How statistics are calculated
We count how many offers each candidate received and for what salary. For example, if a Database Development developer with Git 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 Git used?
Collaborating in Code Catacombs
- Dev teams use Git to juggle their coding wizardry in one magical place, dodging the dread of overwritten spells (code).
Time-Traveling in Tech
- Git's like a tech time machine, letting programmers scoot back to the 'what did I just break' past or peek into the 'future' branches.
Unraveling Code Quilts
- In the patchwork of software, Git lets devs add, adjust, or utterly upend patches of code without yanking the whole quilt apart.
Merging Wizardry
- Git zaps chaos by letting a coven of coders merge their spells without summoning a four-headed bug monster.
Git Alternatives
Mercurial (Hg)
Mercurial is a distributed version control system like Git. It's designed for efficient handling of very large distributed projects.
# Clone a repository
hg clone https://example.com/repo
# Commit changes
hg commit -m "Commit message"
- Intuitive interface and commands for new developers.
- Supports large binary files better than Git.
- Less popular, fewer online resources than Git.
- Built-in web interface.
- No shallow cloning, can lead to large clone sizes.
- Plugins extend functionality.
Subversion (SVN)
Apache Subversion, a centralized version control system, emphasizes simplicity and linear development, unlike Git's distributed approach.
# Checkout a working copy from a repository
svn checkout http://example.com/svn/repo/trunk
# Commit changes to the repository
svn commit -m "Commit message"
- Centralized model may fit certain workflows better.
- File locking functionality for binary assets.
- Can be less intuitive for branching and merging compared to Git.
- Atomic commits assure partial commits do not occur.
- Smaller community, and slower development.
- Access control built-in.
BitKeeper
BitKeeper is a distributed version control system that was historically significant for hosting Linux Kernel development before the creation of Git.
# Get a copy of a repository
bk clone BK://example.com/repo
# Commit changes
bk commit -m "Commit message"
- Robust and reliable due to years of development.
- Commercial product with proprietary features.
- Less widespread adoption means a smaller community.
- Advanced workflows accommodate seasoned developers.
- Open-source version has limitations compared to the commercial one.
- Designed for distributed development without loss of data.
Quick Facts about Git
Git's Lightning-Fast Birth by Linus
Imagine the year 2005: cargo pants were in, and Linus Torvalds, the kingpin behind Linux, was itching for a slick, distributed version control system to empower programmers. Bored of the options on the table, Linus brewed up Git faster than a college student cramming for finals—literally over a weekend! No kidding, Git went from zero to hero in software management in the blink of an eye.
The Evolution: From Clunky to Chunky
Back in the old days, Git was a bit of a command-line beast—newbies would rather stick their hands in a cookie jar full of tarantulas than try to merge conflicts. But, as years passed, it went through so many versions it's like watching a Pokémon evolve. Nowadays, we've got graphical interfaces smoother than a fresh jar of peanut butter, making us almost forget the screams of devs past.
Shaking Hands with Hubert the Octocat
Imagine a world where Git’s decentralized power-wielding was all alone, like a superhero without a sidekick. Enter GitHub in 2008: the bustling metropolis where code lives, parties, and gets forked. Git repos found their social network, complete with a mascot that's more adorable than a basket of kittens—Hubert the Octocat. It's the cherry on top of the developer sundae.
pre
# Git code so simple, your cat could write it:
git init
git add .
git commit -m "Initial commit, meow!"
What is the difference between Junior, Middle, Senior and Expert Git developer?
Seniority Name | Years of Experience | Average Salary (USD/Year) | Quality | Responsibilities & Activities |
---|---|---|---|---|
Junior Git Developer | 0-2 | 30,000-50,000 | Learning phase, increased oversight |
|
Middle Git Developer | 2-5 | 50,000-80,000 | Developing consistency, reduced oversight |
|
Senior Git Developer | 5+ | 80,000-120,000 | High-quality, autonomous |
|
Expert/Team Lead | 8+ | 120,000+ | Exceptional quality, leadership focus |
|
Top 10 Git Related Tech
Command Line Proficiency
Whip out that terminal, because we're going back to basics! Being a maestro of command-line interfaces (CLI) is like having a swiss army knife in your coding tool belt. Whether you're conjuring up Git spells or juggling files, the command line is your trusty steed in the wild west of software development. Memorize those commands; 'git commit' will be your new 'abracadabra'!
Version Control with Git
Git's the big cheese of version control, the guardian of your code's history. Juggling multiple versions of your code without git can quickly become a circus act gone wrong. With Git, you'll be time-traveling through your project's timeline smoother than a DeLorean. Learn it, live it, love it. Simply 'git init' and start your journey!
git init
git add .
git commit -m "Initial commit"
GitHub / GitLab / Bitbucket
Choose your fighter! These platforms are the social networks for your code. Push your repos into the cloud and let them socialize, interact, and get stars (not the Hollywood type, though). It's like online dating for devs where you're looking for the 'perfect pull' instead of the perfect match. Git 'remote add' and push away!
git remote add origin
git push -u origin master
Branching and Merging Strategies
Branching's not just for birds and trees; in Git, it's how you keep chaos at bay. And with great branching comes great merging. You don't want a merge conflict to ruin your day—so plan your branches like you're planning a heist. Get that 'git branch' and 'git merge' down pat or prepare for branch warfare!
git branch feature-x
git checkout feature-x
git merge master
Continuous Integration/Continuous Deployment (CI/CD)
CI/CD is the factory pipeline for your code. Set your tests, builds, and deployments on autopilot, and watch the magic happen. It's like having a team of elves taking care of the menial tasks while you focus on being the coding Santa. TravisCI, Jenkins, or GitLab CI—pick your potion and automate!
Git Hooks
Ever wanted a personal assistant that yells at you when you mess up? Git hooks are your guardians at the gate. These scripts fire off at key points in the Git workflow and make sure you're not tripping over your shoelaces. So don't skip the 'pre-commit' hook, or you might push bugs straight to production—yikes!
# pre-commit hook example
#!/bin/sh
files=$(git diff --cached --name-only --diff-filter=d | grep '\.js$')
if [[ $files ]]; then
./node_modules/.bin/eslint $files
fi
Interactive Rebase and Cherry Picking
If you've ever wanted to rewrite history without a time machine, interactive rebase is your friend. Tidy up your messy commits and present a saga that even your QA team would admire. Cherry picking, on the other hand, is like plucking the best fruits from the tree—all the commit goodness without the baggage. Just 'git rebase -i' and 'git cherry-pick' to keep history squeaky clean!
git rebase -i HEAD~3
git cherry-pick commitHash
Merge Tools like DiffMerge or KDiff3
Merge Tools are the referees in the match of the merges, making sure everyone plays nice. They're like relationship counselors for your code differences, smoothing out the bumps and preventing ugly breakups (also known as merge conflicts). Strap on your conflict-resolving helmet and dive into the battlefield with style!
Git Flow Workflows
Git Flow is the organized party planner for your repositories, giving every feature, release, or hotfix a home. It's like throwing your code into neatly-labelled boxes instead of one massive pile. Embrace the 'feature', 'release', and 'hotfix' branches or risk becoming a coding nomad with nowhere to commit.
git flow init
git flow feature start amazing-new-feature
git flow feature finish amazing-new-feature
Understanding of Semantic Versioning (SemVer)
SemVer is like the measuring tape for your software's growth—it helps you version your releases sensibly and predictably. Breaking changes? Minor tweaks? Patch fixes? SemVer communicates this with three little numbers (and the occasional dash and an alpha). Study this mantra: 'Major.Minor.Patch' and version like a pro!