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Explain three disadvantages of centralized database and distributed database?
what are the disadvantages of centralized database system
Give the Advantages and disadvantages of a centralized registry?
give the advantages and dis advantages of a centralized registry?
Advantages and disadvantages of Network Tapologies?
centralized control
What are the disadvantages will be possibly gain from centralized printing system?
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Difference between data warehouse and datamart?
A data warehouse has multiple functional areas whereby a centralized organizational unit is responsible for implementing it. On the contrary, data marts focus on particular functional areas hence are simple forms of a data warehouse.
What is a distribution center?
A centralized warehouse between major metropolitan cities that can receive goods by rail and then distribute them to area stores by truck.
Advantages and disadvantages of centralized database system?
Centralized databases have the advantage of being fast, and easy to manage while information is easy to manage. However, it has its disadvantages as well. All the information must be stored on a server and if that server happens to fail, no one can access the database. Having outside servers can remove this issue.
What is a Walmart distribution center?
A centralized warehouse between major metropolitan cities that can receive goods by rail and then distribute them to area stores by truck.
What is a disadvantage of a centralized DHCP infrastructure?
Some of the disadvantages of the centralized network is that it is complex to computation. The other disadvantage is that a single point failure may affect the entire network.
What is distributed data warehouse?
A distributed data warehouse is a type of data warehouse architecture where data is distributed across multiple servers or nodes in a network. This allows for improved scalability, performance, and fault tolerance compared to a centralized data warehouse. Distributed data warehouses can handle large volumes of data more efficiently by spreading the workload across multiple nodes.
What are the disadvantages of centralized data processing?
Some disadvantages of centralized data processing include the risk of a single point of failure, as the entire system can be compromised if the centralized data processing center experiences a technical issue or outage. Additionally, centralized data processing may lead to slower response times, as data has to be transmitted back and forth between the center and the various endpoints. There is also concern about data security and privacy, as centralizing data in one location can increase the risk of unauthorized access and breaches.
What are the advantages and disadvantages of information processing?
Centralized processing makes it easier to maintain security and standards in addition to making duplication less likely. The biggest disadvantage of centralized processing is that if the system goes down, then all systems may be inaccessible.
