Declarative Data Analytics: A Survey
نویسندگان
چکیده
The area of declarative data analytics explores the application paradigm on science and machine learning. It proposes languages for expressing analysis tasks develops systems which optimize programs written in those languages. execution engine can be either centralized or distributed, as advocates independence from particular physical implementations. survey a wide range frameworks by examining both programming model optimization techniques used, order to provide conclusions current state art identify open challenges.
منابع مشابه
A Survey of Big Data Analytics
Due to the arrival of new technologies, devices, and communication means, the amount of data produced by mankind is growing rapidly every year. This gives rise to the era of big data. The term big data comes with the new challenges to input, process and output the data. The paper focuses on limitation of traditional approach to manage the data and the components that are useful in handling big ...
متن کاملA Fuzzy TOPSIS Approach for Big Data Analytics Platform Selection
Big data sizes are constantly increasing. Big data analytics is where advanced analytic techniques are applied on big data sets. Analytics based on large data samples reveals and leverages business change. The popularity of big data analytics platforms, which are often available as open-source, has not remained unnoticed by big companies. Google uses MapReduce for PageRank and inverted indexes....
متن کاملRogas: A Declarative Framework for Network Analytics
Network analytics has become increasingly popular in recent years. Various graph systems have been developed for analysing networks, while network data is still largely stored and managed in relational database systems in the first place. As two separate systems are often used to manage and analyse network data, it not only increases the difficulty for users to learn and maintain these differen...
متن کاملLearning Analytics: A Survey
Learning analytics is a research topic that is gaining increasing popularity in recent time. It analyzes the learning data available in order to make aware or improvise the process itself and/or the outcome such as student performance. In this survey paper, we look at the recent research work that has been conducted around learning analytics, framework and integrated models, and application of ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Knowledge and Data Engineering
سال: 2021
ISSN: ['1558-2191', '1041-4347', '2326-3865']
DOI: https://doi.org/10.1109/tkde.2019.2958084