What is Database Architecture?
Database Architectures aid in designing, developing, implementing and maintaining Database Management Systems (DBMS). They facilitate division of a database system into individual components, which can then be better understood and independently modified or replaced.
Types of Database Architecture
Three classifications of Database Architecture are in existence currently, namely one-tier, two-tier, and three-tier.
One-tier architecture is the simplest in which the client, server and database are present on the same machine and the user can directly work on the DBMS. However, it is more suited to programmers or administrators than end-users.
Two-tier architecture involves a system wherein ODBC (Open Database Connectivity) drivers create an interface between the database or presentation layer on the server-side and the application program on the client-side, thus forming two layers. Two-tier architecture enhances DBMS security and offers more direct and faster communication. After securing the client-server connection, the user can work with the data, using DBMS functionalities.
Three-tier architecture, the most popular, sandwiches an application layer between the client-side and the database server. The application layer communicates user requests to the DBMS system and sends responses back from the DBMS to the server. This architecture promotes program-data independence and is conducive to multiple views of the data.
Data Models
Data Models are tools to describe data design or representation. There are several kinds, some of them being the hierarchical model, the network model, and the relational model.
The relational model is different from the others as its data elements have no real connections and are arranged in tabular form, the row describing the entity, and the column the entity attribute. Each table is termed a relation. Different to other models, the tables are inter-related through a common attribute. In short, the relational model is user-friendly and popular with big companies as it eases up data sorting and improves database querying.
Database Architects & Data Architects
Both these professionals may model company data to facilitate analysis for business decision-making. The data may include customer information, sales data, and shipping details. Database Architects develop database software using programming languages to code. Data architects aim to standardise data collection procedures for an enterprise.
Database architects tackle each client’s specific needs while supervising SQL database application design. In addition to writing code for software, they match the hardware to the storage requirements for extensive data sets. Data architects begin by reviewing a company’s existing data architecture, how information flows between departments and how the company uses it. Then they collaborate with executives to determine which data will be collected into the new system and how.
Database Architects & Database Administrators
Often merged into a single role in job advertisements, Database Architects and database administrations are roles with some differences. They do require a similar background in terms of knowledge of operating systems such as Linux and Microsoft, programming languages such as SQL, and various databases like Oracle and SAP. In high demand, both professionals help organisations process, organize, and store the data generated with the increasing use of Internet of Things (IoT) technology, machine learning, and artificial intelligence (AI).
However, while Database Architects are actively engaged with the SDLC (software development life cycle) process and change management groups, database administrators are not necessarily involved with designing data structures at the start of the system design process or with system changes. On the other hand, while Database Architects may not need or have direct access to the production databases they design, administrators have privileged access to them as their job involves managing and monitoring them, keeping them secure, running smoothly, backed up, and accessible.
Potential Pros & Cons of Freelancing vs Full-Time Employment
Freelancing Database Architects have more flexible work schedules and locations. They have full ownership of the business and can select their projects and clients. However, they experience inconsistent work and cash flow, which means more responsibility, effort and risk.
A full-time Database Architect, on the other hand, has company-sponsored health benefits, insurance, and retirement plans. They have job security with a fixed, reliable source of income and guidance from their bosses. Yet, they may experience boredom due to a lack of flexibility, ownership, and variety.
When deciding between freelancing or being a full-time employee, consider the pros and cons to see what works best for you.