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    CSDT Oracle Training institute in Patna

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    Description for "CSDT Oracle Training institute in Patna"

    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

     
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