Vinsys' Introduction to SQL Databases (55315) Certification Training allows you to go deeply into SQL fundamentals while gaining practical expertise with real-world database management. Delivered by experts with more than 2 decades of experience, the course will help you discover the purpose of SQL and understand data management in relational databases. The course has been divided into several modules, covering essential aspects of database management.
Throughout this course, you will explore the principles, from the basics of writing SQL queries to advanced database organisation and structure. The hands-on approach ensures that you gain practical experience in filtering and extracting data, handling NULL values, and optimising SQL statements for efficient data management.
This training will ensure that you acquire a good foundation in SQL that is essential in the growth of one’s database management. Through Vinsys, you will learn to experience useful employment prospects to expand them all and acquire all the skills required to run in today’s data-driven environment.
The certification will allow you to explore lucrative career prospects with the world’s leading organisations!
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After the successful completion of the Introduction to SQL Databases (55315) Certification Training, learners will be armed with knowledge in fundamental aspects of databases and SQL. The course aims to equip you with the following objectives:
This course's major characteristics make it ideal for any professional who wants to learn more about databases. The course targets:
The Introduction to SQL Databases (55315) Certification Training is offered to individuals who satisfy the following criteria:
Please contact us for more details.
What is the course "Introduction to SQL Databases (55315) Certification Training"?
This course offers a better understanding of SQL and Database Administration where the participants learn SQL query writing techniques, and relational database design. and data filtration. It is designed to help users get acquainted with the SQL Server databases and their usage.
What topics are covered in the course?
Through this course, participants will understand the basics of database designing with SQL queries, NULL and data filtration, normalisation, and relational databases.
What is the difference between SQL and T-SQL?
SQL is the standard language for managing databases and Data manipulation. T-SQL (Transact-SQL) on the other hand is SQL for Microsoft SQL Server with additional enhancements of error handling and procedural controls.
What types of SQL queries will I learn to write?
You will get acquainted with writing basic SELECT query, data insertion, deletion using the WHERE clause, and understanding table join.
How will the course help me with SQL Server performance optimisation?
The course addresses various issues related to the design of a database that impacts its performance, such as indexing, query optimisation and efficient strategies for accessing a large data base.
Are there any assignments or assessments in this course?
Yes, there will be assignments and exercises that check your knowledge, and enforce the practical usage of SQL commands.
Can I take this course on my mobile device?
Yes, the course platform is mobile accessible, thus you can use any smartphone or tablet to access the materials and perform the assignments.
What is the role of data normalisation in SQL database management?
Data normalisation can be defined as arranging data in a database so that there is no data redundancy. You will find ways to apply normalisation techniques to optimise database design.
Will I learn about database security in this course?
While the major focus is on SQL queries and database management, you will also learn about fundamental security procedures including controlling user rights and protecting sensitive data.
How does this course prepare me for working with large databases?
The course introduces best practices for handling large datasets, including query optimisation techniques and methods for managing database performance at scale.