Corpus ID: 15891824

Using Big Data Technology for Information Management in Hybrid Learning System

@inproceedings{Thanchalatudom2013UsingBD,
  title={Using Big Data Technology for Information Management in Hybrid Learning System},
  author={Sirivimol Thanchalatudom and N. Assawamekin},
  year={2013}
}
hybrid learning system merges between face-to-face learning in the classroom and e-learning together. This system is applied in the University of the Thai Cham ber of Commerce, named UTCC hybrid learning system. It can effectively improve learning in the university because the UTCC hybrid learning system can adapt to the changing educational behavior from stude nts, instructors as well as the m odern materials and contents. However, we have found that this hybrid learning style continues to… Expand

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References

SHOWING 1-10 OF 18 REFERENCES
Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
TLDR
This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. Expand
Considerations for big data: Architecture and approach
  • K. Bakshi
  • Computer Science
  • 2012 IEEE Aerospace Conference
  • 2012
TLDR
MapReduce, in conjunction with the Hadoop Distributed File System (HDFS) and HBase database, as part of the Apache Hadoops project is a modern approach to analyze unstructured data. Expand
Mixing it up: more experiments in hybrid learning
This paper is a follow-up to our initial study on offering a hybrid instructional format that combined students from the traditional face-to-face and online environments. During a second term, weExpand
Hadoop Hbase-0.20.2 performance evaluation
TLDR
The current work's purpose is to evaluate the performances of the Hbase-0.20.2 implementation in comparison with the performances offered by BigTable, and to investigate how they are affected by increasing the number of servers, by theNumber of column families and by the system configuration parameters. Expand
Hadoop: The Definitive Guide
TLDR
This comprehensive resource demonstrates how to use Hadoop to build reliable, scalable, distributed systems: programmers will find details for analyzing large datasets, and administrators will learn how to set up and run Hadoops clusters. Expand
Bigtable: A Distributed Storage System for Structured Data
TLDR
The simple data model provided by Bigtable is described, which gives clients dynamic control over data layout and format, and the design and implementation of Bigtable are described. Expand
Benchmarking cloud serving systems with YCSB
TLDR
This work presents the "Yahoo! Cloud Serving Benchmark" (YCSB) framework, with the goal of facilitating performance comparisons of the new generation of cloud data serving systems, and defines a core set of benchmarks and reports results for four widely used systems. Expand
From Databases to Big Data
  • S. Madden
  • Computer Science
  • IEEE Internet Comput.
  • 2012
TLDR
The author discusses the origins of this trend, the relationship between big data and traditional databases and data processing platforms, and some of the new challenges that big data presents. Expand
Best Practices for Managing Big Data
  • Best Practices for Managing Big Data
  • 2012
Best Practices for Managing Big Data. Forbes
  • Namfon Assawamekin
  • 2012
...
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