support;
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