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management, describes the functions of data managers, provides the business case for data management and introduces the student to concepts and tools;
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data management, describes the functions of data managers, provides the business case for data management and introduces the student to;
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including the Borda count. It explains how to transform data using normalization or scaling and standardization, as well as log, polynomial, and;
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Up until now, no one has attempted to lay out the entire blueprint for architecting a complete IT service management supporting;
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management, production logistics, quality management, resource management, energy management, and HR. Collecting vast real-time production data;
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of powerful functions to tackle all problems related to Big Data processing. The book will begin with a brief introduction to the Big Data world and;
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program Data governance programs often start off using programs such as Microsoft Excel and Microsoft SharePoint to document and;
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Learn how to use Python and its structures, how to install Python, and which tools are best suited for data analyst work. This book;
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Do you want to maximize your SAP ERP HCM Organizational Management implementation? Learn how by going beyond the basics and delving into;
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and improving data center robustness. The book then moves on to the use of Python and the management of SSH keys for machine-to-machine (M2M;
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, user-friendly introduction to the main theoretical and practical tools for analyzing complex systems. An ftp site features the corresponding;
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Real-world data sets are messy and complicated. Written for students in social science and public management, this authoritative but;
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Real-world data sets are messy and complicated. Written for students in social science and public management, this authoritative but;
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, SQL has a role as a leader and is continuously evolving to cover both transactional and analytical data management. This book discusses;
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Sharing knowledge is power. If ever there were a field to which this applies, it is the knowledge management industry. And in today's;
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Appropriate for Introduction to Hospitality courses within Hospitality Management & some Culinary Arts departments. A brief and;
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. Readers learn to enter and manipulate data, specify formulas and calculations, apply advanced financial and statistical functions, use charts and;
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industry's management structure and horizontally across functions that contribute to new product development. It demonstrates how to integrate the;
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in this area, both in applied and in fundamental subdomains. The topics covered range from a general introduction to graph data management, to;
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Construction of a Master Data Management Strategy. Methodologies and Tools;
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Introduction to Management in the Hospitality Industry, Eighth Edition is an updated revision of a popular textbook for the introductory;
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book starts by providing an introduction to network automation, and its applications, which include integrating DevOps tools to automate the;
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SAS Data Management for Public Health: An Introduction equips readers with the tools and knowledge they need to prepare public health data;
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more widely-used tools of the field such as MATLAB. Kelley provides a general introduction to R before introducing the 'oce' package. This;
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more widely-used tools of the field such as MATLAB. Kelley provides a general introduction to R before introducing the 'oce' package. This;
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The first textbook of its kind, Introduction to Accumark, Pattern Design, and PDM provides step-by-step instructions to Gerber Technology's;
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W3C standard to retrieve and manipulate the increasing amount of public and private data available via SPARQL endpoints. Several open source;
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