Big Data
- Ghislain Fourny
- Autumn Semester
- Location: rack 9, shelf 1 VVZ-ID: 263-3010-00L Lecture homepage
The key challenge of the information society is to turn data into information, information into knowledge, knowledge into value. This has become increasingly complex. Data comes in larger volumes, diverse shapes, from different sources. Data is more heterogeneous and less structured than forty years ago. Nevertheless, it still needs to be processed fast, with support for complex operations.
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XQuerySearch across a variety of XML data Priscilla Walmsley
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Graph databasesIan Robinson, Jim Webber & Emil Eifrem
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HBaseThe definitive guide Lars George
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The Big Data TextbookTeaching large-scale databases in universities by Ghislain Fourny
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HadoopThe definitive guide Tom White
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Database systemsThe complete book [Hector] Garcia-Molina, [Jeffrey] Ullman, [Jennifer] Widom
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Learning SparkHolden Karau, Andy Konwinski, Patrick Wendell, and Matei Zaharia
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XML in a nutshell[a desktop quick reference] Eliotte Rusty Harold and W. Scott Means
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The Big Data TextbookTeaching large-scale database in universities by Ghislain Fourny
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