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مدل بهبودیافته دولایه ای در طراحی سطح منطقی پایگاه داده تحلیلی | ||
| مدل سازی در مهندسی | ||
| مقاله 2، دوره 16، شماره 54، مهر 1397، صفحه 21-37 اصل مقاله (849.94 K) | ||
| نوع مقاله: مقاله کامپیوتر | ||
| شناسه دیجیتال (DOI): 10.22075/jme.2017.5631. | ||
| نویسندگان | ||
| محیا ارومیه1؛ نگین دانشپور* 2 | ||
| 1دانشگاه آزاد اسلامی- واحد قزوین | ||
| 2استادیار دانشگاه تربیت دبیر شهید رجایی | ||
| تاریخ دریافت: 28 مرداد 1394، تاریخ بازنگری: 11 خرداد 1396، تاریخ پذیرش: 25 مهر 1396 | ||
| چکیده | ||
| پایگاه داده تحلیلی، مخزن داده ای متمرکز، جمع آوری شده از منابع اطلاعاتی مختلف و ناهمگن در یک محدوده وسیع زمانی و برای پشتیبانی از سیستم های تصمیم یار می باشد. پایگاه داده تحلیلی منبع داده ای است که در فرایند تصمیم گیری از طریق پردازش تحلیلی بر خط استفاده می شود. فرایند توسعه یک پایگاه داده تحلیلی با تحلیل پایگاه داده عملیاتی، شناسایی نیازهای تحلیلی و نهایتا طراحی در سه سطح مفهومی، منطقی و فیزیکی انجام می شود. در این مقاله ابتدا مدل های طراحی موجود در سطوح مختلف پایگاه داده تحلیلی بررسی می شود. سپس مدل های سطح منطقی با توجه به خصوصیات مطرح در آن ها مقایسه و تحلیل شده، و نهایتا مدلی بهبودیافته در این سطح، برای فرایند طراحی پایگاه داده تحلیلی، ارائه می شود که ترکیبی از دو مدل ستاره ای و دانه برفی، به صورت دولایه ای است. به منظور مقایسه مدل پیشنهادی با مدل های موجود، از معیار زمان پاسخگویی به پرس وجوها استفاده شده است. آزمایشات نشان می دهد که مدل پیشنهادی منجر به بهبود زمان پاسخ به پرس وجوها می شود. در واقع زمان پاسخ به پرس وجوها در مدل پیشنهادی( دولایه ای) نسبت به مدل ستاره ای بطور متوسط 53/58 درصد و نسبت به مدل دانه برفی بطور متوسط 61/96 درصد بهبود می یابد. | ||
| کلیدواژهها | ||
| پایگاه داده تحلیلی در سطح مفهومی؛ پایگاه داده تحلیلی در سطح منطقی؛ مدل دانه برفی؛ مدل ستاره ای؛ طراحی پایگاه داده تحلیلی | ||
| عنوان مقاله [English] | ||
| An Improved two-layer Model in the Logical Level Data Warehouse Designing | ||
| نویسندگان [English] | ||
| Mahya Oroumiyeh1؛ Negin Daneshpour2 | ||
| 2Assistant Professor Shahid Rajaee Teacher Training University | ||
| چکیده [English] | ||
| Data warehouses are centralized repositories collected from various heterogeneous sources in a wide range of time (time-variant) for decision support systems. Data warehouses are data sources used in decision making processes by online analytical processing. The process of developing a data warehouse is done through operational database analyzing, analytical requirement identification and finally designing in conceptual, logical and physical levels. In this paper, the design models at different levels of data warehouses are researched and the logical level models are compared and analyzed with respect to their properties. Finally, an improved model is proposed in logical level that combines two models (star and snowflake) in the form of a two-layered model. Queries response time measure is used to compare the proposed model with existing models. Experiments show that the proposed model improves the response time of queries. In fact, the response time of queries on the proposed model (two-layer) is improved 58.53 percent in average versus star model, and 96.61 percent in average versus snowflake model. | ||
| کلیدواژهها [English] | ||
| Data Warehouse In conceptual level, Data Warehouse In logical level, Snowflake Schema, Star Schema, Data warehouse Designing | ||
| مراجع | ||
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