Architecture Considerations for Big Data Management
نویسندگان
چکیده
منابع مشابه
Architecture Considerations for Big Data Management
A network architecture is concerned with holistic view of interconnection of different nodes with each other. This refers to both physical and logical ways of interconnection of all nodes in the network. The way in which they are connected influences the strategies adopted for Big Data Management. In this present day of Internet of Things (IoT), each kind of device is required and made possible...
متن کاملAn Architecture for Security and Protection of Big Data
The issue of online privacy and security is a challenging subject, as it concerns the privacy of data that are increasingly more accessible via the internet. In other words, people who intend to access the private information of other users can do so more efficiently over the internet. This study is an attempt to address the privacy issue of distributed big data in the context of cloud computin...
متن کاملResearch statement - Architectural Considerations for Big Data
Big data analytics are the driving force behind the current revolution in computing architectures and system designs. While a plethora of research has focused on designing the computing fabric for big data analytics, limited research has focused on building a storage system architecture to enable big data acceleration. My current research bridges this gap by designing storage systems for big da...
متن کاملA Reference Architecture for Big Data Solutions
With big data technology and predictive analytics techniques, organizations can now register, combine, process and analyze data to answer questions that were unsolvable a few years ago. This paper introduces a solution reference that gives guidance to organizations that want to innovate using big data technology and predictive analytics techniques for improving their performance. The reference ...
متن کاملReal-Time Data Management for Big Data
Users have come to expect reactivity from mobile and web applications, i.e. they assume that changes made by other users become visible immediately. However, developers are challenged with building reactive applications on top of traditional pulloriented databases, because they are ill-equipped to push new information to the client. Systems for data stream management and processing, on the othe...
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: International Journal of Advanced Computer Science and Applications
سال: 2016
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2016.070845