SEE: Meet the hackers who earn millions for saving the web, one bug at a time (cover story PDF) (TechRepublic)
I’m much more comfortable managing systems and network infrastructure and feel right at home in a network closet checking/running cabling, managing switches, routers, and firewalls than hammering text that may or may not do what my mind is telling me it should do. Why are you sharing this with us, you might be thinking? Well, it’s simple–I don’t much care for database administration (DBA) either. Like programming, I see the benefit and need for qualified, talented personnel, but much like writing code, that also is not my cup of tea.
SEE: Top 5 programming languages data admins should know (free PDF) (TechRepublic)
For admins who are wizards with databases (DB) or those who wish to develop their IT knowledge base and possibly meld their programming and systems/data management skills, specializing in DBA is a great (and potentially lucrative) way to proceed forward in your IT career. The programming languages below represent the top five that IT pros should be learning to put themselves in the best position for a DBA job–whether you’re just starting out or wanting to change gears, the languages below will help make it happen.
SEE: Top 5 programming languages web developers should know (free PDF) (TechRepublic)
Arguably the most popular, general-purpose language, Python has its hooks into everything. From systems management to web tools to database management and integration. When paired with established frameworks that plug in functionality, Python can be leveraged to perform data analysis, display, and storage—all from one development platform, shaving down development time and adding increased support from one of the largest support communities.
SEE: Python is eating the world: How one developer’s side project became the hottest programming language on the planet (TechRepublic cover story PDF)
Structured Query Language (SQL) is the de facto standard programming language used by many of the most popular database servers worldwide. While SQL does have its criticisms regarding design among others, the language is known to be robust and scalable, mixing expressions, queries, and statements to produce a wealth of methods to access and extract data sets small and large. One pitfall to be aware of is though many different vendors have adopted SQL-based software, not all SQL applications are compatible. There is a known lack of portability between implementations from one SQL developer to the next, which may cause growing pains for users new to DBA.
SEE: Top 5 programming languages mobile app developers should learn (TechRepublic)
The C suite of programming languages provides flexibility and efficiency when developing apps that run natively on system hardware. And while it can be leveraged to provide cross-platform support, it can also be used to develop applications that interface with relational databases to maximize resources of both the servers hosting the data and systems (or apps) accessing the hosted data. The high-performance nature of native apps is the payoff for the intricate nature of apps developed in C, C++, and C#.
SEE: Top 5 programming languages security admins should learn (TechRepublic)
R is a language whose strengths are based in statistical computing and used widely in data mining, statistical software, and data analysis. Given the nature of the data sets used in the above-mentioned types of databases, they tend to be fairly large and complex, making R the perfect language to handle the performance and computational requirements of managing such intricate data sets involving mathematical equations for analysis, display, and storing of data.
SEE: Top 5 programming languages systems admins should learn (TechRepublic)
While largely co-opted by web developers for complex, interactive websites, PHP also has strong ties to databases through its use of server-side scripting to power websites that utilize database connectivity for storing, writing, and retrieving records quickly and efficiently. The WordPress platform was built on PHP, and it has tight integration with databases to streamline web development, build websites based on a templating system, and aid HTML-based sites in loading faster across all supported platforms and apps.