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Questions and Answers
What is one potential advantage of a distributed database system mentioned in the text?
What is one potential advantage of a distributed database system mentioned in the text?
What is the purpose of breaking up a single query into several subqueries in a distributed database system?
What is the purpose of breaking up a single query into several subqueries in a distributed database system?
Which factor contributes to reducing delays in a distributed database system?
Which factor contributes to reducing delays in a distributed database system?
What is a key requirement for achieving parallelism in executing multiple queries in a distributed database system?
What is a key requirement for achieving parallelism in executing multiple queries in a distributed database system?
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Which technology emergence impacted the issue of database scaling according to the text?
Which technology emergence impacted the issue of database scaling according to the text?
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How does full replication of data contribute to ensuring mutual consistency in a distributed database system?
How does full replication of data contribute to ensuring mutual consistency in a distributed database system?
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What is the main characteristic of pull-based delivery in data delivery alternatives?
What is the main characteristic of pull-based delivery in data delivery alternatives?
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In a distributed database system, how are processors at different sites interconnected?
In a distributed database system, how are processors at different sites interconnected?
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What does D-DBMS stand for in the context of databases?
What does D-DBMS stand for in the context of databases?
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Which dimension is NOT part of the three orthogonal dimensions in data delivery alternatives (DDA)?
Which dimension is NOT part of the three orthogonal dimensions in data delivery alternatives (DDA)?
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What is the main difference between a distributed database and a collection of files?
What is the main difference between a distributed database and a collection of files?
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Which type of system involves the transfer of data from servers to clients initiated by a client pull?
Which type of system involves the transfer of data from servers to clients initiated by a client pull?
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What is the main reason for distributing processing in distributed computing?
What is the main reason for distributing processing in distributed computing?
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Which of the following is an example of a distributed application?
Which of the following is an example of a distributed application?
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In the context of distributed computing, what does data independence refer to?
In the context of distributed computing, what does data independence refer to?
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Which statement best describes the role of a Distributed Database Management System (DBMS)?
Which statement best describes the role of a Distributed Database Management System (DBMS)?
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Why is distributed processing considered essential for various computer applications today?
Why is distributed processing considered essential for various computer applications today?
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What is a key characteristic of distributed computing systems?
What is a key characteristic of distributed computing systems?
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Study Notes
Database Management Application
- Application programs interact with the DBMS, which provides description, manipulation, and control of the database.
- Multiple application programs can interact with the DBMS, each with its own data semantics.
Motivation for Distributed Database Systems
- Integration of database technology and computer networks leads to distribution, not centralization.
- Distributed DBMS integrates data from multiple processing sites.
Distributed Computing
- Autonomous processing elements, interconnected by a computer network, cooperate to perform tasks.
- Distribution can be in processing logic, processing elements, functions, data, or control.
Advantages of Distributed Computing
- Better fits organizational structure of today's applications.
- Advantages include:
- Reduced contention for CPU and I/O services.
- Reduced remote access delays.
Parallelism Requirements
- Inter-query parallelism: executing multiple queries simultaneously.
- Intra-query parallelism: breaking up a single query into subqueries executed at different sites.
Data Replication
- Full replication: having all required data at each site.
- Issues with updates: maintaining mutual consistency and freshness of copies.
System Expansion
- Database scaling: a key issue.
- Emergence of microprocessor and workstation technologies.
- Demise of Grosh's law.
- Client-server model of computing.
Distributed DBMS Characteristics
- A database, not a collection of files.
- Data logically related as exhibited in users' access patterns.
- Relational data model.
- A full-fledged DBMS, not a remote file system or TP system.
Distributed DBMS Environment
- Multiple sites connected by a communication network.
- Each site may have its own DBMS.
Data Delivery
- Data delivery alternatives (DDA) have three dimensions:
- Delivery modes.
- Delivery frequency.
- Communication methods.
- Pull-only delivery mode: client-initiated data transfer from servers.
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Description
Test your knowledge on database management, distributed computing, and data semantics based on chapters 1 to 6 from the book co-authored by M.T.Özsu and P.Valduriez.