SQL for Data Science

Data science is a process of extracting useful information, insights or knowledge from the data helping the companies to make better decisions for making a profit in their business. High-end technologies like AI, machine learning, data science and so on are now gaining popularity because it is estimated that every day more than 2.5 quintillion data is being generated.

The need for SQL in Data Science

Tons of data are being processed, analyzed & extracted that indeed can be a very exhausting task. Now, imagine if we’ve sufficient tools that can make the exact same task simple then how convenient it would be. So, in order to avoid these kinds of chaotic tasks SQL is used for storing, analyzing & extracting the huge amount of data in a very smooth way. SQL is capable of doing the number of tasks smoothly such as querying operations, search operations, extraction, editing, modification and so on.

Structured Query Language (SQL)

SQL is an acronym of Structured Query Language referring to a querying language whose main goal is to manage the relational database. Now, what do you understand by the term ‘Relational Database?’

Relational database refers to columns & rows or you can even denote it as a table from where data is being accessed, updated & is edited. Relational database’s standard Application Program Interface (API) is SQL which is used for performing numerous actions on the data such as inserting, deleting, extracting, updating and querying.

In simple terms, the basic use of SQL is to manipulate & analyze the data in order to obtain something useful information from it. MySQL is the main example of the relational database that uses SQL.

Purpose of Using MYSQL

· The use of MySQL is very easy that requires only the basic knowledge of SQL where the interaction with MySQL can be done by using only a few statements of SQL.

· MySQL is very secure with a strong layer of the data security that protects all the confidential data, sensitive data and the major advantage of using MySQL is that it has encrypted passwords.

· It is an open-source that you can directly download from the website in just a matter of time. It is highly scalable with the capability of handling even a huge amount of data.

· MySQL supports the large database up to approx 50 million rows and its default image size is around 4GB.

· It follows the architecture of client-server and it has the compatibility of performing on different operating systems such as Linux, UNIX or Windows.

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