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This article mainly introduces "how to quickly understand the database". In the daily operation, I believe that many people have doubts about how to quickly understand the database. The editor consulted all kinds of materials and sorted out simple and easy-to-use operation methods. I hope it will be helpful for you to answer the doubts of "how to understand the database quickly"! Next, please follow the editor to study!

What is a database?

First of all, before we understand the database, we need to understand how the data is stored.

From the past to the present, human beings have experienced rope recording, oracle bones, bamboo slips, paper records, tape recorders, camera storage and other methods for data storage, which belong to the traditional storage methods.

With the advent of the information age, great changes have taken place in the way of data storage, which is divided into two directions: files and databases.

1. A file is to store the data in Excel, form a read-write file and store it, and then filter, process and extract the file data through python and other tools.

2. The database will store the data in the computer according to its structure, forming a data set with a large amount of data, such as a file cabinet for storing files.

At present, using the database to store data is the most common and popular way, because the database has persistent storage, read and write speed is also very high, and the database can greatly ensure the validity of the data, and there will be no modification errors in Excel and other files.

II. Classification of databases

At present, there are two most commonly used database models, namely, relational database and non-relational database.

1. Relational database

The relational database model boils down the complex data structure to a simple binary relationship. In the relational database, the operation of the data is almost based on one or more relational tables, and the data management is realized through the operation of classification, merging, connection or selection of these related tables. The popular understanding of relational is that data exists as a two-dimensional array, just like the arrangement of books in a library.

Books are data, shelves and floors are relational data structures, and librarians are the processes of the database, which are used for different tasks. Some people put out fires (data repair, backup), some people organize bookshelves and books (data collation, archiving), and the user process refers to the customers who come to the library, who read and move books.

MySQL and Oracle,oracle are common in relational databases.

2. Non-relational database

With the rise of web2.0 websites, relational databases can not meet the storage capacity requirements of massive data, but need to use clusters to solve the problem, so non-relational databases emerge as the times require.

Non-relational database, also known as NoSQL database, aims at specific scenarios, database products with high performance and ease of use, such as Google's BigTable and Amazon's Dynamo.

At this point, the study on "how to quickly understand the database" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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