How statistics are calculated
We count how many offers each candidate received and for what salary. For example, if a Database Management and Administration developer with MariaDB with a salary of $4,500 received 10 offers, then we would count him 10 times. If there were no offers, then he would not get into the statistics either.
The graph column is the total number of offers. This is not the number of vacancies, but an indicator of the level of demand. The more offers there are, the more companies try to hire such a specialist. 5k+ includes candidates with salaries >= $5,000 and < $5,500.
Median Salary Expectation – the weighted average of the market offer in the selected specialization, that is, the most frequent job offers for the selected specialization received by candidates. We do not count accepted or rejected offers.
Trending Database Management and Administration tech & tools in 2024
Database Management and Administration
What Is Database Management?
A database management system (DBMS) is a software tool that controls the organization, storage, and retrieval of data from a database. It contains various functions that are interdependent to ensure data integrity for data entry and management with respect to recording, retrieving, and presenting data.
A database management system consists of three main elements:
- A physical database that contains the data.
- A database engine that helps to access the data and modify its contents.
- A relational database scheme (logical design of data in the database).
The ‘physical design of data’ consists of complex tables. While this does provide useful information at a technical level, it doesn’t provide important diagnostic information regarding the main question at hand.
Types of Database Management Systems
Centralized Database Management System
It would all be there. It would all be there in one piece of kit, in one building. If you wanted access to the data, you’d need to come to that system.
Distributed Database Management System
Thanks to this construction, it becomes possible to locate different pieces of data on different nodes so that the absence of each individual node does not prevent us from accessing the data.
In comparison with centralized database systems, a distributed DBMS system makes a number of complete copies of the same data, or at least parts of it, and therefore, in case one of the systems fails, the necessary information is not lost.
Federated Database Management System
A federated database system maps several autonomous databases into one giant database system. Data need not be duplicated, as happens in a distributed DBMS, and hence is very appropriate to handle a distributed integration project.
Federated databases are further divided into two types:
- Loosely Coupled: Each component database constructs its own federated schema.
- Tightly Coupled: The component systems use independent processes to instantiate and publish a unitary federated schema.
Blockchain Database Management System
A blockchain is also called a database. This is because this type of technology stores transactions in data structures, known as blocks. The blockchain system has been widely used to save financial and other types of transactions.
Cloud Database Management System
A cloud database management system is a distributed database providing Cloud-as-a-Service (CaaS) on which the resources, software, information, and other data are shared through a network. The cloud is the main storage that people can access the data across an entire planet.
Importance of Data Management
Data have become one of the core values of companies. It could help a business to make decisions, enhance marketing campaigns, and perfect operational processes. Nevertheless, without the right database management system, companies may face data silos, different data sets, and poor data, which could lead to poor findings.
Businesses always have a reason behind database management. Here are some of the common and significant reasons for database management:
- To run business operations
- To automate processes
- To ensure adequate performance of queries
- To keep up with consumer demands
- To organize and track customers, inventory, and employees
- To store different types of data
Further, another inherent facet is the need for database management to abide by the ever-growing compliance rules of data protection acts, including GDPR, CCPA, and so forth.
Benefits of Database Management
There are a number of benefits that database management systems provide to businesses.
Self-describing Nature
A DBMS is self-descriptive, because it will contain both data and metadata about the database. This self-describing characteristic distinguishes a DBMS completely from any other file-based system.
Supports Multiple Views of Data
A database system can have many views, one for each user of the system. Each view should contain only the data of interest to one user or a group of users.
Multi-user System
Users accessing these concurrently can all contact the same database at a later time. This is possible because there are several techniques to ensure that the data is always correct and data integrity is maintained. This is referred to as concurrency control.
Restriction of Unauthorized Access
It varies accordingly from user to user. Some users might have read-only access while some can have read-write access using this system, which results in internal data control by limited access and prevents unauthorized access by other individuals.
Database Administrator
An average database administrator has to work with many tasks daily. Mainly, there are some fundamental tasks of database administrators:
- Troubleshooting database issues.
- Backing up and restoring databases.
- Performing scheduled maintenance tasks.
- Installing new systems.
- Writing SQL scripts.
Updating Databases
Maintaining the databases is the most essential part of the work of a DBA. A database that is amended and updated regularly is the one that is taken into use. A DBA maintains the database by renewing and issuing the permissions for database access. A DBA also takes care of all the changes in employment, such as changing shifts or roles and responsibilities. Similarly, the software in a database is updated regularly by DBAs. In software updates, the code needs to be written and stored. The database systems and programming languages associated with the database also undergo regular maintenance and need to keep up with the updates.
Organizing and Maintaining Data
A DBA needs to do this filtering and prepping of data – such as financial records, customer data, purchase histories, and so on. An application DBA uses specialized software to be able to put data in good order. How does the data get organized, especially without us knowing what we will want to do with it in the future? That’s one of the ongoing efforts of the DBA. They need to maintain that data, or have it in an order such that the person who is going to mine this data would find it relatively easy to be able to do the mining, to identify some key insights, some trends, some key performance indicators (KPIs), and metrics from the data, so that such data becomes very important in making decisions that are data-driven.
Designing and Developing Databases
Database design and implementation also involve how we organize data. Although DBAs might not be data engineers, system administrators, or application programmers, they can spin up brand new databases from scratch and then make sure those databases behave. DBAs can also help by putting themselves in the shoes of database users. If one can think from a database user’s perspective, this can lead to robust data models that perform the necessary tasks. By enabling supporting applications and infrastructure, one can assemble databases.
Archiving Data
The database administrator is by trade a data archivist. He is a seeker of useless data and is the human who will remove said unnecessary data. If the database administrator deems no one is using it, the data will be archived. Any unnecessary data that is used less frequently or that is kept for legal or industry reasons will be archived once deemed necessary by the database administrator. In this way, the data is kept out of the operational production system. Archiving data of less frequent use increases the active operational capacity, allows for a more efficient operation and a data backup, and ensures the DBMS is kept available for active operation.
Maintaining and Troubleshooting Databases
Maintenance is not the totality of DBA work; DBA maintenance includes database maintenance. DBAs don’t simply maintain data, they also maintain databases. Maintenance of any kind entails making tests and making adjustments while monitoring what a given entity (‘program’, ‘car’) is doing. That is why a DBA who knows several forms of database management systems such as Oracle or SQL (MySQL, SQL Server, DB2, Oracle, etc.) can maintain and troubleshoot them, not to mention an essential database maintenance know-how in SQL, the Structured Query Language. DBA maintenance also includes installation, maintenance, and updates for database management systems.
Database backups need to be done, effective disk use and application being hung up or even transaction rollbacks need to be monitored, and applications cannot be allowed to hang. In addition, the physical implementation of the database needs to be monitored and DBAs need to be aware of what is happening to the database with respect to performance so that they can adjust the database if it is performing poorly.
Improving Data Security
One of the major responsibilities of a knowledgeable DBA is to improve the security of the data through access control. The database administrator provides access to the users who need access to the data and removes a user’s access to any information, also altering a user’s access and privileges.
Other security responsibilities of a database administrator include:
- Providing data security education to database users.
- Creating best practices for data security.
- Collaborating with cybersecurity specialists on data security initiatives.
Database administrators also work to optimize securities by learning the latest in technological advances that prioritize security, as well as many of them obtaining cybersecurity certifications, which place them as more competitive job candidates and as more knowledgeable DBAs.
Creating Database Documentation
What some of a DBA’s duties are includes, among others, helping users, who are not experts in using databases, to use a system securely. Developing database documentation can be helpful to database administrators to prepare for this.
Documentation defines the database and its data contained in it and describes how the database is used and the applications it supports. Documentation defines how users who are authorized can be properly identified, how the system can be properly restored or restarted from a backup, and how authorized users can succeed in accessing the database. Documentation defines how cataloging of the data can be done. The data catalog lists what data is contained in the database, who the database owners are, and how the data can be accessed.
Training Others in Database Management
Employees of a DBA’s team need to take an overview of database management in the company. A database administrator may teach database availability, inputting data, database concepts, queries by SQL in a database, and reports generated from the database. Sometimes DBA documents about the training for members of the team.
Performing Backup and Recovery
Everyone who works with a database knows that database backups are a key requirement. Everyone regularly backs up the database and takes steps to ensure that those backups can be restored. DBAs continue to test and certify those backups regularly to ensure they continue to work as expected.
Planning for Future Growth
For database administrators, mitigation involves planning for the growth of database systems. To do so effectively, the DBA first looks forward in time and examines the usage patterns of the database system and its overall capacity needs. The DBA then, focusing on trends, suggests what type of system changes and upgrades might become necessary.
Planning an IT career? Learn about a database administrator’s typical work activities, skills, and pay in Your Next Move: Database Administrator.
Skills Required for a Career in Database Administration
A great database administrator has a very solid toolkit, enough to embrace all of the roles listed above, and more. A database administrator should have skills in:
- Data analysis
- HTML
- Database management
- Database providers
- Troubleshooting
- Database design
- Database structure
- Programming languages
- Information systems
- Data management
- Performance tuning
- Data architecture
- Database security
- Indexes
- End user management
- Data science
- Data administration
- Data analytics
A DBA should be knowledgeable working with Linux, UNIX, and Windows Operating System and Microsoft Access, Microsoft SQL Server, MySQL, Oracle, and other database and computer systems and operating systems. By and large, most DBAs work well within an organization, have great communication skills, and are organized and logical in their thinking.
Those skills can be acquired through experience in the performance of database-specific tasks, and can be augmented by independent study and the best database certifications. Decreasingly in trend, DBAs achieve a bachelor’s degree in either computer science, information science, or management information systems. Some possess a master’s degree in one of the same.
Where is MariaDB used?
Unleashing Web Wizards: WordPress on MariaDB
- Imagine WordPress zipping on a MariaDB broomstick! Lightning-speed searches for your latest cat meme posts.
Keeping E-commerce Snappy: Online Stores
- E-shops juggling product catalogs like a clown with pies, all thanks to MariaDB’s super-fast data-serving tricks!
Scores on the Doors: Fantasy Sports Platforms
- MariaDB playing ball, updating fantasy leagues faster than a quidditch seeker catches the snitch.
Cutting the Red Tape: Government Databases
- Governments get less slothy by using MariaDB to streamline citizen data faster than you can say “bureaucracy.”
MariaDB Alternatives
PostgreSQL
A powerful, open-source object-relational database system known for its reliability, feature robustness, and performance. Commonly used for complex queries and large datasets.
-- PostgreSQL Sample Code for Creating a Table
CREATE TABLE employees (
employee_id SERIAL PRIMARY KEY,
employee_name VARCHAR(100),
department VARCHAR(50)
);
- ACID-compliant, ensuring transaction reliability.
- Extensive and sophisticated indexing for performance.
- Supports advanced data types and full-text search.
- Can be complex to administer.
- Heavier performance footprint compared to some alternatives.
- Lesser replication features than some competitors.
SQLite
Embedded, lightweight database engine that's ideal for small to medium-sized applications, especially on mobile platforms or applications requiring portability.
-- SQLite Sample Code for Creating a Table
CREATE TABLE books (
id INTEGER PRIMARY KEY AUTOINCREMENT,
title TEXT NOT NULL,
author TEXT NOT NULL
);
- Zero-configuration with no setup or administration needed.
- Serverless architecture and cross-platform portability.
- Small footprint suitable for mobile and embedded applications.
- Not suitable for high-concurrency or write-intensive applications.
- Lacks support for stored procedures and triggers.
- No user management or fine-grained access controls.
MySQL
One of the most popular open-source relational database management systems, it’s widely used for web applications and integrates well with PHP and other languages.
-- MySQL Sample Code for Creating a Table
CREATE TABLE customers (
customer_id INT AUTO_INCREMENT PRIMARY KEY,
name VARCHAR(100),
email VARCHAR(100) UNIQUE
);
- Widespread popularity ensures a strong community and extensive support.
- Robust replication features support scalability and availability.
- Comprehensive management tools available, such as MySQL Workbench.
- Lesser standards-compliance compared to PostgreSQL.
- Constrained by performance issues under heavy loads or complex queries.
- Potential licensing complexities post Oracle acquisition.
Quick Facts about MariaDB
Once Upon a Time in a Database Far, Far Away...
Imagine a world where databases are as common as fish in the sea. Then, out of the blue in 2009, an original MySQL developer got bored and thought, "Hey, why not?" Thus, the MariaDB universe was born. Monty Widenius, a key MySQL figure, decided that forks weren't just for eating spaghetti and went on to create MariaDB, named after his daughter. Who knew that database naming could be such a familial affair?
Quick! To the Time Machine!
Glance at the calendar and you'd spot MariaDB's timeline jetting off faster than Marty McFly in his DeLorean. Innovation is the name of the game, with MariaDB introducing a slew of flashy upgrades with every version, like a magician pulling rabbits out of a hat. They've been known for their storage-engine diversity, tossing in Aria as the newer, shinier MyISAM, and flaunting XtraDB as an InnoDB alternative. Presto chango!
A Futuristic Database Saga
What sets MariaDB apart isn't just its cheeky origin story or its pace of development; it's how it shields its fans from the baddies of the database world. Enter its revolutionary approach to ensuring all its upgrades are backward compatible. It's like having comfort food that never runs out; once your system falls in love with MariaDB, it never has to say goodbye, staying up-to-date without the heartbreak of compatibility issues.
// Here's a taste of the MariaDB charm, writing a query using a system versioned table.
MariaDB [mydatabase]> CREATE TABLE employees (
id INT(11) NOT NULL,
name VARCHAR(250),
position VARCHAR(250),
salary DOUBLE (10, 2),
SYSTEM VERSIONING
);
What is the difference between Junior, Middle, Senior and Expert MariaDB developer?
Seniority Name | Years of Experience | Average Salary (USD/year) | Responsibilities & Activities |
---|---|---|---|
Junior MariaDB Developer | 0-2 | 50,000 - 70,000 |
|
Middle MariaDB Developer | 2-5 | 70,000 - 100,000 |
|
Senior MariaDB Developer | 5+ | 100,000 - 130,000 |
|
Expert/Team Lead MariaDB Developer | 8+ | 130,000+ |
|
Top 10 MariaDB Related Tech
SQL
Like a chef mastering the art of slicing and dicing, a developer needs to know Structured Query Language (SQL) to converse suavely with MariaDB. Flexing those SQL muscles allows you to perform data manipulation with flair, from simple SELECT statements to complex JOINs that would make even a ballroom dancer envious.
SELECT * FROM witty_table WHERE humor = 'top-notch';PHP with PDO
Imagine PHP is like a universal translator for web apps, and when it teams up with PHP Data Objects (PDO), it's like having a secret handshake with MariaDB. This dynamic duo ensures your database conversations are as smooth as a jazz solo.
$stmt = $pdo->prepare("INSERT INTO jokes (setup, punchline) VALUES (:setup, :punchline)");
$stmt->execute([':setup' => $setup, ':punchline' => $punchline]);Python with MySQL Connector
Python slithers into the MariaDB party, bringing with it a swiss-army-knife-like library, MySQL Connector. It's like having a pet python (the non-venomous kind) that not only charms snakes but also manages to charm your data into orderly obedience.
import mysql.connector
cnx = mysql.connector.connect(user='dev', database='party_db')
cursor = cnx.cursor()
cursor.execute("SELECT punchline FROM jokes WHERE humor_level = 'Pythonic'")Database Administration Tools: phpMyAdmin
When it comes to a wing-man for your database adventures, phpMyAdmin is that buddy who knows how to navigate through the trickiest of relationship—er, table situations. This web-based wonder tool lets you tinker with your database without breaking a sweat or a schema.
ORMs: Sequelize, Eloquent
ORMs are the matchmakers of the code world, linking your objects with database tables as smoothly as a dating app swipe. Sequelize and Eloquent will help you find "The One" in record rows without you writing tedious SQL love letters. It's code harmony at its finest.
Apache/Nginx
These two are like the sturdy bouncers of the web server club, making sure requests come and go without a hitch. Whether you're setting up a shop with Apache's .htaccess charms or speeding past with Nginx's performance prowess, you're in solid hands.
SSL Certificates
SSL Certificates are like secret decoder rings for your data, making sure your whispers with MariaDB are not just sweet nothings but secure sweet nothings. No eavesdroppers allowed when SSL is the bodyguard for your data's secret rendezvous.
Git
Ah, Git, the trusty sidekick in the quest for version control - it's like having a time machine for your code! Made a whoopsie? Git got your back, letting you travel back in code time and pretend that little faux pas never happened. Phew!
Containerization: Docker
Docker packages up your code in neat containers, much like a lunchbox for your app's code. Whether it's a sandwich or a sophisticated array of microservices, Docker ensures your code travels well across environments without any tummy aches.
Continuous Integration/Continuous Deployment (CI/CD)
Deploying updates is a breeze with CI/CD; it's like having a magical assembly line where your freshly-baked code gets tested, packaged, and sent out for the world to feast upon, automatically! Bon appétit, users!