Basi Di Dati Atzeni Ceri Paraboschi Torlone Pdf File
- This paper describes a cellular network database defined for the biggest European cellular operator Telecom Italia Mobile. The technical solution is based on a common data layer and data access services have been implemented using Oracle Stored. Procedures, Packages, relational views, snapshots in order to meet.
- In the graph database literature the term “join” does not re- fer to an operator combining two graphs, but involves path traversal queries over a single graph. Current languages ex- press binary joins through the combination of path traversal queries with graph creation operations. Such solution.
Cite this paper as: Verroca F., Eynard C., Ghinamo G., Gentile G., Arizio R., D’Andria M. (1999) A Centralised Cellular Database to Support Network Management Process.
P Atzeni, S Ceri, S Paraboschi, R Torlone. Mc Graw-Hill, 1999. Querying multidimensional databases. L Cabibbo, R Torlone. International Workshop on Database Programming Languages, 319-335, 1997. Basi di dati - Modelli e linguaggi di interrogazione 2/ed. P Atzeni, S Ceri, S Paraboschi,.
In: Kambayashi Y., Lee D.L., Lim EP., Mohania M.K., Masunaga Y. (eds) Advances in Database Technologies. Lecture Notes in Computer Science, vol 1552. Springer, Berlin, Heidelberg.
DOI. Publisher Name Springer, Berlin, Heidelberg.
Print ISBN 978-3-540-65690-6. Online ISBN 978-3-540-49121-7. eBook Packages.
Basi Di Dati Atzeni Ceri Paraboschi Torlone Pdf Files
Learning outcomes The learning targets are presented for each module of the course. Module of Theory - The first part of the course, called “Databases Theory”, has the aim to provide the student with the necessary concepts and methods for the design of a database and its applications.
In particular, it will be focused on the methodologies for the conceptual and logical design of a database and for the successive database implementation on database systems. Moreover, the fundamental characteristics of some query languages will be illustrated: in particular SQL (in Lab) and of the relational algebra.
Module of Lab - The aim of this module is to provide the student with the necessary concepts and methods for operating with a database management system and developing web applications exploiting databases. The main technologies considered during the course are based on Python language. Python will be introduced during the course. To attend the course in a productive way, students have to be confident with object-oriented programming. Module of Database technology - The second part of the course has the aim to provide the student with the necessary concepts and methods for the effective usage of relational database systems (RDBMS).
In particular, this module will focus on: transactions, concurrency control techniques, recovery management, indices, techniques for interacting with a RDBMS from a program. Finally some concepts regarding current approaches for modeling semi-structured data will be presented (XML and XML schema). At the end of the course, the students will be able to understand how a database management system works and they will know how to: - design and implement relational databases; - develop web applications that interact with relational databases.
Considering the learning targets of the degree in Computer Science this course helps to provide the student with: - the necessary expertise for designing, development, implementation, management and maintenance of database management systems - the basic expertise in the fields: programming, database and information systems. Syllabus The program is specified for each module as follows. Module of Theory -Introduction to database management systems (DBMS): architectures and functionalities of a DBMS. Physical and logical data independence. Concepts of model, schema and instance of a database. Languages for database systems. Conceptual database design: conceptual data models.
The Entity-Relationship model (ER). Elements of the ER model: entities, attributes, relationships, ISA hierarchies and cardinality constraints. Logical database design: logical data models, the relational data model. Elements of the relational data models: relations and integrity constraints. Mapping between conceptual schemas in ER model and logical schema in the relational model. Interacting with a database system: languages for the definition, querying and update of a database.
The relational algebra. Optimization of algebraic expressions. SQL: select-from-where statement, join in SQL, the GROUP BY and ORDER BY clauses, using subqueries.
Teaching methods: lecturing, practicing with the teacher, didactical material (slides) and further exercises available on the eLearning platform, individual meetings during office hours according to the timetable published on the teacher web page. Module of Lab -Introduction to the relational database management system (RDBMS) PostgreSQL. Introduction to the use of SQL in PostgreSQL. Query Optimization. Introduction to the transaction. Introduction to Python Language. Database access from applications written in Java/Python.
Introduction to Flask (Python) micro framework for developing simple database-based web applications. Lecturing and practicing in computer laboratory, didactical material (slides) and further exercise texts are available on the eLearning platform, the teacher is available for individual meeting in office hours. Module of Database technology -The internal architecture of a DBMS. Transactions properties. The concurrency control: schedules, the two-phase locking.
Access methods (indexes): primary and secondary indexes, B-+tree, hashing based access methods. Query execution and optimization. Techniques for the interaction between a DBMS and an application. Henry cavill superman.
XML, XML schema, UML for XML data design (hints). Teaching methods: lecturing, practicing with the teacher, didactical material (slides) and further exercises available on the eLearning platform, individual meetings during office hours according to the timetable published on the teacher web page.