مشخصات مقاله | |
انتشار | مقاله سال 2017 |
تعداد صفحات مقاله انگلیسی | 7 صفحه |
هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
منتشر شده در | نشریه الزویر |
نوع مقاله | ISI |
عنوان انگلیسی مقاله | Data Warehouse with Big Data Technology for Higher Education |
ترجمه عنوان مقاله | مخزن داده با فناوری کلان داده برای آموزش عالی |
فرمت مقاله انگلیسی | |
رشته های مرتبط | مهندسی فناوری اطلاعات، مهندسی کامپیوتر |
گرایش های مرتبط | مدیریت سیستم های اطلاعات |
مجله | علوم کامپیوتر پروسیدیا – Procedia Computer Science |
دانشگاه | Petra Christian University – Surabaya – Indonesia |
کلمات کلیدی | انبار داده، داده بزرگ، علمی، Hadoop، آموزش عالی، تحلیل و بررسی |
کلمات کلیدی انگلیسی | Data Warehouse; Big Data; Academic; Hadoop; Higher Education; Analysis |
کد محصول | E6091 |
وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
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Introduction Higher educations are working in a more and more complex and competitive environment. They have to compete with other institutions to answer to national and global economic, political and social changes. Moreover, different stakeholders are expecting higher education institutions to produce right solution in a timely manner to these demands. To overcome this condition, higher education needs to produce the right decisions required for dealing with these rapid changes by analyzing vast data sources that have been generated. Most of higher education institution invest enormous resources in information technology to implement data warehouse system [1]. The development of data warehouse is a way to extract the important information from the scattered data in some information systems into a centralized integrated storage and support the need for data history. This integrated data can be utilized for information delivery activities that can be reviewed from various dimensions and can be set the level of detail. Further utilization of the information contained in the data warehouse is the activity of data analysis using certain techniques and methods. There are several algorithm for knowledge data discovery, like classifying, clustering and mining [2]. The data contained in the data warehouse can used as input for the application system for example like a dashboard. With the existence of this dashboard is expected to be a solution for the learning process to monitor the academic condition and then could take the right decision. However, organizations are recognizing that traditional data warehouse technologies are dying to meet new business requirements, especially around streaming data, real-time analytics, large volumes of unstructured and complex data sets. |