Database Engineer/DBA – (PostgreSQL, IBM-DB2, MariaDB,NoSQL)

数据库工程师根据公司需求，数据存储需求以及访问数据库的用户数量来设计新数据库。监视数据库和程序。数据库工程师不断监视数据库和相关系统，以确保功能强大。

数据库管理员确保数据可用，受到保护，以防丢失和损坏，并且可以根据需要轻松访问。他们还监督数据库的创建，维护和安全性。管理，备份并确保数据的可用性。

PostgreSQL通常被称为Postgres，它也是开源数据库。PostgreSQL是一个功能强大的开源对象关系数据库系统。

IBM Db2是由IBM开发和销售的一系列相关数据管理产品，包括关系数据库服务器。

MariaDB以其开源创新和企业级可靠性以及现代的关系数据库而著称。

SQL结构化查询语言是一种国际公认的语言，用于通信和操纵各种数据库系统。

数据无处不在，并且增长迅速。我们每天与大多数软件应用程序进行交互以处理存储的数据。从我们与银行的互动到Facebook和Instagram等社交媒体应用程序。

由于数据的相关性和依赖性，SQL领域的专业人员总是迫切需要帮助与各种数据库进行交互，以帮助商业智能和其他依赖数据的部门。

由于数据的增长，NoSQL（非SQL或非SQL）数据库越来越受欢迎，因为它们可以大规模存储非关系数据，并且可以解决常规数据库无法处理的问题。它们广泛用于大数据操作中。它们的主要优点是有效处理大型数据集的能力以及现代应用程序的可伸缩性和灵活性问题。

MP4 | Video: h264, 1280×720 | Audio: AAC, 44100 Hz
Language: English | Size: 5.45 GB | Duration: 18h 16m

What you’ll learn
Installing Database Servers
Creating Databases
Creating Tables
Extracting and joining data from multiple tables
Dropping and Truncating Tables
Performing CRUD Operations
Sorting and Filtering Data
Creating Stored Procedures
Querying database with various operators
Creating Triggers
Creating Views
Implementing Database Security
Backing up and restoring database
Aggregating data with Aggregate Functions
Analyzing data with Analytic Functions
Creating NoSQL Databases
Interacting with NoSQL Databases

Requirements
A Computer is required + Internet connection

Description
Database engineers design new databases based on company needs, data storage needs, and the number of users accessing the database. Monitor Databases and Programs. Database engineers continuously monitor databases and related systems to ensure high functionality.

Database administrator ensures that data is available, protected from loss and corruption, and easily accessible as needed. Also they oversee the creation, maintenance and security of your databases. manages, backs up and ensures the availability of the data.

PostgreSQL is commonly known as Postgres and it is also open source database. PostgreSQL is a powerful, open source object-relational database system.

IBM Db2 is a family of related data management products,including relational database servers, developed and marketed by IBM.

MariaDB is great for its open-source innovation and enterprise-grade reliability, as well as its modern relational database.

SQL -Structured Query Language is an internationally recognized language used to communicate and manipulate various database systems.

Data is everywhere and growing at a rapid rate. Most Software application we interact with daily deals with stored data . From our interaction with our banks to social media applications like Facebook and Instagram..

Due to the relevance and dependency on data , professionals that are skilled in SQL are always in high demand to help interact with various databases to help business intelligence and other sectors that relies on data.

NoSQL (Non-SQL or Not-only-SQL) databases are increasing in popularity due to the growth of data as they can store non-relational data on a super large scale, and can solve problems regular databases can’t handle. They are widely used in Big data operations. Their main advantage is the ability to handle large data sets effectively as well as scalability and flexibility issues for modern applications.

Who this course is for:
Beginner Database Engineers
Beginner Database Administrators
Beginner Data Analyst