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Oracle Training

Oracle PL SQL training in bangalore

Oracle Training in Bangalore

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TIB Academy is the Best Institute of Oracle Training in Bangalore that offers high quality training with affordable training course fees. Oracle® is a multi-platform and evergreen database technology where we can apply our own business logic and syntax to build a DB application. This tool is primarily used for its high performance and key features such as massive storage (high availability), multi-parallelism and scalability.

Oracle has become more popular nowadays, because this DB is utilized to handle the RDBMS issues. So, there is a high demand for Oracle experts in current IT market. With the Oracle Developer course, you can enable yourself with key concepts of database like basics of RDBMS, DB tuning, DB scaling and SQL. Oracle PL/SQL is the powerful query language which includes the features such as tight coupling with the database, code independence and package constructs. so learning this Oracle technology will definitely make you shine in the IT world.

We are the best Oracle PL/SQL institute in Bangalore, where you can obtain the real-time, practical and live-classroom coaching from industrial experts. TIB Academy offers high quality oracle certification Training with placement assistant on affordable training course fees. Our Oracle training course syllabus is designed by highly experienced professionals. They will help you from the basic concepts of RDBMS until the advanced level of Oracle application.

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Oracle Training in Bangalore Syllabus

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Describe the SET operators
  • Use a SET operator to combine multiple queries into a single query
  • Control the order of rows returned
  • 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
  • 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
  • Create a simple and complex view
  • Retrieve data from views
  • Create, maintain, and use sequences
  • Create and maintain indexes
  • Create private and public synonym
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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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