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Project governance, investment governance, and risk governance precepts are woven together in Self-Service Data Analytics and Governance;
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-service portal to support data discovery, quality, lineage, and governance Select the best approach for each self-service capability using open;
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model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics-are;
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learning, and fuzzy logic, this book is ideally designed for students, government officials, data scientists, managers, consultants, analysts, IT;
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learn how to engineer your use of these Azure Data Platform components for optimal performance and scalability. You will also learn to design;
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in Alteryx to practical use Who This Book Is For This book is for aspiring data professionals who want to learn and implement self-service;
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referred to as end-user analytics or self-serve analytics, are specifically designed for non-technical users such as managers and business;
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increasingly important field of government analytics provides invaluable knowledge and training for students of government in the synthesis;
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scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book;
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Sense features to create interactive dashboards Analyze data easily and make business decisions faster using Qlik Sense Perform self-service;
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for maximizing the powerful features of each application. You will also find out about stakeholders critical to project approval and success;
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Server, and understanding data visualizations. In the final chapters, you'll cover advanced use cases such as Self-Service Analytics, Time Series;
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Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures;
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intelligence for making better healthcare decisions. Identifying patterns and correlations contained in complex health data, analytics has applications;
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The data-driven, global business environment requires increasingly sophisticated decision support, analytics and business intelligence;
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including data analytics, prediction analysis, and software development, this book is ideally designed for academicians, researchers, information;
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about integrating analytics in networks. But successfully doing so requires a deep understanding of both networking and data, and that's a rare;
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the value of their data, this will be an essential guide for librarians and information professionals. Library Analytics and Metrics;
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, tools, and practices for creating business opportunities through data analytics. It features case studies that provide realistic examples;
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analysis and visualization Book DescriptionThe need for agile business intelligence (BI) is growing daily, and TIBCO Spotfire (R) combines self;
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An exciting new textbook examining big data and business analytics to look at how they can help managers become more effective decision;
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An exciting new textbook examining big data and business analytics to look at how they can help managers become more effective decision;
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data processing and storage * Discover the many uses for social media data in analysis and communication * Get up to speed on the latest;
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This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to;
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has evolved into using self-service analytics, data discovery, and most recently AI, AI Meets BI first lays out the three typical;
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has evolved into using self-service analytics, data discovery, and most recently AI, AI Meets BI first lays out the three typical;
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