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
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.