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Welcome to "CSS Multi-Column Layout". In this book, you'll learn how to use the Multi-Column Layout module to create elegant and responsive multi-column layouts used in newspapers and magazines.
Build kickass websites and applications for all mobile (and non-mobile) platforms by adding HTML5 and CSS3 to your web development toolkit. With this hands-on book, you’ll learn how to develop web apps that not only work on iOS, Android, Blackberry, and Windows Phone, but also perform well and provide good user experience. With lots of code and markup examples, you’ll learn best practices for using HTML5 features, including new web forms, SVG, Canvas, localStorage, and related APIs. You’ll also get an in-depth look at CSS3, and discover how to design apps for large monitors and tiny screens alike. Learn HTML5’s elements, syntax, and semantics Build forms that provide enhanced usability with less JavaScript Explore HTML5 media APIs for graphics, video, and audio Enable your applications to work offline, using AppCache, localStorage, and other APIs Learn what you need to know about CSS3 selectors and syntax Dive into CSS3 features such as multiple backgrounds, gradients, border-images, transitions, transforms, and animations Make your web applications usable, responsive, and accessible. Design for performance, user experience, and reliability on all platforms
The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. It demonstrates how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. It includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. This book is recommended for data management practitioners, including database analysts, information analysts, data administrators, data architects, enterprise architects, data warehouse engineers, and systems analysts, and their managers. - Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. - Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. - Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning.