SQL, or Structured Query Language, is used to access, manage, and manipulate data in relational databases. This language has existed for over forty years, making it a foundational tool for businesses in many industries, from software to data analytics. Programmers use SQL to pull information from existing databases and then use it in their code. Individuals can then use this information to build apps or analyze data, among other things.
SQL can be used in several different relational databases, including MySQL, SQLite, and SQL Server. Many of these relational databases are open-source, enabling you to learn and practice SQL without purchasing a system. Users can quickly upload a dataset and practice querying using an open-source database. Information is typically imported through CSV files.
What is SQL Used For?
At its core, SQL is used to query data in relational databases. Coders can use SQL to access, describe, define, and manipulate data found in these databases. This data is then used for various purposes, from conducting data analysis to programming software. SQL can also create interactive data dashboards and fulfill other data analytic functions. Because SQL can interface with both the front and back end of programs, individuals often use this server-side language.
While SQL is primarily known as a querying language, it can also be helpful for data science professionals who are pursuing machine learning endeavors. Data Scientists can use SQL to deploy machine learning models in a relational database they’re working with. Similarly, SQL can be used alongside machine learning algorithms to clean data and perform other data science tasks, including data mining and predictive analytics.
Who Uses SQL?
SQL is helpful for many programming roles, as this database query language connects with most major database management systems. Large companies like Netflix, Airbnb, Google, and Amazon use SQL to query data. Any role that works with large amounts of data can benefit from knowing SQL.
In particular, Data Analysts may use SQL when working with different databases, allowing them to draw information from multiple sources quickly. Data Analysts may also use SQL to build dashboards and perform various data analysis tasks. Additionally, SQL can be helpful when used in conjunction with machine learning algorithms. SQL is an excellent language for Data Analysts to learn because it enables these professionals to:
- Design databases and tables
- Organize and retrieve the large amounts of data stored in relational databases
- Add or remove records from a database.
Similarly, Software Developers can also benefit from using SQL because of its ability to connect with databases. Developers can query relational databases using SQL and pull information to use in their code. For example, a Software Developer might use SQL when building out a web or mobile application.
Relational Databases for SQL
Numerous relational databases are compatible with SQL. This includes both open-source and proprietary systems. Because some of these databases are more complex than others, it can be helpful to understand their similarities and differences, especially for those who are just starting to learn this language. SQLite, Microsoft SQL Server, PostgreSQL, and MySQL are some of the most popular databases.
MySQL, SQLite, and PostgreSQL are open-source, making them great relational database choices for those new to learning SQL. Individuals can access these databases for free, in addition to finding numerous free resources online. Using an open-source database is a great way to learn the ropes of using SQL without a huge upfront financial investment.
MySQL is one of the most popular open-sourced SQL databases. It’s used by large corporations like Uber and PayPal, making this a great choice for those who want to seek work at these high-profile companies. PostgreSQL also has a strong reputation in the development community, as it’s been continually refined for more than 30 years.
SQLite is unique because it doesn’t have its own server for user data. Instead, it enables individuals to migrate data between systems easily. Mobile app developers most commonly use this database.
Microsoft SQL Server is not open-source, so this relational database may be best for those who have already developed their skills using SQL. This database is beneficial for data scientists regularly querying large datasets. SQL Server is compatible with Azure and Microsoft’s business intelligence products, including Power BI.
Learn SQL
If you’re interested in learning how to use SQL, you may want to consider enrolling in an online or in-person course. NYIM offers several SQL courses, both live online and in-person in New York City. These courses also come with a “learn the skills guarantee,” meaning students who need a refresher can retake the course for free within one year of completion.
NYIM’s SQL Bootcamp is a beginner-friendly course that meets over three days and teaches individuals how to use SQL. Students begin by learning how to work with relational databases, including building basic queries. The course also teaches individuals how to create their own SQL database and import and export data from Microsoft Office applications like Excel.
The topics covered in NYIM’s SQL Bootcamp are also broken down into one-day classes, allowing individuals to target specific topics to learn at the beginner, intermediate, or advanced level. Its SQL Level 1 course covers the basics of Relational Database Management and writing SQL code. NYIM’S SQL Level 2 course builds upon this knowledge by teaching students how to create views to look at a subset of data, write subqueries, and do basic math calculations.
Finally, those with a solid foundation in SQL may consider NYIM’s SQL Level III course. Students learn how to create their own database using SQL, import data from external programs like Excel, and build database infrastructure in this class. This course is a great way to take your SQL skills to the next level.
