Types of DBA | A Complete guide of Database Users and Administrators


Types of DBA’s – Table of Content

There are many kinds of DBAs. But the most common type is general DBA, who carries out all the administrative and data-oriented tasks. Some DBAs are specialized in building systems, while other DBAs concentrate on the maintenance and development of existing systems or on limited areas of the database management and administration. In large organizations, the responsibilities of DBAs are generally divided into different types of jobs.

Types of DBA’s include:

System DBA: DBA’s in this role concentrates on technical issues rather than that of business issues, mainly in the field of system administration. System DBA is also responsible for installing the latest DBMS versions, applying the maintenance fixes, setting system parameters, setting the OS, installation of third-party DBA tools, transaction processors, and networks to run on the DBMS, allowing DBMS to work with storage management softwares and devices, ensuring adequate storage of the DBMS and interfacing with other technology needed for database applications. 

System DBAs do not often participate in the effective implementation of applications and databases. They may help adjust applications when OS settings or complex DBMS settings need to be changed. In fact, the work of the DBA system usually only exists if the organization has no official system administration or a system programming department.

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Database Analyst: We don’t really have a fixed definition of this position. At times, Junior DBAs are designated as Database Analysts. In some cases, a database analyst plays a similar role as the database architect. At times, the Data Administrator is called a Database Analyst or Data Analyst. And sometimes, some companies use the term data analyst rather than a database administrator.

Data Modeler: Generally, a data Modeler is responsible for the subset of the responsibilities of a data architect. Generally, a data modeler is not considered as a DBA; however, it is not a strict rule.

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Database Architect: Some of the organizations create separate positions as database architects to develop and implement new databases. The database architect is responsible for new design as well as development work and does not participate in the administration, maintenance, or adjustment of applications and established databases. Database architect plans new databases to support existing or new applications. The reason for creating separate positions for these duties is that the skills needed to design new databases differ from the skills needed for the maintenance of the existing database implementation. Database Architect is similar to general-purpose DBA to have expertise in data management and modeling.

Task-Oriented DBA: Large organizations may create highly specialized DBAs to focus on a particular DBA task. They are very rare outside large organizations. An example of task-oriented DBA is recovery and backup DBA, whose job is to ensure the recoverability of the databases of the organizations. However, most of the organizations do not have such a specialization. When it is possible, these task-oriented DBA’s will make sure that highly skilled specialists are engaged in important DBA tasks. 

Data Warehouse Administrator: Organizations that establish data warehouses to carry out in-depth data analytics often employ DBAs particularly for monitoring and supporting the data warehouse environment. He must be a competent DBA with complete knowledge of the differences between data warehouses and databases which support OLTP. Database Administration needs experience with business Intelligence and query tools, ETL skills, knowledge on data warehousing technologies like ETL, OLAP, etc., specialized database design of data warehousing, etc.

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Performance Analyst: Performance analysts are one particular kind of task-oriented DBA. They are more common than that of task-oriented DBA’s. They concentrate only on the performance of the database applications. They need to understand all the details and all the SQL coding nuances for performance and have the capacity to develop performance databases. They possess thorough DBMS technical knowledge in order to be able to make proper changes to the DBMS and system settings as required. But, the performance analyst is not expected to be system DBA. He should be able to reach out to application developers to assist them in facilitating appropriate program changes for performance.

The Performance Analyst is typically the most qualified and senior-most member among the DBA staff. It is a role he has grown up with because of the experience and respect he earned in past tuning efforts.

Application DBA: Unlike the system, DBA is the application DBA. The DBA application concentrates on the database design and the continuous support and administration of the databases for a particular application or part of applications. The application DBA is capable of being an expert in writing and debugging complicated SQL and understands the best ways to include database requests in application programs are. The application DBA should be able to manage database change, performance adjustment, and most other DBA roles. The main difference is that the focus of application DBA is on a particular subset of applications instead of the overall implementation of the DBMS and the database environment. 

Some organizations do not hire application DBAs. But, wherever Application DBAs are available, DBAs of general-purpose are always needed to support the entire database environment and the infrastructure. And when there are no application DBAs in the organization, general-purpose DBAs are recruited to support particular applications and also to maintain the database environment of the organization.

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Conclusion:

Obviously, there are other types of DBAs as well. The fact is that the DBA job title doesn’t involve a single job. There are a lot of jobs that come under the category of database administrator.

In this blog, we have seen various types of DBAs. These types of DBA positions exist according to the responsibilities and the tasks that are assigned to them. We hope you found the blog “Types of DBAs” useful. For more blogs, stay tuned to HKR Trainings website.

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Coding vs Programming – Table of Content

Let us start the article by knowing the points that differ between Coding and programming.

What is meant by Coding?

Coding is nothing but translating human language into binary machine language. This process helps humans to connect and talk with computers. The coders can write programs in a specific language that offers instructions to manage the multiple operations performed by the computer system. It allows you to read and write the code within a text editor. The examples include Java, C, Python, etc., languages that are helpful in back-end coding, whereas languages like HTML, CSS, etc., are the front-end coding languages. In this regard, compilers are the special programs that help to translate the source code into machine language that a computer can understand.

The computer only understands the machine language, i.e., binary code. Coders are responsible for translating the source code into the machine language to perform any activity. Further, coders help programmers develop building blocks that programmers use to build the entire application.

What is meant by Programming?

Programming is more than Coding, and it is one of the parts of it. The programming process includes developing an executable software program implemented without any bugs and errors. However, Coding is the most important part of programming, and a programmer has to be skilled in multiple areas with good experience.

In this Coding vs. programming, the common example that helps you understand the programming is as follows. Using the remote control, you can program your AC to run at the minimum temperature you require. You can also make it off after a certain time by setting up a timer, which is a part of programming.

It is the basic understanding of Coding vs. programming. Now, let us know how it works.

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How do Coding and Programming work?

In simple language, Coding is the process of building communication between the computer system and the software program. Computers are electronic devices that rely on binary codes that act as a signal for the communication and functions of the device. The binary code consists of 0’s and 1’s only. The coders are responsible for writing code scripts by applying their Coding knowledge and skills to resolve multiple issues. They write code for websites and search for errors in the code before they submit the same to the client.

On the other hand, programming helps computers to perform certain activities by passing various instructions and information to the system. Multiple programming languages are available in the market, such as C, C++, Python, Java, and many more. These languages help in developing new technology.

Moreover, programming is a difficult task, requiring multiple stages to pass to build a software application. These include designing and developing flowcharts, algorithms, software development, testing, documentation, and maintenance. So, there is a long process behind programming. A programmer has to perform various tasks such as developing software, creating applications, resolving program errors, updating changes, and writing documentation.

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Coding Vs Programming : What are The Differences?

However, the following are the key differences between Coding vs. programming that we can consider.

Skills

To become a successful coder, you must understand the various coding languages in-depth. Programmers also learn multiple programming skills and other additional skills that help develop functional apps. Apart from programming skills, they possess analytical thinking, problem solving, logical thinking, planning, organizing, and attention to detail.

Tools

In computer coding, tools play a key role. Coding uses very simple tools such as a text editing program, word, eclipse, Bootstrap, and a computer device. Further, it uses very less processing power and hardware. But in programming, it requires high-end computers, which help processors to manage the heavy computing load.
However, programmers can use multiple development tools and techniques based on the size of their project and team size. Further, they may also need to run automated tests, execute unit testing, analyze code, and compile large codes. To manage all these, programmers require powerful computer systems.

Support

In Coding vs. programming, support from an active community is the key point. A vast community is available for both Coding and programming as per the needs of coders and programmers. The community includes Stackoverflow, Github, and many others.

Scope

Compared to programmers, coders may have less scope. A coder can develop scripts and write codes without understanding the project’s needs. But a programmer needs to understand the entire project requirements and to know how a program can work. These skills help programmers to test the applications across their development process

Outcome

In Coding vs. programming, the outcome differs between these two terms. In Coding, the outcome will be the functional code, whereas, in programming, the results will be an application, website, or software.

Complexity

In Coding vs. programming, Coding is the basic step of programming, and it is easier to learn. On the other hand, programming manages multiple complex situations and helps to produce accurate machine-level output. Hence, it is an advanced version of Coding. However, learning programming is more difficult than Coding.

Besides the above, Coding follows a trial-and-error approach without previous preparations. But programming follows a detailed approach and requires each piece of information.

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Which is better: Coding or Programming?

It isn’t easy to decide which is better in Coding vs. programming. Coding is the process that helps in working with simple and small projects. But the scope of programming is vast, where it works with large projects and helps manage them. Moreover, programmers earn more than coders because of having an extensive skill set. They get more lucrative packages. So, most aspirants prefer programming, but it is essential to know basic coding skills to become a successful program

Conclusion
We hope this Coding vs. programming article helped you understand these terms frequently used in the software industry. The general public thinks that both are the same, but there is a lot of difference that you have seen above. This information might be useful for you and those looking to find a job in the software field. So, it becomes necessary for you to understand the differences between Coding and programming while entering this field. Stay tuned in this space for more insights on Coding vs. programming.

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