Whoever was born before after the 1970s must have heard of SQL. It is so old!
Since the Internet boom of the last century, it has been a crucial part of the computer world.
“But then, why should I learn SQL – such an ancient language – when there are so many recent languages, such as Python and R, that have become more dominant?” is a question that stumps many developers and programmers!
Structured Query Language – SQL – was built to interact with different databases. So, any computer programmer whose job requires them to work on databases needs to be well-versed with SQL.
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Top 7 Reasons to Start Learning SQL Today!
So, regardless of whether or not you’re a Python/R expert, without SQL, it’s unlikely that you’ll land a job in the data science industry.
1. SQL is Predominant in the Data Industry
There is barely any giant tech company that does not use SQL. Netflix and Airbnb are two prominent examples to support this argument.
It might shock you to learn that top tech companies using their own, high-performance database systems – Facebook and Google – use SQL to perform analysis.
What does this tell you?
SQL is ubiquitous.
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Running a quick job search on job portals like LinkedIn can reveal to you that the number of companies looking for SQL skills easily surpasses those looking for Python and R skills. Learn more about the impact of SQL in Data Science industry.
2. You Become a Data Mining Expert
Another answer to why learn SQL is that when you work with various applications and databases, you are sometimes required to perform CRUD operations.
In such cases, SQL comes handy to extract relevant information from a database quickly and more productively.
With SQL, it gets easy to monitor tables, view and update events, oversee database activity, and retrieve desired information from specific data at different time intervals.
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3. SQL is Quite Easy to Learn
Even for people looking to switch their industry from core branches to IT can easily learn SQL.
While commonly known languages, such as C# and Java, require a step-by-step procedure and series of statements to solve a query, SQL asks the user about the kind of data needed and delivers it hassle-free!
SQL doesn’t need the user to define how to extract the required data.
Moreover, since it is quite like our natural language, it is easy to be understood by humans.
It doesn’t show the data transition process, giving you results right away.
Must Read: SQL Interview Questions.
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4. SQL is in Demand
To get a high-paying job in the data industry, you need to understand the list of skills that employers are looking for.
Here’s a graph showing how SQL is important and demanded in data-related jobs.
This is a compiled data of 25,000 data jobs on Indeed.
Clearly, SQL is the most in-demand.
Not only this, for an entry-level data expert, such as Data Analyst, as well, SQL is a necessity.
Here’s a graph to support the argument:
The result is even more bewildering!
So, why learn SQL? To become more qualified for data jobs and become a better data expert than those who focus only on the “elite” stuff.
5. SQL is Versatile
Regardless of whether you want to enter the data science field, it’s always good to be an SQL-fluent pro. Why?
Because SQL is an essential query language for all those who deal with data at all.
Such profiles include data analysts, developers, admin, and even marketing specialists.
How will marketing people use SQL, you ask?
Well, they can get the desired information to extract information that can help them generate more leads by attracting the target customers to their business.
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6. Easy Client-Server Access
Each time someone tries to access an application, all data retrieved is based on the information that is extracted from the database on the server.
And so, SQL is directly involved in creating and managing servers.
With good knowledge of SQL, going through humongous amounts of data gets easy as a snap of two fingers!
Extracting data from a web application is also possible with SQL.
7. Get High Paying Jobs
Looking at the current market scenario, it is clear that jobs with SQL skills are going to rise exponentially in the near future.
In fact, at this time when there are very few data experts and a massive demand for them in the data industry, the salaries for SQL programmers and developers are increasing significantly.
In India, the salary status according to Indeed.com is:
Does this sound like reason enough to start learning SQL? Before going for Interview one must read SQL interview questions & answers which will increase the chances of qualifying the interview.
But where can you learn SQL from?
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Turn Your Ambition into a Success Story – Learn SQL with upGrad
We offer courses designed by data professionals from top companies and universities.
All students get placement support and one-on-one dedicated mentoring from industry experts.
On our platform, you get full support whenever you have a query. You can stay on track with your dedicated personal student success mentor and get your questions answered through a network of academic fellows via live sessions and discussion forums.
To conclude, it is obvious adding an extra skill to your portfolio is always a good idea. A wise man once said, “Knowledge never gets wasted.” And, to take a little credit, that wise man is me.
By becoming proficient in SQL, you can expect jobs in game-changing industries like Finance, Web Development, Accounting, and Digital Marketing, to name a few. So expand your skillset and enter the job market with even more confidence!
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What is meant by CRUD?
CRUD is an acronym used for the four words: Create, Read, Update and Delete. CREATE command is used to create a table and is used to specify the schema and the data types of attributes. INSERT command uses the VALUES keyword to insert tuples/rows. The SELECT command is used for reading/ retrieving the rows from the database. UPDATE command is used to set some values for the attributes based on a specific condition. DELETE command is used to remove rows from the table based on a condition. CRUD operations are important while building websites. For eg: Adding and removing items from a cart on a shopping website.
What are the differences between SQL and NoSQL?
SQL and NoSQL are used for different purposes. SQL is used when one is working on structured data where the data is organized in the form of rows and columns. Structured data is the data in which each row or object has some clearly defined attributes associated with it. It is extremely useful when ACID (Atomicity, Consistency, Isolation, Durability) properties have to be followed. NoSQL is used for unstructured data. Unstructured data includes key-value pairs, graphs, documents, etc. The data is stored in JSON format. SQL databases scale vertically while NoSQL databases scale horizontally. It is easier to query data using SQL as compared to NoSQL.
Does SQL work only on relational databases or does it work on other databases as well?
SQL is mostly used with relational databases. Non relational databases use NoSQL which means Not Only SQL. This basically means non-relational databases use SQL along with some other query languages. The concepts of CRUD operations remain the same. SQL can be used for object-oriented and object-relational databases by modification of SQL syntax. It can also be embedded into programming languages like C++, Java, etc, and can be used for various applications. This way, concepts of SQL, modifications made to the SQL language helps one to use it for other kinds of databases as well.