Database Partitioning, Replication, and Transparency

Database Partitioning, Replication, and Transparency
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Database Partitioning, Replication, and Transparency
Database
This table stores the employee information such as ID, name, gender, phone number, date of birth, and location (branch) for each employee. With this setup, each branch can maintain its own local database of employees, and the headquarters can access and maintain information about all employees in the enterprise.
Partitioning
Horizontal partitioning is a technique in which a table is split into multiple smaller tables, each containing a portion of the data based on a specific column value (Mahmud et al., 2020). In this case, the column that can be used for partitioning is location. It can be used to partition the Employee table into two separate tables such as Phoenix and Denver employees. The complete table after partitioning can then be constructed using the UNION clause to combine the data from both tables.
In contrast, vertical partitioning is a technique in which a table is split into multiple smaller tables, each containing a subset of columns from the original table (Mahmud et al., 2020). This technique is used to optimize query performance and reduce data redundancy. The Employee table can be partitioned into two separate tables, Employee_Info and Employee_Contact tables. In this regard, the Employee_Info table can be used to store data relating to an employee such as their name, gender, and date of birth, among other details. The Employee_Contact table can then be used to store contact data such as employee phone number and it can be related to the Employee_Info table using a foreign key.
Replication
Data replication is the process of copying data from one database to another, which allows multiple instances of the same data to exist in different locations. It is useful in an environment with multiple branches, as it provides a way to share customer and administrative information between branches and the headquarter. There are several reasons why data replication should be addressed in the current scenario. For instance, according to Pramudita et al. (2020), replication can help to improve the availability of data. In this case, with multiple copies of the data stored in different locations, there is less risk of data loss or downtime in the event of a single database failure. Moreover, data replication can improve the performance of the database. Distributing data across multiple databases can help to reduce the load on any one database, improving query performance. Further, data replication provides a means of recovering data in the event of a disaster at one of the branches or headquarters.
There are several different strategies for data replication. For example, the ma...