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Today nothing is possible without data. Our success and future depends on how better we handle data. Data and Databases are the most important part of all operations. Without databases you will not be able do anything in your future. All career options Application development, BigData analytics, Data Science, Artificial Intelligence, Machine Learning, Deep Learning, Iot, Blockchain, etc. completely depend of the knowledge of data and databases.

This course contains everything that you must learn about Databases like SQL, LiveSQL, Local and Cloud databases. Attend the class, watch videos, download PDF and try the queries yourself. In case of any difficulty contact our business whatsapp 7391966656.

To download detailed notes, queries and code from GitHub... Click Here

Setup MySQL cloud database and use MySQL Shell for the practice of these qqueries. You can also use Oracle Live SQL. This course is free and a paid online certification option is available for SQL with Oracle Cloud database. Contact us for more details.

• 00-Introduction to the course
• 01-Data, Database, Importance and Types
• 02-Various Databases like Oracle, MySQL, Microsoft SQL Server, MongoDB, Cassandra
• 03-Concept of SQL queries
• 04a-Demo: Using online LiveSQL from oracle cloud
• 04b-Demo: Installing mysql database server
• 05-Demo: MySQL command line client, Creating databases & tables
• 06-Concept: Database Constraints
• 07-Demo: Database Constraints
• 08-Demo: alter table
• 09-Demo: Insert, Update and Delete queries
• 10-Demo: Select query with all options
• 11-Concept: Joins of all types
• 12-Demo: Joins of all types
• 13-Concept: Views
• 14-Demo: Views
• 15-Concept: Stored Procedures
• 16-Demo: Stored Procedures
• 17-Concept: Triggers
• 18-Demo: Triggers
• 19-Concept: Index
• 20-Demo: Index
• 21-Concept: Built-in functions
• 22-Demo: Built-in functions
• 23a- Demo: Commit & Rollback
• 23b-Demo: Backup & Restore
• 24-Demo: Try queries with LiveSQL, free online Oracle Database
• 25-Demo: SQL with Microsoft SQL Server
• 26-Demo: Oracle Cloud Database (Official/Corporate)

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