Discussion Post 1What are the main reasons for the potential advantages of distributed databases?The key reason for the distributed databases' potential benefits is that they can be a beneficial cycle for the manager, but one that a capable formative manager understands and strives to achieve. Customers and partners are drawn to companies whose products and services are in high demand and are seen as cutting-edge or the best value in the industry. Managers create an association between workers, the company, customers, and partners by generating individuals and the company. This allows the company to receive critical information and make quick hierarchical item and administration adjustments as they become necessary. Directors have a number of responsibilities, the most important of which is to support the business and its representatives in these changing times of increasing challenges. The purpose of this study is to determine the traits of managers who provide development for representatives who aspire to advance in the organization (Fox et al., 2013). An organization can differentiate the talents necessary for their chiefs to foster individuals and the organization they lead by distinguishing the feasible formative authority features and practices. When these skills are identified, authority training can be used to help an organization develop a compelling formative initiative style. Initiative has uniqueness to it when it comes to its proclivity. It doesn't matter how much a greater request, concept, or condition is worth. On a fundamental level, initiative distinguishes itself from human instinct by being perpetual, ethical, and resolute, while arousing expectancy, imagination, and strengthening to ignored human potential. Look for initiative characteristics and activities that motivate adherents and associations to improve. A successful formative manager possesses the qualities and engages in actions that are primarily focused on the development and advancement of the individuals and organizations that they lead (Zhao & Sandahl, 2003).ReferencesFox, A., Eichelberger, C., Hughes, J., & Lyon, S. (2013, October). Spatio-temporal indexing in non-relational distributed databases. In 2013 IEEE International Conference on Big Data (pp. 291-299). IEEE.Zhao, Y., & Sandahl, K. (2003, April). Potential Advantages of Semantic Web for Internet Commerce. In ICEIS (4) (pp. 151-160).==================================================================================================================================================================================================================================================================================================Discussion Post 2Advantages of Distributed Databases As per Elmasri & Navathe (2016), a distributed database can be defined as a collection of multiple logically connected, interrelated databases that are distributed over a computer network. A distributed database management system (DDBMS) is a software system that manages this distributed database, thus making the distribution transparent to the user. With distributed databases, we get the advantages of distributed computing. Reliability and availability are two of those advantages – reliability means that a system is guaranteed to be up and operational for a specified amount of time; availability means that a system is continuously available during a specific time interval. Usually, in distributed databases (DDB) availability covers both availability and reliability. We can achieve availability by isolating faults to their site of origin, thus leaving the other database nodes connected to the network unaffected (Elamsri & Navathe, 2016). Scalability is another concept in distributed computing that can be applied to DDB. Scalability brings the idea of distribution to the forefront; with scalability, it is much easier to add nodes and other resources than is possible in centralized systems. Scalability refers to the ability of the system to expand its capacity while maintaining its operation without interruption. Horizontal scaling can increase the number of nodes to the DDBMS, while vertical scaling expands the capacity of individual nodes in the DDB. We see optimization and increased performance through implementing DDBMS. This is because DDBMS fragments the database by keeping the data closer to where it is most needed. Through data localization, we see reduction in utilization of CPU resources and IO services, while simultaneously reducing delays in the networks (Elmasri & Navathe, 2016). ReferencesElmasri, R. & Navathe, S. B. (2016). Distributed Database Concepts. In Fundamentals of Database Systems (pp. 841-882, 7th edition). Pearson Company.==================================================================================================================================================================================================================================================================================================Discussion Post 3What are the main reasons for the potential advantages of distributed databases?The concept of distributed database administration has been presented for a variety of reasons, including organizational decentralization, cost-effective processing, and increased autonomy. Some of these benefits are highlighted below.1. Increased dependability and availability are two of the most frequently touted potential benefits of distributed databases. The probability that a system is running (not down) at a given time point is described as reliability, whereas availability is the probability that the system is constantly available across a time interval. When data and DBMS software are spread over multiple sites, one site may fail while the others continue to function. Only the data and software on the failed site are inaccessible. This enhances both the reliability and the availability of the system. More progress can be made by intelligently replicating data and software across many sites. In a centralized system, a single site failure renders the entire system unavailable to all users. Some data may be unavailable in a distributed database, but users may still be able to access other sections of the database.2. Improved performance: A distributed database management system (DBMS) splits the database by storing data closer to where it is needed most. Data localization minimizes contention for CPU and I/O services while also lowering access times in wide-area networks. Smaller databases exist at each site when a major database is dispersed over numerous sites. As a result of the smaller local databases, local queries and transactions accessing data at a single site perform better. Furthermore, when all transactions are sent to a single centralized database, each site has a reduced number of transactions processing. Furthermore, interquery and intraquery parallelism can be performed by running numerous queries at various locations or splitting a query into multiple subqueries.3. Easier expansion: Adding more data, expanding database capacity, or adding more processors is significantly easier in a distributed setting (Sarokin, 2020). Reference:Sarokin, D. (2020, October 12). Advantages of distributed data processing. Small Business – Chron.com. Retrieved March 30, 2022, from https://smallbusiness.chron.com/advantages-distributed-data-processing-26326.html