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Big Data 2.0 Processing Systems : A Survey

By: Sakr, Sherif.
Material type: TextTextSeries: eBooks on Demand.SpringerBriefs in Computer Science: Publisher: Cham : Springer International Publishing, 2016Description: 1 online resource (111 p.).ISBN: 9783319387765.Subject(s): Big dataGenre/Form: Electronic books.Additional physical formats: Print version:: Big Data 2.0 Processing Systems : A SurveyDDC classification: 004 LOC classification: QA75.5-76.95Online resources: Click here to view this ebook.
Contents:
Foreword -- Preface -- Acknowledgements -- Contents -- About the Author -- 1 Introduction -- 1.1 The Big Data Phenomenon -- 1.2 Big Data and Cloud Computing -- 1.3 Big Data Storage Systems -- 1.4 Big Data Processing and Analytics Systems -- 1.5 Book Roadmap -- 2 General-Purpose Big Data Processing Systems -- 2.1 The Big Data Star: The Hadoop Framework -- 2.1.1 The Original Architecture -- 2.1.2 Enhancements of the MapReduce Framework -- 2.1.3 Hadoop's Ecosystem -- 2.2 Spark -- 2.3 Flink -- 2.4 Hyracks/ASTERIX -- 3 Large-Scale Processing Systems of Structured Data -- 3.1 Why SQL-On-Hadoop?
3.2 Hive -- 3.3 Impala -- 3.4 IBM Big SQL -- 3.5 SPARK SQL -- 3.6 HadoopDB -- 3.7 Presto -- 3.8 Tajo -- 3.9 Google Big Query -- 3.10 Phoenix -- 3.11 Polybase -- 4 Large-Scale Graph Processing Systems -- 4.1 The Challenges of Big Graphs -- 4.2 Does Hadoop Work Well for Big Graphs? -- 4.3 Pregel Family of Systems -- 4.3.1 The Original Architecture -- 4.3.2 Giraph: BSP + Hadoop for Graph Processing -- 4.3.3 Pregel Extensions -- 4.4 GraphLab Family of Systems -- 4.4.1 GraphLab -- 4.4.2 PowerGraph -- 4.4.3 GraphChi -- 4.5 Other Systems -- 4.6 Large-Scale RDF Processing Systems
5 Large-Scale Stream Processing Systems -- 5.1 The Big Data Streaming Problem -- 5.2 Hadoop for Big Streams?! -- 5.3 Storm -- 5.4 Infosphere Streams -- 5.5 Other Big Stream Processing Systems -- 5.6 Big Data Pipelining Frameworks -- 5.6.1 Pig Latin -- 5.6.2 Tez -- 5.6.3 Other Pipelining Systems -- 6 Conclusions and Outlook -- References
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Item type Current location Call number URL Status Date due Barcode
Electronic Book UT Tyler Online
Online
QA75.5-76.95 (Browse shelf) http://uttyler.eblib.com/patron/FullRecord.aspx?p=4653483 Available EBL4653483

Foreword -- Preface -- Acknowledgements -- Contents -- About the Author -- 1 Introduction -- 1.1 The Big Data Phenomenon -- 1.2 Big Data and Cloud Computing -- 1.3 Big Data Storage Systems -- 1.4 Big Data Processing and Analytics Systems -- 1.5 Book Roadmap -- 2 General-Purpose Big Data Processing Systems -- 2.1 The Big Data Star: The Hadoop Framework -- 2.1.1 The Original Architecture -- 2.1.2 Enhancements of the MapReduce Framework -- 2.1.3 Hadoop's Ecosystem -- 2.2 Spark -- 2.3 Flink -- 2.4 Hyracks/ASTERIX -- 3 Large-Scale Processing Systems of Structured Data -- 3.1 Why SQL-On-Hadoop?

3.2 Hive -- 3.3 Impala -- 3.4 IBM Big SQL -- 3.5 SPARK SQL -- 3.6 HadoopDB -- 3.7 Presto -- 3.8 Tajo -- 3.9 Google Big Query -- 3.10 Phoenix -- 3.11 Polybase -- 4 Large-Scale Graph Processing Systems -- 4.1 The Challenges of Big Graphs -- 4.2 Does Hadoop Work Well for Big Graphs? -- 4.3 Pregel Family of Systems -- 4.3.1 The Original Architecture -- 4.3.2 Giraph: BSP + Hadoop for Graph Processing -- 4.3.3 Pregel Extensions -- 4.4 GraphLab Family of Systems -- 4.4.1 GraphLab -- 4.4.2 PowerGraph -- 4.4.3 GraphChi -- 4.5 Other Systems -- 4.6 Large-Scale RDF Processing Systems

5 Large-Scale Stream Processing Systems -- 5.1 The Big Data Streaming Problem -- 5.2 Hadoop for Big Streams?! -- 5.3 Storm -- 5.4 Infosphere Streams -- 5.5 Other Big Stream Processing Systems -- 5.6 Big Data Pipelining Frameworks -- 5.6.1 Pig Latin -- 5.6.2 Tez -- 5.6.3 Other Pipelining Systems -- 6 Conclusions and Outlook -- References

Description based upon print version of record.

Author notes provided by Syndetics

<p>Sherif Sakr is an academic, professional specialist and consultant of Big Data systems. He received his PhD degree in Computer and Information Science from Konstanz University, Germany in 2007. He received his BSc and MSc degrees in Computer Science from the Information Systems department at the Faculty of Computers and Information in Cairo University, Egypt, in 2000 and 2003 respectively. In 2013, Sherif has been awarded the Stanford Innovation and Entrepreneurship Certificate.<br> He is currently a professor of computer and information science in the Health Informatics department at King Saud bin Abdulaziz University for Health Sciences. He is also affiliated with the University of New South Wales and DATA61/CSIRO (formerly NICTA). In 2008 and 2009, Sherif held an Adjunct Lecturer position at the Department of Computing of Macquarie University. In 2011, he held a Visiting Researcher position at the eXtreme Computing Group, Microsoft Research Laboratories, Redmond, WA, USA. In 2012, he held a Research MTS position in Alcatel-Lucent Bell Labs.<br> Sherif has published more than 90 refereed research publications in international journals and conferences. So far, he (co)-authored three books and co-edited three other books.</p>

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