How statistics are calculated
We count how many offers each candidate received and for what salary. For example, if a Database Development developer with Liquibase 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 Development tech & tools in 2024
Database Development
What is database development?
Database development is a process resulting in a database being planned, developed, and maintained. It is typically accomplished through several distinct phases (or iterations) that include the analysis of the data requirements, the selection of the most appropriate database technology, a process of implementation, and the optimization of performance throughout many phases.
The company could be teeming with data; it would be created everywhere, from managing clients to developing new products and preparing the accounts. Yet in chaos, without being organized, it is useless. A gigantic pile of building blocks, without a plan, without a system.
An organized sequence goes from chaos to order – data is now usable and valuable to the company, and systems are developed and used in accordance with needs.
What are the different database models?
Differences in database systems mean different architecture, range of functions, and areas of application.
Relational databases
These are the most widely used type of database. They store data in tables, which are linked to one another by relationships. They are good for structured data, data that you can represent in a relational model.
Examples of relational database systems are MySQL and PostgreSQL.
NoSQL databases, document databases
Were designed to store and manage unstructured data. They are also known as document databases for their storage principle is based on individual files or objects. NoSQL databases are perfect to store big amounts of data that cannot be mapped in a relational model, but also for caching purposes.
Examples of NoSQL databases are MongoD, Elasticsearch, and Redis.
Blockchain: decentralized databases
Of course, they’re a new kind of database, ‘blockchain’-based – or rather, a system of data that is centralized and distributed, where transaction history can never be erased (it’s the ultimate administration and recordkeeping tool), and about which I can’t say much.
What is a DBMS (database management system)?
Tenth, with a database-management system (short for DBMS), a user stores, organizes, and uses data. A DBMS performs such tasks as
- Storage and organization of data
- Access control: Only authorized users may view and change data.
- Data security: Protection of data against unauthorized access, loss, and damage.
- Performance: Retrieve and process data quickly and efficiently.
- Maintenance: Data backup, recovery, and indexing.
How is a database created?
All use cases are treated independently from the start. The reason for this is that SQL databases can’t be used everywhere, so if you said: ‘No, I’ll use MySQL for all my applications,’ then you would already be making a mistake from the start when first designing a system.
The process should therefore consist of the following six phases:
- Requirements analysis: What needs to be stored, who needs to access it, with what authorization? What are the anticipated future areas of use in terms of upscaling and utilization – which helps with deciding on a certain system.
- Design: In this stage of database development, you determine the architecture of the database. This includes selecting the database management technology, determining the tables, columns, and relationships between tables.
- Development: Development of the database and transfer of available data. Migration of a system that already has data. This includes database software installation, configuration of the database, implementation of access to data.
- Testing: Testing for errors and performance problems. Where desirable, penetration and load tests are also performed.
- Commissioning: The database is released for users or developers.
- Optimization: Performance, security, and scalability are maintained and adjusted as needed during runtime.
Case studies: Web databases in use
An Instagram post, an Amazon order, an online bank transfer – all produced by different systems, but they all require a common element: data storage. But they all have to operate within different constraints.
For instance, Instagram or Facebook would use their NoSQL databases to (temporarily) store magnitudes of user- and post-data, because it would be much easier to set new functions in document-based databases.
Product information, data about individual customers and their orders, history of purchases – all this is kept in cloud databases by online stores and trading platforms like Amazon. This makes cloud databases usable scalable: during high season, stores may find themselves under much heavier load than usual, but this doesn’t affect the operation of the system.
Continuous random keys are stored in the database and each data and transaction of customers and accounts are linked with these keys, that’s why security in these containers is very important because it protects the customer’s data against those attackers.
The advantages of professional database development
Comprehensive software and customers’ requirements lead to a broad development process. What are the advantages to this?
- Quality control: Professional database developers have the knowledge and experience to develop a quality database product that is a perfect fit.
- Efficiency: Advanced professionals can shorten the time required through their routine and are capable of working at low cost.
Security: It should be the first-class citizen.
Industry-specific: He should know what his clients’ needs and have nodes to do that.
Architecture: He should take care of it because no one cares about it.
Future-proof: Build for tomorrow because, tomorrow, these requirements will be much greater. Expected results: 80 per cent less to maintain, 50 per cent less to build, 100 per cent less risky.
When companies are not discriminative of their use of database system, they end up spending more on development. This simply means that the process of database development cannot be avoided at any cost by professionals such as web development agencies as this is the most crucial step in (further) developing digital products and applications.
Where is Liquibase used?
Time Travel for Databases
- Imagine a world where databases can go back to their exes—previous states, that is. Liquibase is the DeLorean giving devs the power to undo an "oopsie" quicker than you can spell R-O-L-L-B-A-C-K.
Database Whisperer
- With Liquibase in the toolbelt, devs sneak in changes to their database schemas like ninjas in the night, all without dropping the performance plate. It's like coaxing a cat into a bath without a single scratch.
The Sibling Rivalry Solver
- Developer siblings often fight over the database toy. Liquibase swoops in like a peacekeeping parent, syncing their changes in harmony and avoiding the dreaded "It was my turn on the Xbox!" tantrum.
Code Migration Migration
- Liquibase leads the great migration of database changes, guiding them through the treacherous plains of development, staging, and production environments with the grace of a goose in V-formation.
Liquibase Alternatives
Flyway
Database migration tool that uses SQL to manage version control for relational databases. Supports multiple databases.
// Example Flyway migration script
V1__Create_person_table.sql
CREATE TABLE person (
id INT PRIMARY KEY,
name VARCHAR(100) NOT NULL
);
- Simple SQL-based migrations
- Pluggable database support
- Easy-to-read documentation
- Limited rollbacks in the free version
- Schema diffs not built-in
- Can be less flexible for complex deployments
DBmaestro
DBmaestro emphasizes DevOps for database environments, providing automation, governance, and security features.
// No direct code sample available – DBmaestro works via UI and is heavily configuration-based.
- Strong emphasis on security and compliance
- Pipeline automation for continuous delivery
- Enterprise-level governance
- Higher cost barrier for entry
- Complicated for small-scale projects
- Learning curve for DevOps practices integration
MyBatis Migrations
MyBatis Migrations offers a simpler approach to database versioning, primarily for Java applications using the MyBatis framework.
// Example MyBatis migration script
-- // Create a new table
-- Migration SQL that makes the change goes here.
CREATE TABLE test_data (
id INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
data VARCHAR(255)
);
-- //@UNDO
-- SQL to undo the change goes here.
DROP TABLE test_data;
- Integrated with MyBatis ecosystem
- SQL-script based migrations
- Supports up & down scripts
- Less known and smaller community
- Requires Java knowledge
- More manual setup and execution process
Quick Facts about Liquibase
Liquibase: The Time-Traveler of Code
Cast your minds back to 2006, the year when nerdy jokes about dynamically typed conversations at parties still had that new meme smell. In that historical brew of Web 2.0 techno-optimism, Nathan Voxland decided he had enough of database schema update mayhem. Thus, in a stroke of genius fueled by what we can only assume was an excessive consumption of coding snacks, Liquibase was forged – a gift to humanity, or at least to the folks who tinker with databases.
Version-Control But For DB Schemas
Think Git, but with a twist – instead of version-controlling your swoon-worthy code, Liquibase puts its wizard hat on and works its magic on database schemas. Fancy rolling back your database changes as easily as you CTRL+Z your last twelve seconds of dubious coding decisions? Liquibase made that a possibility, and there's been no looking back since (unless you're using Liquibase to do exactly that).
Changelogs: Code Poetry in XML, JSON, YAML, and SQL
Liquibase doesn't discriminate – whether you compose your changelogs in XML, JSON, YAML, or the classic SQL; it embraces them all. Each file is like a love letter to future you, ensuring you'll never forget that one time you thought renaming all your columns on production before your morning coffee was a good idea. Here's a quick peek:
<changeSet id="1" author="asimov">
<addColumn tableName="robot_dreams">
<column name="positronic_brain" type="boolean"/>
</addColumn>
</changeSet>
Put simply, these snippets are a checkpoint diary for your database's life adventure; a 'save game' option to cushion you from those 'oops' moments in database development. With Liquibase, one's codebase transforms into an archaeological site brimming with historical artifacts. Excavate with caution!
What is the difference between Junior, Middle, Senior and Expert Liquibase developer?
Seniority Name | Years of Experience | Responsibilities & Activities | Average Salary (USD/year) |
---|---|---|---|
Junior | 0-2 |
| 50,000-70,000 |
Middle | 2-5 |
| 70,000-95,000 |
Senior | 5-10 |
| 95,000-120,000 |
Expert/Team Lead | 10+ |
| 120,000+ |
Top 10 Liquibase Related Tech
Java
Ah, Java – the granddaddy of stability! When it comes to Liquibase, Java flings its robe on like a wise wizard. Developers armed with Java can conjure up XML, YAML, JSON, and SQL changesets with a flick of the IDE wand. Liquibase, written in Java itself, feels right at home juggling jars and dependencies like a seasoned barista with coffee beans.
// Example of a Liquibase changeset in XML
Spring Framework
The Spring framework whispers sweet nothings into Liquibase's ear, enabling it to dance elegantly within a robust application context. Marrying Spring with Liquibase bestows upon you the power of seamless dependency injection, transaction management, and a plethora of convenient annotations to automate your database migrations as if enchanted.
// Liquibase bean configuration in Spring
@Bean
public SpringLiquibase liquibase() {
SpringLiquibase liquibase = new SpringLiquibase();
liquibase.setDataSource(dataSource());
liquibase.setChangeLog("classpath:db/changelog/db.changelog-master.xml");
return liquibase;
}Maven & Gradle
Maven and Gradle, the revered scroll-keepers of build tools. Integrating Liquibase into these mystical beings through plug-ins allows developers to invoke database updates with the same fervor as casting a spell. Just a few strokes in the command line, and your changesets are deployed with the precision of an archer’s arrow.
org.liquibase
liquibase-maven-plugin
${liquibase.version} SQL Databases
Liquibase swears allegiance to a host of SQL databases – from MySQL wizards to PostgreSQL oracles. This software alchemist effortlessly turns database-specific scripts into a universal elixir, ensuring that your data schemas are as portable as a knight's trusty steed.NoSQL Databases
"Tread carefully," whispers Liquibase to the NoSQL databases. MongoDB, Cassandra, and others may be uncharted territories for many, but Liquibase extends its adventurous tendrils into this realm, negotiating the document and the column-family databases with the skill of a seasoned diplomat.Docker
All aboard the container ship! Docker provides a splendid vessel in which Liquibase can comfortably sail across the CI/CD ocean. By containerizing your Liquibase environment, you ensure consistent migrations across the development, testing, and production environments as smoothly as a bard's tune.
# Docker CLI command to run Liquibase
docker run --rm -v /path/to/changelog:/liquibase/changelog liquibase/liquibase updateGit
Like a meticulous historian, Git keeps track of every twist and turn in your database schema's saga. Paired with Liquibase, your changesets will be versioned with as much care as scribes preserving ancient texts. With Git, the tale of your evolving database is nigh unshakeable.Jenkins/Hudson
Jenkins and Hudson, the tireless automatons, stand ready to integrate Liquibase into your continuous integration pipeline. By laying down pipelines infused with database migration steps, these mechanical maestros orchestrate an end-to-end ballet of build-test-deploy that Merlin himself would envy.
// Jenkins pipeline stage for Liquibase
stage('Database Migration') {
steps {
sh 'mvn liquibase:update'
}
}YAML/JSON/XML
Data formats such as YAML, JSON, and XML are Liquibase’s native tongues. Developers proficient in these formats can speak directly to Liquibase, crafting declarations that are as elegant and structured as a high elf's poem. Liquibase devours these formats with the gusto of a hobbit at second breakfast.Test Frameworks (JUnit/TestNG)
You can't throw a database migration into the wild without a proper escort. Test frameworks like JUnit and TestNG stand guard, ensuring your Liquibase migrations are as robust as a dwarven fortress. With proper tests, your database changes will march to battle clad in impenetrable armor.
// Example JUnit test with Liquibase
@Test
public void testMigration() throws Exception {
Liquibase liquibase = new Liquibase(
"db/changelog/db.changelog-master.xml",
new ClassLoaderResourceAccessor(),
new JdbcConnection(dataSource.getConnection())
);
liquibase.update(new Contexts(), new LabelExpression());
}