Big Data Integration and Processing Model

Big Data Processing: Big Challenges and Opportunities

With the rapid growth of emerging applications like social network, semantic web, sensor networks and LBS (Location Based Service) applications, a variety of data to be processed continues to witness a quick increase. Effective management and processing of large-scale data poses an interesting but critical challenge. Recently, big data has attracted a lot of attention from academia, industry as...

New Benchmarking Methodology and Programming Model for Big Data Processing

Big Data Integration : Complexity and Numerosity Challenges

A compiler translates a program written in a high-level programming language into machine code. In addition to performing the translation, the compiler applies many optimizations to the generated code to improve its performance. Since nearly all contemporary programs (both applications and systems) are written in high-level languages, the compiler plays an important role in determining performa...

Semantics for Big Data Integration and Analysis

Much of the focus on big data has been on the problem of processing very large sources. There is an equally hard problem of how to normalize, integrate, and transform the data from many sources into the format required to run large-scale analysis and visualization tools. We have previously developed an approach to semi-automatically mapping diverse sources into a shared domain ontology so that ...

Ocean Big Data Acquiring and Integration Technologies

Digital Earth is an integrated approach building scientific infrastructure. The ocean data is a typical big data, which can be seen from the data volume, velocity, variety, and value perspectives. The Digital Earth systems provide a threedimensional visualization and integration platform for ocean big data, which include ocean management data, in situ observation data, remote sensing observatio...