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Oracle SQL Course Syllabus

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Softlogic Systems Oracle SQL Course Syllabus is specifically designed for College Students, Freshers, and Job Seekers. Our Oracle SQL syllabus covers the Oracle database architecture, SQL syntax, DDL & DML commands, joins, subqueries, views, indexes, and performance tuning. Our Oracle SQL Course Content helps you learn Oracle SQL step by Step with real-time projects and Interview Preparations.

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Syllabus for The Oracle SQL Course

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  • 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
  • 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
  • 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 synonyms
  • 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

Conclusion

The Oracle SQL Course Syllabus above is for college students, people who have just graduated, and those looking for a job. Our Softlogic Systems provides a syllabus about Oracle SQL, including Oracle database architecture, SQL syntax, DDL & DML commands, joins, subqueries, views, indexes, and performance tuning. After completing this syllabus, you will do projects, prepare for job interviews, and apply for jobs. By learning step by step, Oracle SQL will help students get a job placement. The goal is to make students learn Oracle SQL in a way that helps them get a job.

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FAQs

SQL stands for Structured Query Language and is used to interact with relational databases to manipulate data. It includes commands such as SELECT, INSERT, UPDATE, and DELETE that allow users to query and modify data.

To define, access, and preserve data, Oracle SQL offers a simple, elegant, and efficient architecture. Utilize SQL with APEX, Hadoop, PHP, Java, Python,.NET, and Oracle. 

SQL stands for Structured Query Language, and it is used for data access, definition, and maintenance. To define, access, and preserve data, Oracle SQL offers a simple, elegant, and efficient architecture. Utilize SQL with Oracle, PHP, Python, Java,.NET, Hadoop, and Node. To learn more, enroll in our Oracle SQL online training at SLA.

Choose SLA as your preferred Oracle SQL Training Institute in OMR for its expert-led training, hands-on learning, guaranteed placement guidance, flexible scheduling, and personalized support. Our program guarantees your success in mastering Oracle SQL.

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Yes, Oracle and SQL (Structured Query Language) are different. Relational databases are managed and altered using standardized languages called SQL, while Oracle is a commercial database management system (DBMS) created by Oracle Corporation.

Learning it isn’t that difficult, provided you know your way around Linux and SQL.

Yes, SLA offers EMI options for students with 0% interest to make the training more financially manageable.

You can connect to an Oracle database using SQL by using sqlplus, a command-line interface for writing and running SQL scripts. This can be done either directly or through programming languages such as Java, PHP, Python, etc.

SLA operates two branches, one in K.K. Nagar and the other in OMR Navalur, providing students with convenient access to their training centers.

One of the most popular database management systems in use today is Oracle SQL. It is especially well-liked by big businesses with mission-critical databases, and it powers mostly commercial and enterprise apps.

Compared to other programming languages like Java and C++, SQL is simpler to master. It assists you in managing large amounts of structured data. Simple SQL procedures can query a million rows of data. SQL enables you to normalize and standardize your data.

It won’t take long to learn the foundations of Oracle APEX. But if you’re not sure where to begin, need some reading material, or just a little motivation along the way, check out these helpful resources.

Oracle SQL can be challenging for beginners due to its complexity and the need to understand database concepts. However, with practice and guidance, it becomes easier to work with.

The basic sql commands in oracle are CREATE, ALTER, INSERT, SELECT, UPDATE and DELETE. These commands help in creating, altering, inserting, selecting, updating and deleting the data respectively.

When it comes to database jobs, SQL offers some of the most lucrative opportunities, with some of the highest incomes.

These enhancements are essential to SQL’s future adaptability and evolution with the shifting data landscape, and they help SQL meet the demands of big data processing.

While MySQL excels at managing smaller-scale relational databases and provides both vertical and horizontal scalability, Oracle is geared for large-scale operations with high-performance techniques and real application clusters.

The different types of SQL data types are NUMERIC, VARCHAR, BOOLEAN, DATE and TIMESTAMP.

Oracle SQL is very helpful. It’s used to manage and query data in Oracle databases, which are commonly used in many businesses. Knowing Oracle SQL is essential for handling data efficiently and is valuable for database professionals.

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