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DISIT lab (http://www.disit.org ) is an expert on data management with a long track record in the field producing, new knowledge, inovation and tools presently used in several context and infrastructure as: Florence Smart City, ECLAP.eu, Apretoscana.

Problem Scope (Introduction to) Hadoop Hadoop Architecture HDFS MapReduce How Hadoop Works Example 1: Inverted Index Creation Example 2: A Simple Word Count Example 3: A Real Implementation Case Hadoop Pros & Cons HBase Data Model Client API

twitter vigilance, consumo suolo

Risk and Decision Science Focus Area Lead, USACE, ilinkov@yahoo.com Adjunct Professor, Carnegie Mellon University Professor of Practice, University of Connecticut Visiting Professor, Ca Foscari University of Venice, Italy

Km4City: Smart City Tools, 2015, two page flyer

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 & configuration SiiMobility Project ETL processes implementation (within the SiiMobility Project)

What is Big Data 5V of Big Data CAP Principle Big Data Application Fields Big Data Problems, Criticality and Risk NoSQL Big Data Analysis Pipeline Big Data Solutions

The presentation will expose experience and results regarding the integrated solutions around Km4City model, tools and roadmap.

The presentation will expose experience and results regarding the integrated solutions around Km4City model, tools and roadmap.

Twitter Vigilance, TV is a multi-user tool for Twitter analysis, developed by the DISIT Lab of the University of Florence. According to our view, a Twitter Channel consists of a set of simple and complex queries performed on Twitter platform.