Information Management
Universita 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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