This thesis is focused on the distributed Big Data processing on the Java platform, together with graph databases. It analyses several graph database distributions and the possibilities to connect them to the Apache Hadoop system for distributed data processing. For the purpose of testing database solutions effectiveness, the thesis outcome is an application, which is downloading data from social networks Twitter and Facebook. It is able to write and analyse data with two different database frameworks which are Halyard and HGraphDB
Abstract—the rising number of applications serving millions of users and dealing with terabytes of d...
The exponential growth of data continues to increase in human life, the data is sourced from sensor ...
Big data is a method used to keep, distribute and the datasets which can be massive sized are analyz...
The thesis covers the term for specific data analysis called Big Data. The thesis firstly defines th...
Distribution as a concept means that a task (for example, data storage or code execution) is paralle...
AbstractHadoop is Java based programming framework for distributed storage and processing of large d...
Information acquired and processed by government agencies and made available to the public via a web...
With the advent of cloud computing, resizable scalable infrastructures for data processing is now av...
This thesis focuses on comparison of the Apache Hadoop big data processing framework distributions. ...
This work deals with the description and analysis of the Big Data concept and its processing and use...
The term, Big Data, has been authored to refer to the extensive heave of data that can't be managed ...
Hadoop is Java based programming framework for distributed storage and processing of large data sets...
This master‘s thesis focuses on distributed processing of big data from network communication....
The Brazilian Ministry of Planning, Budgeting and Management (MPOG) has to deal with enormous amount...
Big data is ubiquitous today. The big data challenges current numeric statistical and machine learni...
Abstract—the rising number of applications serving millions of users and dealing with terabytes of d...
The exponential growth of data continues to increase in human life, the data is sourced from sensor ...
Big data is a method used to keep, distribute and the datasets which can be massive sized are analyz...
The thesis covers the term for specific data analysis called Big Data. The thesis firstly defines th...
Distribution as a concept means that a task (for example, data storage or code execution) is paralle...
AbstractHadoop is Java based programming framework for distributed storage and processing of large d...
Information acquired and processed by government agencies and made available to the public via a web...
With the advent of cloud computing, resizable scalable infrastructures for data processing is now av...
This thesis focuses on comparison of the Apache Hadoop big data processing framework distributions. ...
This work deals with the description and analysis of the Big Data concept and its processing and use...
The term, Big Data, has been authored to refer to the extensive heave of data that can't be managed ...
Hadoop is Java based programming framework for distributed storage and processing of large data sets...
This master‘s thesis focuses on distributed processing of big data from network communication....
The Brazilian Ministry of Planning, Budgeting and Management (MPOG) has to deal with enormous amount...
Big data is ubiquitous today. The big data challenges current numeric statistical and machine learni...
Abstract—the rising number of applications serving millions of users and dealing with terabytes of d...
The exponential growth of data continues to increase in human life, the data is sourced from sensor ...
Big data is a method used to keep, distribute and the datasets which can be massive sized are analyz...