“…Comprehensive guide to help you transform big data into valuable business insights with Splunk 6.2…”

Tabla de Contenidos: “…Part I: The Big Data Opportunity -- The Big Data Value Opportunity -- Introduction to the BIG Project -- Part II: The Big Data Value Chain: Enabling and Value Creating Technologies -- The Big Data Value Chain: Definitions, Concepts, and Theoretical Approaches -- Big Data Acquisition -- Big Data Analysis -- Big Data Curation -- Big Data Storage -- Big Data Usage -- Part III: Usage and Exploitation of Big Data -- Big Data Driven Innovation in Industrial Sectors -- Big Data in the Health Sector -- Big Data in the Public Sector -- Big Data in the Finance and Insurance Sectors -- Big Data in the Energy and Transport Sectors -- Big Data in the Media and Entertainment Sectors -- Part IV: A Roadmap for Big Data Research -- Cross-Sectorial Requirements Analysis for Big Data Research -- New Horizons for a Data-Driven Economy: Roadmaps and Action Plans for Technology, Businesses, Policy, and Society. …”

Tabla de Contenidos: “…Chapter 1: Introduction to GCP -- Chapter 2: Google Colaboratory -- Chapter 3: Big Data and Machine Learning -- Chapter 4: Data Visualization and Business Intelligence -- Chapter 5: Data Processing and Transformation -- Chapter 6: Data Analytics and Storage -- Chapter 7: Advanced Topics…”

“…Big data reporting and development for operational intelligence…”

“…This 10th Anniversary Edition features several new chapters that reflect the progress of machine learning in the last few years and help you build your data science skills and tackle more challenging problems, including making successful machine learning models and advanced data preparation, building better learners, and making use of big data. You'll also find this classic R data science book updated to R 4.0.0 with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. …”

“…Proceedings of the 2013 International Workshop on Mining Unstructured Big Data using Natural Language Processing…”

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Materias: Enlace del recurso

Materias:

Materias: “…Big data…”

Tabla de Contenidos: “…Chapter 1: The Era of Big Data, Hadoop, and Other Big Data Processing Frameworks -- Chapter 2: Installation -- Chapter 3: Introduction to Python and NumPy -- Chapter 4: Spark Architecture and Resilient Distributed Dataset -- Chapter 5: The Power of Pairs: Paired RDD -- Chapter 6: IO in PySpark -- Chapter 7: Optimizing PySpark and PySpark Streaming -- Chapter 8: PySparkSQL -- Chapter 9: PySpark MLlib and Linear Regression…”

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Materias:

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Accés restringit als usuaris d'ESADE

Accés restringit als usuaris d'ESADE