SQL databases are everywhere.
Almost every business on the planet uses a database to store its data. And the majority of such databases were created utilizing SQL-based technology.
Oracle, MySQL, Microsoft SQL Server, and PostgreSQL are the four most widely used database management systems in the world, according to Statista. Since all four systems rely on SQL, anyone using them would profit from knowing SQL.
In fact, only two (MongoDB and Redis) of the top 10 most widely used database management systems are not SQL-based. However, because SQL is so widely used, solutions have been developed that make it possible to use SQL on both database technologies.
In conclusion? Your business (or one in the future) has a database. You must be able to query the database if you want to work in the data industry.
A fair likelihood exists that you'll require SQL abilities to do that. Even if your organization is one of the select few that employs a non-SQL-based database management system, your SQL skills may still be helpful.
Instead of leaving, they are transferring to the cloud.
SQL is unquestionably outdated and not sexual in any way. Bootcamps don't advertise in glitzy magazines that they will teach you SQL. However, as was already noted, practically all businesses on the planet employ databases based on SQL.
SQL is being included in the upcoming crop of database systems, so it's far from going away. For instance, due to the rising demand for cloud databases, cloud-based SQL database solutions such as Microsoft's Azure SQL Database, Google's Cloud SQL, and others are increasing everywhere.
Despite being an older technology, relational databases have established themselves. Most businesses rely substantially on their SQL databases, so they aren't interested in fixing a working system. That implies that SQL expertise will remain in demand for a long time.
Employers demand you know SQL.
Regarding the first two justifications, you don't have to believe me. Look at job listings for positions like "data analyst" or "data engineer" and check how many include SQL if you have doubts about the value of SQL knowledge.
The demand for SQL expertise is high for practically all positions with "data" in the title. And more often than any other technological expertise, SQL is required for entry-level occupations like data analysis (including Python, R, machine learning, and so on).
In fact, for many data jobs, knowledge of SQL is the sole technical competency needed or the only technical competency assessed during the interview process, along with some familiarity with spreadsheets.
SQL is probably needed for more specialized roles as well. For instance, SQL is frequently listed as a required ability for data engineering employment. At the time of this writing, SQL has been listed in more than 70% of the open "data engineer" positions on Indeed.
You can always try out a variety of platforms and strategies if you're unsure of one that is best for you. Even paid platforms frequently provide a free trial, a free tier, or at the very least, a sample lesson or two that you may look at to determine if the learning style is right for you. You can never ignore learning SQL if you want to become a data scientist or analyst. So, get started with Learnbay’s
data science course in Bangalore, and become a pro-SQL expert.
Locked
