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If you want to become a oracle database developer then you are in the right place. We are providing Best Oracle Training in Patna Bihar by CSDT Centre.
Demand increases day by day for professionals in the information technology (IT) industry and the same time the competitions also very strong between the professionals. Particularly for oracle database professional the level of demand continues to growing gradually and they need a spark to achieve what they are really looking for. Ever green Scope in Oracle technologies like DBA (Data base Administrator), Oracle SQL PlSQL Developer, Application Developer (D2K), Backend Developer.
CSDT oracle training course syllabus designed with the help of several working professionals. After finishing this training you can able to write complex sql and plsql scripts and which will be real-time scenarios in all companies.
Oracle SQL Training in Patna by CSDT IT SOLUTION
Our SQL Training in Patna aims to teach beginners how to use the SQL in RDBMS. SQL Training provided by real-time corporate experts.
Placement oriented SQL Training in Patna by top industry professionals and standards are certified by Oracle Corporation. From basic level to advanced level training will be provided for students placement in top companies like TCS, CTS, WIPRO, INFOSYS, IBM and BOA.
SQL stands for Structured Query Language which is mainly used to manage data in a RDBMS. SQL is the most used database language. We are having the syllabus which was issued by Oracle Corp.
Our SQL Training Institute is located in Patna and fully filled with real-time faculties and top consultants in IT sector.
Oracle SQL Training Syllabus
Introduction to Oracle Database
List the features of Oracle Database 11g
Discuss the basic design, theoretical, and physical aspects of a relational database
Categorize the different types of SQL statements
Describe the data set used by the course
Log on to the database using SQL Developer environment
Save queries to files and use script files in SQL Developer
Retrieve Data using the SQL SELECT Statement
List the capabilities of SQL SELECT statements
Generate a report of data from the output of a basic SELECT statement
Select All Columns
Select Specific Columns
Use Column Heading Defaults
Use Arithmetic Operators
Understand Operator Precedence
Learn the DESCRIBE command to display the table structure
Learn to Restrict and Sort Data
Write queries that contain a WHERE clause to limit the output retrieved
List the comparison operators and logical operators that are used in a WHERE clause
Describe the rules of precedence for comparison and logical operators
Use character string literals in the WHERE clause
Write queries that contain an ORDER BY clause to sort the output of a SELECT statement
Sort output in descending and ascending order
Usage of Single-Row Functions to Customize Output
Describe the differences between single row and multiple row functions
Manipulate strings with character function in the SELECT and WHERE clauses
Manipulate numbers with the ROUND, TRUNC, and MOD functions
Perform arithmetic with date data
Manipulate dates with the DATE functions
Invoke Conversion Functions and Conditional Expressions
Describe implicit and explicit data type conversion
Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions
Nest multiple functions
Apply the NVL, NULLIF, and COALESCE functions to data
Use conditional IF THEN ELSE logic in a SELECT statement
Aggregate Data Using the Group Functions
Use the aggregation functions in SELECT statements to produce meaningful reports
Divide the data in groups by using the GROUP BY clause
Exclude groups of date by using the HAVING clause
Display Data From Multiple Tables Using Joins
Write SELECT statements to access data from more than one table
View data that generally does not meet a join condition by using outer joins
Join a table by using a self join
Use Sub-queries to Solve Queries
Describe the types of problem that sub-queries can solve
Define sub-queries
List the types of sub-queries
Write single-row and multiple-row sub-queries
The SET Operators
Describe the SET operators
Use a SET operator to combine multiple queries into a single query
Control the order of rows returned
Data Manipulation Statements
Describe each DML statement
Insert rows into a table
Change rows in a table by the UPDATE statement
Delete rows from a table with the DELETE statement
Save and discard changes with the COMMIT and ROLLBACK statements
Explain read consistency
Use of DDL Statements to Create and Manage Tables
Categorize the main database objects
Review the table structure
List the data types available for columns
Create a simple table
Decipher how constraints can be created at table creation
Describe how schema objects work
Other Schema Objects
Create a simple and complex view
Retrieve data from views
Create, maintain, and use sequences
Create and maintain indexes
Create private and public synonyms
Control User Access
Differentiate system privileges from object privileges
Create Users
Grant System Privileges
Create and Grant Privileges to a Role
Change Your Password
Grant Object Privileges
How to pass on privileges?
Revoke Object Privileges
Management of Schema Objects
Add, Modify and Drop a Column
Add, Drop and Defer a Constraint
How to enable and disable a Constraint?
Create and Remove Indexes
Create a Function-Based Index
Perform Flashback Operations
Create an External Table by Using ORACLE_LOADER and by Using ORACLE_DATAPUMP
Query External Tables
Manage Objects with Data Dictionary Views
Explain the data dictionary
Use the Dictionary Views
USER_OBJECTS and ALL_OBJECTS Views
Table and Column Information
Query the dictionary views for constraint information
Query the dictionary views for view, sequence, index and synonym information
Add a comment to a table
Query the dictionary views for comment information
Manipulate Large Data Sets
Use Subqueries to Manipulate Data
Retrieve Data Using a Subquery as Source
Insert Using a Subquery as a Target
Usage of the WITH CHECK OPTION Keyword on DML Statements
List the types of Multitable INSERT Statements
Use Multitable INSERT Statements
Merge rows in a table
Track Changes in Data over a period of time
Data Management in Different Time Zones
Time Zones
CURRENT_DATE, CURRENT_TIMESTAMP, and LOCALTIMESTAMP
Compare Date and Time in a Session s Time Zone
DBTIMEZONE and SESSIONTIMEZONE
Difference between DATE and TIMESTAMP
INTERVAL Data Types
Use EXTRACT, TZ_OFFSET and FROM_TZ
Invoke TO_TIMESTAMP,TO_YMINTERVAL and TO_DSINTERVAL
Retrieve Data Using Sub-queries
Multiple-Column Subqueries
Pairwise and Nonpairwise Comparison
Scalar Subquery Expressions
Solve problems with Correlated Subqueries
Update and Delete Rows Using Correlated Subqueries
The EXISTS and NOT EXISTS operators
Invoke the WITH clause
The Recursive WITH clause
Regular Expression Support
Use the Regular Expressions Functions and Conditions in SQL
Use Meta Characters with Regular Expressions
Perform a Basic Search using the REGEXP_LIKE function
Find patterns using the REGEXP_INSTR function
Extract Substrings using the REGEXP_SUBSTR function
Replace Patterns Using the REGEXP_REPLACE function
Usage of Sub-Expressions with Regular Expression Support
Implement the REGEXP_COUNT function