An Oracle database is a collection of data treated as a unit. The purpose of a database is to store and retrieve related information. A database server is the key to solving the problems of information management. In general, a server reliably manages a large amount of data in a multiuser environment so that many users can concurrently access the same data.
Upon successful completion of the course, the learner will be able to
This course helps you to develop any application which contains the Database.
In this course you will explore the relationship of a Database and how to convert it to ER Diagram of an application.
Oracle is one of the widely used Databases for all web developers who like to build an application using JAVA, PHP, PEARL or Python etc.
With the help of ER modelling you will be creating and maintaining the Database tables by exploring simple queries to complex functions using Oracle.
In this module you will be exposed to ERD Modelling. An ERD also known as an entity relationship model, is a graphical representation of an information system that depicts the relationships among people, objects, places, concepts or events within that system.
In this module you will be exposed to DDL and DML concepts. -DDL (Data Definition Language) which deals with database schemas and descriptions, of how the data should reside in the database. DML (Data Manipulation Language) which deals with data manipulation, and includes most common SQL statements such as INSERT, UPDATE, DELETE, etc. and it is used to store, modify, retrieve, delete and update data in the database.
In this module you will be exposed to Basic SELECT statements. The SELECT statement retrieves data from a database. The data is returned in a table-like structure called a result-set. SELECT is the most frequently used actions on a database.
In this module you will be exposed to aggregate Functions in Oracle. An aggregate function is a function where the values of multiple rows are grouped together to form a single value. These functions are useful while performing mathematical calculations.
In this module you will be exposed to Date, Time and String functions. Date, Time, String functions is to perform string and date related operations on data. These functions are useful while performing string concatenations, sub-strings, date between, datediff functions etc.
In this module you will be exposed to Nested/Subqueries. A Nested/subquery is a statement that has another SQL query embedded in the WHERE or the HAVING clause. A subquery is used to return data that will be used in the main query as a condition to further restrict the data to be retrieved.
In this module you will be exposed to Join queries. A Join statement is used to combine data or rows from two or more tables based on a common field between them. The most common type of join is Inner, Left, Right and Full Joins.
In this module you will be exposed to view. A view is a virtual table based on the result-set of an SQL statement. We can create a view by selecting fields from one or more tables present in the database.
In this module you will be exposed to Procedures & Functions. Procedures and Functions are the subprograms which can be created and saved in the database as database objects. A function MUST return a value. A procedure cannot return a value. Procedures and functions can both return data in OUT and IN OUT parameters.
In this module you will be exposed to triggers. A trigger is a special type of stored procedure. DML triggers execute when a user tries to modify data through DML events like INSERT, UPDATE, or DELETE statements on a table.
In this module you will be exposed to Exceptions. Exceptions are error handling in Stored Procedures. It is a standard SQLSTATE value. Or it can be an SQLWARNING, NOTFOUND or SQLEXCEPTION condition, which is shorthand for the class of SQLSTATE values.
In this module you will be exposed to Set Operators. Set operators combine the results of two component queries into a single result. Queries containing set operators are called compound queries. SET operations to be performed on table data like Union, Union all, Intersect and Minus.
In this module you will be exposed to Synonyms, Indexes, Analytic functions. Analytical functions organize data into partitions, computes functions over these partitions in a specified order, and returns the result. An index is used to speed up the performance of queries. It does this by reducing the number of database data are already fetched. A synonym is an alternative name for objects such as tables, views, sequences, stored procedures, and other database objects.
In this module you will be exposed to Pivoting, Merge. PIVOT performs an aggregation and, therefore, merges possible multiple rows into a single row in the output. The MERGE statement is used to make changes in one table based on values matched from another. It can be used to combine insert, update, and delete operations into one statement.
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