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Oracle Course Syllabus

(2024)
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Enrich your future with database management skills through our Oracle Course Syllabus as it is used for creating and managing large databases. Get a complete understanding of a fully integrated stack of cloud applications and platform services with our comprehensive Oracle Course Curriculum. The students can learn basic database concepts and SQL fundamentals, restricting and sorting of data, single-row functions, joins, multi-row functions, sub-queries, data reporting using interface commands, DML and TCL, DDL and constraints, views, DCL commands, dictionary tables, and analytic functions in our Oracle Course Syllabus.

Course Syllabus

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Basic DATABASE Concept and SQL
  • Basic history of database concept: DBMS, RDBMS, ORDBMS
  • Advantage of ORACLE database and version information
  • Interface tools usage: sqlplus, isqlplus, sqldeveloper, Toad
  • SQL Language overview : DQL, DML, DDL, DCL, TCL
  • What is the usage of ANSI standard.
  • SELECT Command – Column Alias Rules, String data
  • Concatenations with various data
  • Null Value handling with number and characters
  • Arithmetic Operator
  • Concatenation Operator
  • Eliminating Duplicate Rows
Restricting and Sorting Data
  • WHERE Clause – Character Strings and Dates, number
  • General Comparison Conditions = > >= < <= <>
  • Other Comparison BETWEEN , IN , LIKE , NULL
  • Logical Conditions AND OR NOT
  • ORDER BY Clause, Sorting by Column Alias , Column Position, Multiple Columns
Single-Row Functions
  • Character Functions: UPPER, LOWER, INITCAP, LENGTH, SUBSTR, INSTR, LPAD, RPAD, CONCAT, LTRIM, RTRIM, TRIM, REPLACE, TRANSLATE, REVERSE
  • Number Functions: ROUND, TRUNC, MOD, POWER, CEIL , FLOOR, ABS
  • Dates Functions: SYSDATE, MONTHS_BETWEEN, NEXT_DAY, LAST_DAY, ADD_MONTHS, ROUND, TRUNC, Arithmetic on Date
  • Conversion Functions: Implicit Data-Type Conversion & Explicit Data-Type Conversion, TO_CHAR ,TO_NUMBER ,TO_DATE
  • General Functions: NVL , NVL2 , NULLIF, COALESCE
  • CASE Expression, DECODE
  • Nested function with real-time usage
Joins
  • EQUI JOIN / SIMPLE JOIN / NORMAL JOIN
  • ANSI JOIN, LEFT OUTER, RIGHT OUTER, FULL OUTER
  • NATURAL JOIN, NATURAL OUTER JOINS
  • INNER JOIN, JOIN … USING clause, JOIN … ON clause,
  • CROSS JOIN, NON-EQUI JOIN, SELF JOIN
  • ORACLE STANDARD OUTER JOINS.
  • Multi table Joins, Complex Joins How to simplified complex joins.
Multi-row Functions
  • Group Functions Rules, SUM, MIN, MAX, COUNT, AVG
  • Creating Groups of Data: GROUP BY Clause
  • Filtering Group Results: The HAVING Clause
Sub-queries
  • Single-Row Subqueries- Rules, Operators : = > >= < <= <>
  • Null Values in a Subquery
  • Multi-Row Subqueries- Rules, Operators : IN, ANY , ALL
Reporting data using interface commands
  • pagesize, linesize , column heading , column format , colsep
  • tTitle , bTitle , break on column, spool , CSV file generation, Text file generation
DML and TCL
  • DML : INSERT, UPDATE, DELETE, MERGE
  • TCL : COMMIT, ROLLBACK, SAVEPOINT
Data Definition Language – DDL
  • DDL : CREATE, ALTER, RENAME, DROP, TRUNCATE
  • DEFAULT OPTION.
  • Constrain table copy
Constraints
  • NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY, CHECK
  • Column Level Constraint, Table Level Constraint Naming constraints and usage
  • Adding a Constraint, Dropping a Constraint,
  • Disabling Constraints, Enabling Constraints
  • Validating Constraints
Views
  • Simple Views and Complex Views , Create, Drop, Source Code
  • Rules for Performing DML Operations on a View
  • WITH CHECK OPTION , WITH READ ONLY
  • Inline Views
  • Materialized View , Create, Refresh, Drop – Usage
Other Database Objects
  • Sequence- NEXTVAL and CURRVAL
  • Index – When to Create an Index, When Not to Create an Index.
  • Synonyms
DCL COMMANDS
  • Creating Users
  • Granting / Revoking Privileges
  • Creating and Granting Privileges to a Role
Dictionary Tables
  • Tables, Views, Synonyms, Index, Sequence, Constrains, Source and other Dictionary
SET Operators
  • UNION ,
  • UNION ALL ,
  • INTERSECT ,
  • MINUS
Advanced Date-time Functions
  • Group by with ROLLUP,
  • Group by with CUBE,
  • GROUPING SETS

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