Best Oracle SQL Training HSR at Bangalore

Akshara Software Technologies is providing the best python training in HSR layout, BTM Layout, and koramangala with most experienced professionals. Our trainer working in SQL and related technologies for more 11 years in MNC’s. We are offering SQL Classes in Bangalore in more practical way. We are offering SQL Classroom training Bangalore, SQL Online Training and SQL Corporate Training Bangalore. We framed our syllabus to match with the real world requirements for both beginner level to advanced level. SQL Classes in HSR conducting in week day ,week end both morning and evening batches based on participant’s requirement. We do offer Fast-Track SQL Training Bangalore and also One-to-One SQL Training in Bangalore.

Our participants will be eligible to clear all type of interviews at end of our sessions. Our SQL classes in HSR focused on assisting in placements as well. Our SQL Training Course Fees is very affordable compared to others.Our Training Includes SQL Real Time Classes Bnaglore , SQL Live Classes , SQL Real Time Scenarios

SQL Course Details:

• Duration : 70-80 Hours (SQL+PL/SQL+Projects)
• Demo and First 3 classes free
• Real Time training with  hands on Project
• Assignment and Case Studies
• Week Day & Week End Batches

Oracle SQL Training in Bangalore –  SQL Syllabus in Detail: 35 Hours

Introduction to Oracle Database:         

• Session and Transaction
• Categorize the different types of SQL statements
• Describe the data set used by the course
• Log on to the database using SQL * PLUS/Toad environment
• Save queries to files

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
• Handling Null Values
• Literals and Concatenation to generate reports
• Suppress Duplicate Rows

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 to produce meaningful reports
• Divide the retrieved data in groups by using the GROUP BY clause
• Exclude groups of data by using the HAVING clause

Constraints

• Different Types of constraints
• Usage of Constraints
• Creating relationship using Constraints.

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 to itself 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
• 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

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

OLAP Functions

• RANK
• DENSE_RANK
• ROLLUP
• CUBE
• RATIO_TO_REPORT
• LAG
• LEAD
• FIRST_VALUE
• LAST_VALUE

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
• 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
• 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

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
• Implement the REGEXP_COUNT function

Partitions

• Types Of partitions
• Usage of partitions

Hierarchical Queries
Other Schema Objects
Create a simple and complex view

• Retrieve data from views
• Create and maintain indexes
• Create private and public synonyms

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