Information Management
Università degli Studi di
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Why Information Management – 1
• We live today in a society that is generating a huge amount of heterogeneous data
• Data can be used to extract information for decision making
• Data can be organized in different ways • Relational data
• File collections
• NoSQL data
Why Information Management – 2
• Need for solutions operating on data and able to effectively and efficiently
• Elaborate
• Represent • Summarize •…
Aim of the course – 1
• While in use, data are often organized in relational databases because • They are easy to use and deploy
• They are widely available
• They provide quick access to the data
• They provide important guarantees on data management •…
• We will mainly focus on (you already know RDBMS)
• The guarantees provided by relational databases (e.g., ACID properties) • Distributed databases for scalability
Aim of the course – 2
• Collected data used for decision making, based on historical evaluations, are typically stored in data warehouses
• They provide techniques for data extraction
• They enable mining over data
• They provide nice data visualization solutions •…
• We will mainly focus on
• Data warehousing modeling
• ETL for feeding data warehouses
• Data mining techniques for data analysis
• Information extraction for decision making
Aim of the course – 3
• Recent trends rely on NoSQL for data storage and management thanks to its
• Flexibility (wrt relational database)
• Ability to manage large and heterogeneous data collections • Limited constraints on data representation and format
• We will mainly focus on
• NoSQL data models
• Distribution models
• Consistency and ACID properties (CAP theorem) • Distributed computation
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