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these stories? If you answered yes to any of these questions, then this book is for you. How Libraries Should Manage Data provides detailed;
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Research Data explores how these technologies are used and provides detailed analysis of the approaches and tools developed to manage scientific;
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. Once you set up your Oozie server, you'll dive into techniques for writing and coordinating workflows, and learn how to write complex data;
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Explore GIS processing and learn to work with various tools and libraries in Python. Key Features Analyze and process geospatial data using;
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troubleshoot Java libraries for Oracle object types Use the utl_file package to manage unstructured and structured data Develop and deploy Java I/O;
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how to draw various plots with Matplotlib and Seaborn, the non-interactive data visualization libraries. You'll study different types;
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Seminary Clearly written with useful checklists, guidelines, and examples, How to Manage, Analyze, and Interpret Survey Data shows readers how;
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This book shows you how to harness the power of linked data and web-scale discovery systems to manage and link widely varied content across;
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to users how to deploy their data-intensive Hadoop and Spark clusters on top of OpenStack. It will also cover how to use the Sahara REST API;
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Data, Distributed Technologies and Machine Learning Learn how to design, develop and interpret the results of common Machine Learning;
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Stanek doesn't just show you the steps you need to follow, he also tells you how features work, why they work, and how you can customize them to;
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makes freely available. It illustrates how user-created libraries can be installed and used in real data analysis, focusing on a handful;
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countries deploy their policy toolkits in response. The data-driven analysis should contribute to ongoing reflections about how to manage volatile;
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How should we allocate NHS resources between different patients and treatments? Increasingly, patients are regarded as 'consumers;
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The latest inventions in internet technology influence most of business and daily activities. Internet security, internet data management;
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, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how;
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how to manage an organization's business process and domain data and presents new software and hardware testing methods. The book introduces a;
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matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably;
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analyse and synthesise my data? - How should I write up the discussion and conclusion sections of my dissertation or thesis?
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together materials that comprehensively describe the challenges of data management and how to meet them by: Defining a set of guiding principles;
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use and incorporate these security features into your apps. What You Will Learn Identify data that should be secured Use;
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