Ditemukan 3 dokumen yang sesuai dengan query
Berman, Jules J.
""Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators. . Learn general methods for specifying Big Data in a way that is understandable to humans and to computers. . Avoid the pitfalls in Big D"
Amsterdam: Morgan Kaufmann , 2013
005.74 BER p
Buku Teks Universitas Indonesia Library
Hengky Latan
Alfabeta : Bandung , 2014
004.77 LAT a
Buku Teks Universitas Indonesia Library
Collins, Mark J.
"As an Office 365 developer, build custom SharePoint apps in Visual Studio using HTML5, CSS, and jQuery. Create declarative workflow applications with Visio and SharePoint Designer. Use Access Web Database to publish your data on the web, or write Exchange and Lync applications. All these possibilities and more are covered. You also have unprecedented control and flexibility over how you use these technologies in your applications. With a powerful set of Office 365 APIs, you can now access and integrate Office 365 data directly into your web or native applications, with full control of authentication, authorization and discovery.
"
New York : Springer, 2012
e20425603
eBooks Universitas Indonesia Library