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Panoramica sul tema Big Data
Definizione, evoluzione e concetti chiave
Principali contesti applicativi
Problematiche, tecnologie e metodologie per la gestione e lanalisi dei Big Data
Aspetti ...
Aspetti fondamentali delle tecnologie Big Data
Aspetti di Data Management
Aspetti Architetturali
Aspetti di Accesso e Rappresentazione dei Dati
Aspetti di Ingestion, Mining e ...
Aspetti di Data Management
CouchBase
Aspetti Architetturali
Infrastruttura per i Big Data
Sistemi SMP (Symmetric Multi Processing)
Sistemi MMP (Massive Parallel Processing)
Aspetti Architetturali
Riak
eXist DB
Aspetti di Accesso ai Dati e di Rappresentazione
RDF HDT Library
Neo4j
Aspetti di Ingestion e Mining
Tecnologie di acquisizione dati
Twitter API
Facebook API
Processo di analisi/elaborazione dei Big Data
Hadoop
Caratteristiche chiave
Architettura
HDFS
MapReduce
Installazione e configurazione del cluster
Aspetti teorici e pratici
Esempio applicativo ...
HBase e Hrider
Caratteristiche chiave
Modello dati
Architettura
Installazione
Esercizio
Pentaho Data Integration
Aspetti teorici e pratici
Job e Trasformazioni
Esercizio
documentation ENG, ver.2.1: http://www.disit.org/5606 related to version 1.1 of the ontology
documentation ITA, ver.2.4: http://www.disit.org/6461 of version 1.4 of the ontology
image: ...
Big Data: from Open Data to Triples
ETL process
ETL tool: Pentaho Data Integration (PDI)
Features
Key concepts
Examples
Developing ETL processes with PDI
Tool installation & ...
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