How to balance the learning and practice of MySQL and Oracle when learning big data technology?

How to take into account the learning and practice of MySQL and Oracle when learning big data technology?

Introduction: With the rapid development of big data technology, database management systems are also facing diversification and changes in demand. As two widely used relational database management systems, MySQL and Oracle both play important roles in big data technology. When learning big data technology, taking into account the learning and practice of MySQL and Oracle can broaden the breadth of skills and improve employment competitiveness. This article describes how to learn and practice both database management systems at the same time, and provides corresponding code examples.

1. Understand the basic concepts and characteristics of MySQL and Oracle
Before learning big data technology, you first need to understand the basic concepts and characteristics of MySQL and Oracle. MySQL is an open source relational database management system that is widely used for web application development. MySQL has the characteristics of simplicity, ease of use, high efficiency, reliability and stability. Oracle is a commercial relational database management system that is widely used for enterprise-level data storage and management. Oracle has the characteristics of powerful functions, good scalability, and high security. Understanding the basic concepts and characteristics of MySQL and Oracle is the basis for learning and practicing these two database management systems.

2. Select learning materials and tools
For learning and practicing MySQL and Oracle, you can choose some professional learning materials and tools. For MySQL, you can choose classic works such as "MySQL Authoritative Guide" and "MySQL Must Know" as learning references. At the same time, you can install the development kit (MySQL Community Edition) officially provided by MySQL for learning and practice. For Oracle, you can choose classic works such as "In-depth Understanding of Oracle" and "Oracle 11g Database Management and Application" for study reference. At the same time, you can install the development kit (Oracle Database Standard Edition) officially provided by Oracle for learning and practice.

3. Learn and practice MySQL

1. Database creation and connection
   Use MySQL Workbench and other tools to create a database named "student" and establish a database with Database connection.
   Code example:

   CREATE DATABASE student;
   USE student;

2. Table creation and operation
   In the "student" database, create a table named "score" and insert some data.
   Code example:

   CREATE TABLE score (
    id INT(11) PRIMARY KEY AUTO_INCREMENT,
    name VARCHAR(255),
    subject VARCHAR(255),
    score INT(11)
   );
   
   INSERT INTO score (name, subject, score) VALUES ('张三', '数学', 90);
   INSERT INTO score (name, subject, score) VALUES ('李四', '英语', 80);

3. Query and update data
   Query all the data in the "score" table, and update the information of students whose scores are less than 60 points to failing.
   Code sample:

   SELECT * FROM score;
   
   UPDATE score SET score = 59 WHERE score < 60;

4. Learning and practicing Oracle

1. Database creation and connection
   Use tools such as Oracle SQL Developer , create a database named "student" and establish a connection to the database.
   Code example:

   CREATE USER student IDENTIFIED BY password;
   GRANT CONNECT, RESOURCE TO student;

2. Table creation and operation
   In the "student" database, create a table named "score" and insert some data.
   Code example:

   CREATE TABLE score (
    id NUMBER PRIMARY KEY,
    name VARCHAR2(255),
    subject VARCHAR2(255),
    score NUMBER
   );
   
   INSERT INTO score (id, name, subject, score) VALUES (1, '张三', '数学', 90);
   INSERT INTO score (id, name, subject, score) VALUES (2, '李四', '英语', 80);

3. Query and update data
   Query all the data in the "score" table, and update the information of students whose scores are less than 60 points to failing.
   Code sample:

   SELECT * FROM score;
   
   UPDATE score SET score = 59 WHERE score < 60;

5. Learning MySQL and Oracle applications in big data technology
In addition to learning and practicing the basic database operations of MySQL and Oracle, you can also learn Applications that combine MySQL and Oracle with big data technology. For example, learn to use Apache Hadoop for large-scale data processing, and use Sqoop to import data from MySQL or Oracle into Hadoop for analysis and processing.

6. Summary
When learning big data technology, taking into account the learning and practice of MySQL and Oracle can improve the breadth of skills and employment competitiveness. This article introduces the basic steps for learning and practicing MySQL and Oracle, and provides corresponding code examples. At the same time, it is recommended to combine the application of MySQL and Oracle when learning big data technology to broaden the knowledge and practical experience. I hope readers can better learn and practice MySQL and Oracle and master big data technology through the guidance of this article.

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