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What is database architecture?

Database architecture is a branch of computer science that deals with the design, organization and management of databases. It includes the development of database models, the definition of storage structures, the specification of access methods, and the implementation of the database. In addition, database architecture also includes planning and managing the network and system resources required to support the database.

What is database design?

Database design is the process of planning, modeling, and implementing a database. It involves the creation of a logical and physical model for the database that includes the data structures, functions, and access rules needed to manage and access the data. It also includes defining the dependencies between the different data components and creating user interfaces that provide the user with easy access to the database.

What are data analysis methods?

Data analysis methods are techniques used to examine and analyze data to identify trends, patterns, and other useful information. Some of the most common data analysis methods are regression analysis, cluster analysis, descriptive statistics, exploratory data analysis, machine learning, hypothesis testing, and causal analysis.

What are cloud technologies?

Cloud technologies are a group of technologies that enable enterprises to access an external, network-based infrastructure to use applications, programs, storage and other resources. They include virtual private networks (VPNs), software-as-a-service (SaaS), infrastructure-as-a-service (IaaS) and platform-as-a-service (PaaS). These technologies enable enterprises to get the resources they need on-demand and flexibly, reducing costs and increasing availability.

What is a Bayes network?

A Bayes network is a special type of probabilistic graph that represents the probability of certain events with respect to other events. It is commonly used in machine learning research and machine learning to model a variety of problems, such as classification, prediction, and structuring of data. It consists of nodes, which represent events, and edges, which represent the relationships between them. A Bayes network can be used to model a set of relationships between events.