Oracle

Master the intricacies of Oracle, from database architecture to SQL and PL/SQL programming, in our comprehensive course.

Oracle

Courses Fees

11-Mar-2024

Mon-Fri
Weekdays Regular

09:00 AM & 11:00 AM Batches
(Class 1Hr - 1:30Hrs) / Per Session

16-Mar-2024

Sat,Sun Weekend Regular

09:00 AM & 11:00 AM Batches
(Class 1Hr - 1:30Hrs) / Per Session

25-Mar-2024

Mon-Fri
Weekdays Regular

(09:00 AM - 02:00 PM)
(Class 4:30Hr - 5:00Hrs) / Per Session

28-Mar-2024

Mon-Fri
Weekdays Regular

(06:00 PM - 08:00 PM)
(Class 2hr - 2:30Hrs) / Per Session

Oracle Sql Training In Chennai

Join with us for the top-notch Oracle SQL Training in Chennai.

Discover the importance of SQL in the Oracle database system. Learn from experienced professionals for a successful career. Get hands-on training with real-world projects.

Premier Oracle SQL Training in Chennai

Provides comprehensive instruction on Structured Query Language (SQL), which serves as the conduit between programs and users accessing data within an Oracle database. Oracle SQL boasts a straightforward, organized, and highly efficient framework for data access, definition, and maintenance. Utilizing Oracle SQL, individuals can effectively query Oracle databases.

Moreover, Oracle SQL Developer serves as an integrated development environment (IDE) facilitating seamless Oracle database development and management across both traditional and contemporary cloud deployments. As a part of this IDE, Oracle SQL Developer enables users to interact with SQL within the Oracle database environment. Enrolling in the Best Oracle SQL Training in Chennai offers an opportunity to delve into the crucial role of SQL in Oracle, as well as gain insights into the latest Oracle releases such as advanced orcle version 19c and 21c.

Opportunities offered by Oracle SQL Training in Chennai

Individuals with a grasp of SQL basics can effectively execute Oracle queries. Oracle simplifies the process of transferring data across various databases. Upon enrolling in the top-rated Oracle SQL Training in Chennai, you'll gain comprehensive knowledge of SQL, query writing, domain understanding, and a detailed understanding of Oracle's database engine and architecture.

Requirements for mastering Oracle SQL Training in Chennai

You don't have to be familiar with any programming languages before you begin Oracle SQL Training in Chennai. However, having some knowledge of relational database management systems (RDBMS) and being comfortable with using Microsoft Excel would give you a head start.

Who should join our Oracle SQL Training Institute in Chennai?

Our Oracle SQL Course in Chennai is ideal for:

  • Individuals aiming to start a career in software development.
  • Experienced professionals seeking to expert in SQL.
  • Students eager to enhance their database management skills.
  • Anyone interested in learning about Oracle databases and SQL queries.
Career Options in the Oracle SQL Field

After finishing your Oracle SQL Training in Chennai, you can explore various job opportunities such as:

  • Software Developer
  • Database Manager
  • Data Analyst
  • SQL isn't just for tech-savvy individuals; it's also accessible to non-technical professionals.
Oracle SQL Course Outline

The syllabus for our Oracle SQL training in Chennai is based on industry standards. It's tailored to ensure students are ready for the workforce and regularly reviewed by experts for updates. The curriculum is flexible and always evolving to meet changing industry demands, with a clear goal in mind.

  • What is database.
  • Understanding Databases
  • DBMS & RDBMS relationships
  • Difference between OLTP & OLAP
  • What is Frontend and Backend.
  • Scope of Backend/ Oracle
  • Oracle Architecture.
  • Tools - Sql developer instalation.
  • SELECT Statement
  • Filtering Data with WHERE Clause
  • Sorting Data with ORDER BY Clause
  • Limiting Rows with ROWNUM and FETCH
  • Sequence of Oracle query execution.
  • Handling NULL Values: Represents missing or unknown data in a database.
  • Snake Case
  • Purpose and Usage of Dual: Special one-row table used primarily for selecting pseudo-columns and evaluating expressions.
  • Accessing Data Dictionary Information: Querying metadata about objects.
  • ALL_TABLES
  • ALL_CONSTRAINTS
  • ALL_INDEX
  • ALL_TAB_COLUMNS
  • ALL_TAB_PRIVS
  • Numeric Datatypes: Used for storing numeric data.
  • Character Datatypes: Used for storing alphanumeric data.
    • CHAR
    • VARCHAR()
    • VARCHAR2()
    • NVARCHAR()
  • Date Datatype: Used for storing date and time data.
  • LOB Datatypes: Used for storing large objects such as text, image, video, etc.
    • CLOB
    • BLOB
  • CREATE Statement: Builds new database objects like tables, indexes, etc.
  • ALTER Statement: Modifies the structure of existing database objects.
  • DROP Statement: Deletes database objects.
  • TO ADD A NEW COLUMN: Modifies a table to include a new column.
  • TO RENAME A COLUMN: Changes the name of a column in a table.
  • TO MODIFY A COLUMN: Alters the datatype or constraints of an existing column.
  • TO DROP A COLUMN: Removes a column from a table.
  • TRUNCATE Statement: Removes all records from a table, preserving the table structure.
  • INSERT Statement: Adds new records into a table.
  • UPDATE Statement: Modifies existing records in a table.
  • DELETE Statement: Removes records from a table.
  • MERGE Statement: Performs insert, update, or delete operations on a target table based on the results of a join with a source table.
  • User Creation - Creating and Managing Database Users: Granting and revoking privileges to users.
  • GRANT Statement: Grants privileges to database users.
  • REVOKE Statement: Revokes previously granted privileges from users or roles.
  • COMMIT Statement.
  • ROLLBACK Statement.
  • SAVEPOINT Statement.
  • Special columns in Oracle that can be used in SQL queries for various purposes.
  • ROWID
  • ROWNUM
  • SYSDATE
  • SYSTIMESTAMP
  • USER
  • UID
  • CURRVAL
  • NEXTVALL
  • LEVEL
  • Functions that operate on a set of rows and return a single result.
  • SUM
  • MAX
  • MIN
  • AVG
  • COUNT
  • Functions used to handle NULL values in SQL expressions.
  • NVL
  • NVL2
  • NULLIF
  • COALESCE
  • Functions used for conditional logic in SQL queries
  • CASE Expression.
  • DECODE Function.
  • Functions used for comparing values in SQL expressions.
  • GREATEST
  • LEAST
  • Functions used for mathematical operations on numeric data.
  • ROUND
  • TRUNC
  • MOD
  • Functions used for manipulating date and time data.
  • TO_DATE
  • MONTHS_BETWEEN
  • ADD_MONTHS
  • LAST_DAY
  • Functions used for converting data from one datatype to another.
  • TO_NUMBER
  • TO_DATE
  • TO_CHAR
  • EXTRACT
  • CASTq
  • Functions used for changing the case of character data.
  • UPPER
  • LOWER
  • INITCAP
  • Functions used for manipulating character strings and also called as window function.
  • LENGTH
  • CONCAT
  • REPLACE
  • TRANSLATE
  • SUBSTR
  • INSTR
  • LPAD
  • RPAD
  • LTRIM
  • RTRIM
  • TRIM
  • ASCII
  • CHR
  • Functions used for performing analytical operations on a set of rows.
  • ROW_NUMBER
  • RANK
  • DENSE_RANK
  • LEAD
  • LAG
  • FIRST_VALUE
  • LAST_VALUE
  • ROLLUP
  • CUBE
  • Techniques used for combining rows from two or more tables based on a related column between them.
  • EQUI JOIN/INNER JOIN / NATURE JOIN
  • NON EQUI JOIN / OUTER JOIN
  • LEFT OUTER
  • RIGHT OUTER
  • FULL OUTER
  • CROSS JOIN / CARTESIAN PRODUCT
  • SELF JOIN
  • Queries nested within another query used to retrieve data from one or more tables.
  • SINGROW/MULTIROW SUBQUERY
  • SCALAR SUBQUERY
  • NESTED SUBQUERY
  • INLINE VIEW
  • CORELATED SUBQUERY
  • Operators used for combining the results of two or more SELECT statements.
  • UNION
  • UNION ALL
  • INSTERSECT
  • MINUS
  • Index Creation and Maintenance Creating and managing indexes to improve query performance.
  • Types of Indexes :
    • B-Tree
    • Bitmap
    • Function-Based
    • Reverse Key.
    • Cluster Index
    • Non Cluster Index
  • Rules applied to columns to enforce data integrity.
  • Unique key
  • Primary key
  • Foreign Key
  • Not null
  • Check
  • Default
  • Creating and Managing Views: Virtual tables based on the result of a SELECT statement.
  • Types of views
    • Simple view
    • Complex View
    • Force view
  • Creating and Managing Materialized Views: Precomputed result set stored as a physical object.
  • Refresh Modes
    • On demand
    • On commit
  • Refresh Methods
    • Refresh fast
    • Refresh complete
    • Refresh Force
    • Never refresh
  • Creating and Using Global Temporary Tables: Temporary tables used for storing session-specific data.
  • On commit delete rows
  • On commit preserve rows
  • Creating and Using Sequences: Objects used for generating unique numeric values.
  • Creating and Using Synonyms: Alternative names for database objects.
  • Types of synonyms :
    • Private synonym
    • Public synonym
Advanced Topics
  • Loading Data into Oracle Database Tables: Bulk data loading utility.
  • Direct load
  • Conventional load
  • Data Integration: Import data from various external sources such as CSV files, text files, or other databases directly into the database for analysis and reporting purposes.
  • Data Loading: Load large volumes of data efficiently into the database without the need for complex ETL (Extract, Transform, Load) processes.
  • Real-Time Data Access: Access real-time data stored in external files or databases without the need to copy or move data into the database.
  • Data Transformation: Convert rows of data into columns (Pivot) or columns into rows (Unpivot) to reshape data for better analysis and reporting.
  • Aggregation: Aggregate and summarize data across different dimensions for analytical purposes, such as generating reports or creating dashboards.
  • String Aggregation: Concatenate multiple values from different rows into a single string for reporting or analysis purposes.
  • Group Concatenation: Aggregate values within groups based on specified criteria and concatenate them into a single string.
  • Pattern Matching: Search, extract, and manipulate text data using complex patterns defined by regular expressions.
  • NVARCHAR()
  • Data Validation: Validate and cleanse data by matching against predefined patterns or rules using regular expressions.
  • Dividing large tables into smaller, more manageable parts.
  • Types of partitions
    • Range Partitioning
    • List Partitioning
    • Hash Partitioning
  • Performance Analysis: Identify and analyze performance bottlenecks in SQL queries using various tools and techniques.
  • Indexing: Optimize query performance by creating and maintaining appropriate indexes on tables.
  • Query Rewriting: Rewrite inefficient SQL queries to improve performance and resource utilization.
  • Query Optimization: Understand and analyze the execution plan generated by the SQL optimizer to identify areas for optimization.
  • Cost-Based Optimization: Evaluate the cost and efficiency of different execution plans to choose the most efficient one for query execution.
  • Query Optimization: Provide hints to the SQL optimizer to influence the execution plan and improve query performance.
  • Query Plan Control:Control the execution plan of SQL queries by specifying optimization goals, access paths, or join methods.
  • Automation: Schedule and automate recurring database tasks such as data backups, maintenance activities, or report generation.
  • Task Management: Manage and monitor scheduled jobs, including scheduling, execution, and logging of job activities.
Oracle PL/SQL Training

Top PL/SQL Training in Chennai

SQL is a popular programming language known as a fourth-generation language. It's designed to be user-friendly compared to older languages like machine and assembly languages. With SQL, you can efficiently search and modify database records.

PL/SQL (Procedural Language extensions to SQL) is an extension of SQL that allows you to write procedural code using SQL commands.

PL/SQL code is compiled and stored within the Oracle database, making it run efficiently. Both PL/SQL and SQL run within the same server process, which helps with efficiency.

PL/SQL inherits security, dynamic features, and portability from the Oracle database automatically.

If you're interested in learning how to create and manage PL/SQL program units, PL/SQL data types, and the role of SQL in PL/SQL, consider enrolling in the top PL/SQL Training Institute in Chennai.

Opportunities in PL/SQL Training in Chennai

PL/SQL, an extension of SQL, makes coding easier with its procedural approach. You don't even need to understand APIs for important tasks like creating statements. PL/SQL developers are essentially Oracle developers with good knowledge of PL/SQL.

Simply knowing PL/SQL concepts won't be sufficient for career growth. You should also have a decent understanding of Python, Java, data warehousing, and shell scripting. Additionally, familiarity with various database engines like MySQL, SQL Server, and NoSQL can be beneficial.

The best PL/SQL Training Institute in Chennai covers all PL/SQL concepts, including architecture, program structure, syntax, operators, and installation.

Requirements for PL/SQL Training in Chennai

To join the PL/SQL Course in Chennai, it's beneficial to have a basic understanding of SQL and some familiarity with programming concepts like those used in C language.

Who Should Join our PL/SQL Training Institute in Chennai?

Anyone looking to improve their skills with PL/SQL.

College graduates interested in learning about PL/SQL and its connection to SQL.

Database administrators and software developers.

Careers in PL/SQL Programming

After finishing PL/SQL training in Chennai, you can pursue various roles such as:

Oracle Developer PL/SQL Developer Software Engineer, and more.

PL/SQL Course Outline

The syllabus for the Oracle PL/SQL Course in Chennai is carefully crafted with industry insights and structured to ensure comprehensive learning. Our focus is on the holistic development of students, and the syllabus reflects this commitment. It's regularly updated to incorporate any necessary changes and undergoes frequent evaluation by industry professionals.

  • Overview of PL/SQL
  • Advantages of PL/SQL
  • PL/SQL
  • PL/SQL Block Structure
  • Variables and Constants
  • Data Types
  • Operators
  • PLSQL attributes
  • Ref cursors
  • Conditional Control (IF-THEN-ELSE)
  • Looping Control (LOOP, FOR LOOP, WHILE LOOP)
  • Nested Control Structures
  • Implicit Cursors
  • Explicit Cursors
  • Cursor Attributes
  • Types of Exceptions
  • Exception Handling Techniques
  • RAISE Statement
  • Raise appplication error
  • Pragma Exception init
  • Error logging
  • Pragma autanamous transaction
  • Creating and Executing Procedures
  • Parameters in Procedures
  • Overloading Procedures
  • Creating and Calling Functions
  • Parameters in Functions
  • Returning Values from Functions
  • Introduction to Packages
  • Creating Packages
  • Using Package Components
  • Pragma serially resuable
  • Introduction to Triggers
  • Types of Triggers
  • Trigger Execution Timing
  • EXECUTE IMMEDIATE Statement
  • DBMS_SQL Package
  • Collections (Nested Tables, Varrays, Associative Arrays)
  • Bulk collection
  • Bulk Binding
  • Save exceptions
  • Query Optimization Techniques
  • PL/SQL Code Optimization
  • Indexing and Partitioning
  • Case Studies and Practical Examples
  • Real time Project Work
  • PL/SQL Coding Standards
  • Error Handling Guidelines
  • Performance Optimization Strategies
  • Using SQL in PL/SQL Blocks
  • Embedded SQL Statements
  • XML Processing in PL/SQL
  • Secure Coding Practices
  • Interfacing with External Systems
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