Data Science : Predicting Future

McKinsey&Company, the world's leading consulting firm, was the first to address the era of data as the "era of data", saying, "Data, which has permeated every industry and business function, today, has become an important factor in production. The use of massive amounts of data heralds a new wave of productivity growth and consumer surpluses.” Data Science has existed as an interdisciplinary field of physics, biology, environmental ecology, and other industries such as the military, finance, and communications, as well, but has attracted attention in recent years because of the booming growth of the Internet and information industry.

Nowadays, the society is more of a high-speed development society, with advanced technology and information circulation, people are more connected and hence communicate more and more closely with each other, and life is more convenient; Data Science is the product of this high-tech era. The great value that data may bring is gradually being recognized, and it provides people with a new way of looking at the world through innovation and development of technology, as well as the comprehensive perception, collection, analysis and sharing of data. Such a way of thinking, which is based more on facts and data to make decisions, can be expected to drive a huge change in some societies which are used to running. The purpose of data analysis is to focus and distil the information hidden in a large amount of seemingly disorganized data, to find out the layered patterns of any data under study. In practical applications, data analysis helps people in analysis, so that they can take appropriate actions.

Data analysis is the process of collecting data in an organized and purposeful manner, analysing it, and processing it into information. The process supports the quality management system. The data analysis process needs to be used appropriately throughout the product life cycle, including all processes from market research to after-sales service and final disposal, to enhance effectiveness. For example, before designers start a new design, they must analyse the collected data through extensive design surveys to determine the design direction, so data analysis has an extremely important position in industrial design.

As a database analyst, I always find some problems with data in MS Excel spreadsheets, it gets painful to work when it comes to larger data sets. Then you will find other more useful softwares like SQLite and MySQL. And now MySQL is one of the most popular Relational Database Management System (RDBMS) software, which implements a client-server model. So, they use a domain-specific language – Structured Query Language (SQL). If you ever come across names having SQL in them, like PostgreSQL and Microsoft SQL server, they too are brands which use Structured Query Language syntax. RDBMS software is often written in other programming languages, but always uses SQL as their primary language to interact with the database. MySQL itself is written in C and C++.

MySQL is indeed not the only (R)DBMS in the market, but one of the most popular ones and only second to Oracle Database when scored using critical parameters like the number of mentions in search results, professional profiles on LinkedIn, and frequency of technical discussions on internet forums. The fact that many major tech giants rely on it further solidifies the well-deserved position. Why so? Here are the reasons:

Flexible and Easy to Use

You can modify the source code to meet your own expectations, and don’t need to pay anything for this level of freedom, including the options for upgrading to the advanced commercial version. The installation process is relatively simple and shouldn’t take longer than 30 minutes.

High Performance

A wide array of cluster servers backs MySQL. Whether you are storing massive amounts of big e-Commerce data or doing heavy business intelligence activities, MySQL can assist you smoothly with optimum speed.

An Industry Standard

Industries have been using MySQL for years, which means that there are abundant resources for skilled developers. MySQL users can expect rapid development of the software and freelance experts willing to work for a smaller wage if they ever need them.

Secure

Your data should be your primary concern when choosing the right RDBMS software. With its Access Privilege System and User Account Management, MySQL sets the security bar high. Host-based verification and password encryption are both available.