discovering, analyzing, visualizing and presenting data EMC Education Services creator text inu 2015 monographic spa eng

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410 páginas : : figuras ; tables. Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. Chapter 1: Introduction to Big Data Analytics. -- Chapter 2: Data Analytics Lifecycle. -- Chapter 3: Review of Basic Data Analytic Methods Using R. -- Chapter 4: Advanced Analytical Theory and Methods: Clustering. -- Chapter 5: Advanced Analytical Theory and Methods: Association Rules. -- Chapter 6: -- Advanced Analytical Theory and Methods: Regression. -- Chapter 7: Advanced Analytical Theory and Methods: Classification. -- Chapter 8: Advanced Analytical Theory and Methods: Time Series Analysis. -- Chapter 9: Advanced Analytical Theory and Methods: Text Analysis. -- Chapter 10: Advanced Analytics—Technology and Tools: MapReduce and Hadoop. -- Chapter 11: Advanced Analytics—Technology and Tools: In-Database Analytics. -- Chapter 12: The Endgame, or Putting It All Together. Contents. Data in computer systems Datos en los sistemas informáticos Data sets Conjuntos de datos Big data Integración semántica Sistemas informáticos 005.7 D232 9781118876138 CO-ViULL 230503 20251030135903.0 spa