نتایج جستجو برای: بانکهای اطلاعاتی nosql

تعداد نتایج: 18867  

ژورنال: :پژوهشنامه پردازش و مدیریت اطلاعات 0
لیلا مرتضایی مرکز اطلاعات و مدارک علمی ایران

در کشورهایی که سنت ایجاد پایگاه های اطلاعاتی نوپا است, طراحی پایگاه اطلاعاتی موضوعی مسایل و مشکلات فراوانی به همراه دارد. بخشی از این مسایل جزء ماهیت کار, و بین اغلب پایگاه های اطلاعاتی مشترک است و بخشی دیگر از ویژگی های زبانی و فرهنگی – اجتماعی ناشی میشود. در ایجاد بانک اطلاعات علوم تربیتی ایران, فقدان اصطلاحنامه تخصصی فارسی سبب گردید تا برای تدوین واژگان مهار شده از اصطلاح های علوم تربیتی فار...

2016
Mohamad Omar Nachawati Alexander Brodsky Juan Luo

Enterprises across all industries increasingly depend on decision guidance systems (DGSs) to facilitate decisionmaking across all lines of business. Despite significant technological advances, current DGS development paradigms lead to a tight-integration of the analytics models, methods and underlying tools that comprise these systems, often inhibiting extensibility, reusability and interoperab...

Journal: :CoRR 2011
Christian von der Weth Anwitaman Datta

NoSQL systems are more and more deployed as back-end infrastructure for large-scale distributed online platforms like Google, Amazon or Facebook. Their applicability results from the fact that most services of online platforms access the stored data objects via their primary key. However, NoSQL systems do not efficiently support services referring more than one data object, e.g. the term-based ...

2014
Richard K. Lomotey Ralph Deters

Due to the unstructured nature of modern digital data, NoSQL storages have been adopted by some enterprises as the preferred storage facility. NoSQL storages can store schema-oriented, semi-structured, schema-less data. A type of NoSQL storage is the document-append storage (e.g., CouchDB and Mongo) which has received high adoption due to its flexibility to store JSON-based data and files as at...

Journal: :PVLDB 2014
Sattam Alsubaiee Yasser Altowim Hotham Altwaijry Alexander Behm Vinayak R. Borkar Yingyi Bu Michael J. Carey Inci Cetindil Madhusudan Cheelangi Khurram Faraaz Eugenia Gabrielova Raman Grover Zachary Heilbron Young-Seok Kim Chen Li Guangqiang Li Ji Mahn Ok Nicola Onose Pouria Pirzadeh Vassilis J. Tsotras Rares Vernica Jian Wen Till Westmann

AsterixDB is a new, full-function BDMS (Big Data Management System) with a feature set that distinguishes it from other platforms in today’s open source Big Data ecosystem. Its features make it well-suited to applications like web data warehousing, social data storage and analysis, and other use cases related to Big Data. AsterixDB has a flexible NoSQL style data model; a query language that su...

هدف از پژوهش حاضر، بررسی رفتار اطلاع یابی اعضای هیات علمی دانشگاه علامه طباطبائی در استفاده از منابع اطلاعاتی پیوسته بوده است. روش این پژوهش از نوع کاربردی و به روش توصیفی پیمایشی اجرا شده است. ابزار مورد استفاده برای جمع آوری داده‌ها پرسشنامه‌ای محقق ساخته بوده که در بین 472 نفر از اعضای هیأت علمی دانشگاه علامه طباطبائی توزیع شده است. یافته‌های پژوهش نشان داد 80 درصد اعضای هیات علمی  از طریق ج...

2014
Sanghyun Park Mincheol Shin

Big data real-time processing aims for faster retrieval of data and analysis. Lately, in order to accelerate real-time processing, big data platforms are trying to exploit NAND flash based storage devices, especially SSDs. NoSQL DBMSs have been used for real-time management of big data which significantly depends on index structures to efficiently manage data. Previous research about flash-awar...

2016
Haridimos Kondylakis Antonis Fountouris Dimitris Plexousakis

Over the last few years we witness an explosion on the development of data management solutions for big data applications. To this direction NoSQL databases provide new opportunities by enabling elastic scaling, fault tolerance, high availability and schema flexibility. Despite these benefits, their limitations in the flexibility of query mechanisms impose a real barrier for any application tha...

2017
Jiaheng Lu Irena Holubová

As more businesses realized that data, in all forms and sizes, is critical to making the best possible decisions, we see the continued growth of systems that support massive volume of non-relational or unstructured forms of data. Nothing shows the picture more starkly than the Gartner Magic quadrant for operational database management systems, which assumes that, by 2017, all leading operationa...

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