SQL: Advanced Querying (SQL-QueryAdv)
More Information:
- Modality: Virtual
- Technology: Microsoft
- Difficulty: Intermediate
- Duration: 1 Day
- Course Info: Download PDF
- Certificate: See Sample
Course Information
About this course:
Let’s have a quick look at SQL. SQL (Structured Query Language) is a standardized programming language used for managing relational databases and performing various operations on the data in them. Initially created in the 1970s, SQL is regularly used by database administrators, as well as by developers writing data integration scripts and data analysts looking to set up and run analytical queries. In this course, students will work with advanced queries to manipulate and index tables. Students will also create transactions so that you can choose to save or cancel data entry process. Students should have basic computer skills, SQL skills, and be familiar with concepts related to database structure and terminology.
The average salary for SQL Database Administrator is $77,428 per year.
Course Objective:
After completing this course, students will be able to:
- use subqueries to generate query output.
- manipulate table data by inserting and updating records in a table and deleting records from a table.
- manipulate the table structure.
- create views, manipulate data through views, modify the view structure, and drop views.
- create indices on table columns and drop inefficient indices.
- mark the beginning of a transaction, create a savepoint within a transaction, rollback a transaction, and commit a transaction.
Audience:
This course is intended for:
- Students with basic computer skills, SQL skills, and be familiar with concepts related to database structure and terminology.
Prerequisites:
- Students should be pro-efficient with the basics of SQL.
Suggested prerequisites courses:
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Outline
Frequently Asked Questions
This training will help you in your Job’s current role by learning and getting hands on experience in the following areas:
- Subqueries and generating desired output to meet business requirements.
- Data Manipulation Language to delete, update and insert records into a table.
- The table structure and altering it to support new business requirements or changes whichever applicable.
- Views importance in Data Security. Creation, manipulation of data through views. Modify a view’s structure and drop views.
- Creation of indices on table columns and dropping inefficient indices.
- Transactions, creating a save points within a transaction, rolling back a transaction, and committing a transaction.
What is a primary key of a database?
o A table column with this constraint is called the key column for the table. This constraint helps the table to make sure that the value is not repeated and also that there are no null entries.
What is a foreign key of a database?
- To define the relationship between two tables (one is called parent and the other one is the child table) connected by columns, a foreign key constraint is used.
- In this constraint the values of the child table must appear in the parent table, which means that for a foreign key, one table should point to a Primary Key in another table.
- A table can have multiple foreign keys and each foreign key can have a different referenced table.
What is database normalization?
- Database normalization is the process of organizing the fields and tables of a relational database to minimize redundancy and dependency.
- Normalization usually involves dividing large tables into smaller (and less redundant) tables and defining
- Normalization is a bottom-up technique for database design.
What is an ER Diagram?
An ER diagram or Entity-Relationship diagram is a special picture used to represent the requirements and assumptions in a system from a top down perspective. It shows the relations between entities (tables) in a database.
What Is De-normalization?
- De-normalization is the process of attempting to optimize the performance of a database by adding redundant data.
- It is sometimes necessary because current DBMS implement the relational model poorly.
- A true relational DBMS would allow for a fully normalized database at the logical level, while providing physical storage of data that is tuned for high performance.
- De-normalization is a technique to move from higher to lower normal forms of database modeling in order to speed up database access."
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