Big Data Analytics—Analysis and Comparison of Various Tools

[1]  Ze Ni.  Comparative Evaluation of Spark andStratosphere , 2013 .

[2]  John Langford,et al.  Scaling up machine learning: parallel and distributed approaches , 2011, KDD '11 Tutorials.

[3]  Tom White,et al.  Hadoop: The Definitive Guide , 2009 .

[4]  Aart J. C. Bik,et al.  Pregel: a system for large-scale graph processing , 2010, SIGMOD Conference.

[5]  Luis Leopoldo Perez,et al.  A comparison of platforms for implementing and running very large scale machine learning algorithms , 2014, SIGMOD Conference.

[6]  Jimmy J. Lin,et al.  Large-scale machine learning at twitter , 2012, SIGMOD Conference.

[7]  María José del Jesús,et al.  Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks , 2014, WIREs Data Mining Knowl. Discov..

[8]  Scott Shenker,et al.  Making Sense of Performance in Data Analytics Frameworks , 2015, NSDI.

[9]  Satish Narayana Srirama,et al.  Evaluating MapReduce frameworks for iterative Scientific Computing applications , 2014, 2014 International Conference on High Performance Computing & Simulation (HPCS).

[10]  David Ellsworth,et al.  Managing Big Data for Scientific Visualization , 2015 .

[11]  Michael D. Ernst,et al.  HaLoop , 2010, Proc. VLDB Endow..

[12]  Saeed Shahrivari,et al.  Beyond Batch Processing: Towards Real-Time and Streaming Big Data , 2014, Comput..

[13]  HerreraFrancisco,et al.  Big Data with Cloud Computing , 2014 .

[14]  Scott Shenker,et al.  Fast and Interactive Analytics over Hadoop Data with Spark , 2012, login Usenix Mag..

[15]  Carlo Curino,et al.  Apache Hadoop YARN: yet another resource negotiator , 2013, SoCC.

[16]  Cees T. A. M. de Laat,et al.  Addressing big data issues in Scientific Data Infrastructure , 2013, 2013 International Conference on Collaboration Technologies and Systems (CTS).

[17]  Gang Chen,et al.  Efficient In-memory Data Management: An Analysis , 2014, Proc. VLDB Endow..