Practical data science with Hadoop® and Spark: designing and building effective analytics at scale

Practical data science with Hadoop® and Spark designing and building effective analytics at scale

The Complete Guide to Data Science with Hadoop—For Technical Professionals, Businesspeople, and Students Demand is soaring for professionals who can solve real data science problems with Hadoop and Spark. Practical Data Science with Hadoop® and Spark is your complete guide to doing just that. Drawin...

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Detalles Bibliográficos
Otros Autores: Mendelevitch, Ofer, author (author), Stella, Casey, author, Eadline, Douglas, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boston : Pearson Education, Inc., 2017.
Edición:1st edition
Materias:
Apache Hadoop.
Spark (Electronic resource : Apache Software Foundation)
Electronic data processing > Distributed processing.
Big data > Computer programs.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630244006719
Tabla de Contenidos:
  • I. Data science with Hadoop : an overview. Introduction to data science ; Use cases for data science ; Hadoop and data science
  • II. Preparing and visualizing data with Hadoop. Getting data into Hadoop ; Data munging with Hadoop ; Exploring and visualizing data
  • III. Applying data modeling with Hadoop. Machine learning with Hadoop ; Predictive modeling ; Clustering ; Anomaly detection with Hadoop ; Natural language processing ; Data science with Hadoop : the next frontier.

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