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data warehousing (DW), and very often appoint a single senior-level individual to serve as the Enterprise BI/DW Program Manager. This book;
Vergelijkbare producten zoals Enterprise Business Intelligence and Data Warehousing
(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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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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Open Source Data Warehousing and Business Intelligence is an all-in-one reference for developing open source based data warehousing (DW;
Vergelijkbare producten zoals 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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Designing complex analytical data structures is difficult enough, but to do it for an entire enterprise becomes a real challenge. This;
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Business Intelligence and Data Warehousing deals with the main components of a data warehouse for business intelligence applications;
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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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If you wish to deploy Informatica in enterprise environments and make a career in data warehousing, then this book is for you. Whether you;
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Data Modeling for Agile Data Warehouse using Data Vault Modeling Approach. Includes Enterprise Data Warehouse Architecture. This is a;
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Metadata is increasingly central to enterprise IT architecture, and to applications ranging from data warehousing to CRM. Finally, there's;
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Data Warehousing ist seit einigen Jahren in vielen Branchen ein zentrales Thema. Die anfangliche Euphorie tauschte jedoch daruber hinweg;
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You have to make sense of enormous amounts of data, and while the notion of "agile data warehousing" might sound tricky, it can yield;
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to any online entitlements included with the product. SQL Server 2005 is Microsoft's next-generation data management and analysis;
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Construct and implement a data warehousing plan. In their efforts to collect information that will give them an edge, many companies have;
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Intelligent Enterprises will bring together far more diverse sources of data, analyze it in more powerful ways, and deliver immediate insight to;
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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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Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments;
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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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To fulfill the objectives of data warehouse, a number of front-end tools and back-end tools are required. Front-end tools include analysis;
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This book constitutes the refereed proceedings of the 13th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2011;
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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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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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Develop modern solutions with Snowflake's unique architecture and integration capabilities; process bulk and real-time data into a data;
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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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businesses recognize and are working feverishly to solve. Enterprise Knowledge Management: The Data Quality Approach presents an easily;
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