Oracle Database Training

The Oracle Database Training course at RexGalaxy Academy is a practical 5-month program designed for students, freshers, database beginners, backend learners, reporting professionals, software developers, QA testers, and support engineers who want to build strong Oracle SQL, PL/SQL, database design, and DBA foundation skills. The course begins with RDBMS concepts and gradually moves into SQL querying, filtering, sorting, functions, aggregation, joins, subqueries, set operators, DDL, DML, constraints, transactions, schema design, normalization, database objects, PL/SQL programming, cursors, exceptions, stored procedures, packages, triggers, security, backup awareness, and capstone project work.

This training is built around practical database work. Students learn how to create tables, write clean queries, generate reports, validate data, design schemas, manage relationships, handle transactions safely, build PL/SQL programs, troubleshoot common errors, and understand the DBA concepts needed for database support roles. The course also includes reporting assignments, PL/SQL coding labs, documentation review, troubleshooting drills, and interview-style explanation of SQL and database concepts.

Key learning highlights:

• Understand Oracle Database, RDBMS concepts, schemas, tables, keys, relationships, transactions, and database workflow.

• Write clean SQL queries using SELECT, WHERE, ORDER BY, functions, grouping, joins, subqueries, set operators, and report-focused logic.

• Create and manage database objects using DDL, DML, constraints, transactions, views, sequences, synonyms, indexes, and safe schema practices.

• Design normalized relational schemas with ER diagrams, data dictionaries, naming standards, business rules, and documentation habits.

• Build PL/SQL programs using blocks, variables, control structures, cursors, exceptions, procedures, functions, packages, and triggers.

• Learn DBA foundation topics including users, privileges, roles, security basics, backup awareness, monitoring, tablespaces, migration, and performance basics.

By the end of this course, learners can create Oracle schemas, write business reports, build PL/SQL programs, explain database design, troubleshoot common database errors, and present a portfolio-ready Oracle project with SQL scripts, PL/SQL code, ER diagram, test cases, screenshots, and documentation.

This module builds a clear foundation in relational databases, Oracle architecture awareness, schemas, objects, and professional database workflow. Students learn the purpose of databases and how Oracle is used in business applications.

Topics covered:

• Database fundamentals including data, tables, rows, columns, keys, relationships, transactions, consistency, and why databases are used in business systems.

• Oracle ecosystem including Oracle Database, SQL Developer, SQL*Plus awareness, schemas, users, tablespaces awareness, and common development tools.

• RDBMS concepts such as primary key, foreign key, unique key, candidate key, entity, attribute, relationship, and referential integrity.

• Basic architecture awareness including instance, database, memory areas, background processes, data files, control files, redo logs, and listener concept.

• Schema design basics including naming standards, table planning, column selection, data type choices, mandatory fields, and clear documentation.

• Oracle data types including NUMBER, VARCHAR2, CHAR, DATE, TIMESTAMP, CLOB awareness, precision, scale, and choosing the right type.

• SQL workflow: connect to database, create worksheet, write statements, run scripts, review output, save files, and organize practice folders.

Practical outcome:

• Students understand Oracle database basics and can confidently start writing organized SQL scripts in a lab environment.

This module teaches students how to retrieve useful data from Oracle tables using clean SELECT statements, filters, sorting, aliases, expressions, and report-friendly output.

Topics covered:

• SELECT fundamentals: choose columns, select all columns, use aliases, format output, calculate expressions, and understand result sets.

• WHERE clause with comparison operators, logical operators, BETWEEN, IN, LIKE, IS NULL, IS NOT NULL, and common filtering mistakes.

• Sorting data using ORDER BY, ascending and descending order, multiple sort columns, null sorting awareness, and report-friendly ordering.

• Column expressions including arithmetic calculations, concatenation, literals, calculated fields, column headings, and readable output labels.

• Pattern matching with LIKE, wildcards, case sensitivity awareness, escaping special characters, and matching partial business values.

• Handling nulls including null meaning, null comparisons, NVL awareness, empty values, and avoiding incorrect report assumptions.

• Row limiting awareness with FETCH FIRST, ROWNUM concept, top records, sample records, and pagination-style query thinking.

Practical outcome:

• Students can write clean SELECT queries that retrieve accurate business records using filters, sorting, and expressions.

This module develops reporting power through Oracle functions and aggregation techniques. Students learn how to transform data, summarize records, and prepare useful business reports.

Topics covered:

• Single-row functions including character, number, date, conversion, and general functions that transform output row by row.

• Character functions such as UPPER, LOWER, INITCAP, SUBSTR, INSTR, LENGTH, TRIM, REPLACE, LPAD, RPAD, and cleanup use cases.

• Number functions including ROUND, TRUNC, MOD, CEIL, FLOOR awareness, numeric calculations, billing examples, and reporting precision.

• Date functions including SYSDATE, ADD_MONTHS, MONTHS_BETWEEN, NEXT_DAY awareness, date arithmetic, aging reports, and due-date checks.

• Conversion functions such as TO_CHAR, TO_DATE, TO_NUMBER, format models, date display formats, and safe conversion practices.

• General functions including NVL, NVL2, NULLIF, COALESCE, CASE, DECODE awareness, and handling missing or conditional values.

• Aggregate functions including SUM, COUNT, AVG, MIN, MAX, distinct counts, null behavior, and summary report accuracy.

Practical outcome:

• Students can build summary queries and reporting outputs using Oracle functions, grouping, and conditional logic.

This module teaches students how to connect multiple tables and solve reporting problems using joins, nested queries, and set operators. Learners practice query planning and output validation.

Topics covered:

• Join fundamentals: why tables are joined, relationship columns, primary and foreign keys, join conditions, and avoiding duplicate results.

• Inner joins for matching records, multiple-table joins, readable table aliases, filter placement, and business report examples.

• Outer joins including left, right, full outer joins, missing record analysis, unmatched values, and reconciliation-style reports.

• Self joins for hierarchy reporting, manager-employee examples, parent-child relationships, and alias-based query clarity.

• Cross joins awareness, Cartesian product meaning, accidental cross joins, and why missing join conditions can be dangerous.

• Subqueries including single-row, multi-row, correlated awareness, IN, ANY, ALL, EXISTS awareness, and nested filtering logic.

• Set operators including UNION, UNION ALL, INTERSECT, MINUS, column compatibility, duplicate behavior, and data comparison use cases.

Practical outcome:

• Students can combine data from multiple tables accurately using joins, subqueries, and set operators.

This module teaches students how to create and manage database objects while performing safe insert, update, delete, commit, and rollback operations.

Topics covered:

• DDL commands including CREATE, ALTER, DROP, TRUNCATE, RENAME awareness, object lifecycle, and safe schema change practices.

• Table creation with column definitions, data types, default values, nullable fields, comments awareness, and readable table scripts.

• Constraints including NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY, CHECK, default values, and enforcing data quality at database level.

• DML commands including INSERT, UPDATE, DELETE, MERGE awareness, where-clause safety, and protecting important records from mistakes.

• Transactions including COMMIT, ROLLBACK, SAVEPOINT, auto-commit awareness, consistency, and why transaction control matters.

• Referential actions including parent-child records, constraint violations, delete restrictions, cascade awareness, and business rule protection.

• Data loading awareness with insert scripts, sample data generation, CSV import idea, and validating row counts after loading.

Practical outcome:

• Students can create reliable Oracle database structures and perform safe data changes using transaction discipline.

This module focuses on designing clean relational databases using entities, relationships, normalization, keys, and documentation practices. Students learn how to turn business requirements into database structures.

Topics covered:

• Requirement analysis: identify business process, users, data fields, reports, rules, validations, and expected transactions.

• Entity modeling with entities, attributes, identifiers, relationships, cardinality, optionality, and translating requirements into tables.

• ER diagrams including table boxes, key fields, relationship lines, one-to-one, one-to-many, many-to-many, and junction tables.

• Normalization including 1NF, 2NF, 3NF, repeated groups, partial dependency, transitive dependency, and reducing data duplication.

• Denormalization awareness for reporting needs, performance trade-offs, summary tables, and when not to over-normalize.

• Naming standards for table names, column names, constraint names, index names, sequence names, and consistent enterprise style.

• Master and transaction data examples including customers, products, employees, vendors, orders, invoices, payments, and audit fields.

Practical outcome:

• Students can design structured Oracle database schemas that are clear, normalized, and ready for application use.

This module teaches important Oracle database objects that simplify reporting, generate keys, improve access, and support maintainable applications.

Topics covered:

• Views including purpose, simple views, complex views awareness, report views, security use cases, and hiding unnecessary columns.

• View management including create, replace, drop, column aliases, updatable view awareness, and limitations in real systems.

• Sequences including automatic number generation, NEXTVAL, CURRVAL, cache awareness, invoice numbers, IDs, and key generation habits.

• Synonyms including private and public synonym awareness, object name simplification, cross-schema access concept, and readability.

• Indexes including purpose, B-tree concept, unique indexes, composite indexes, when indexes help, and when too many indexes hurt.

• Execution awareness with explain plan idea, full table scan awareness, index usage awareness, and reading performance clues.

• Constraints and indexes including primary key indexes, unique constraints, foreign key indexing awareness, and data integrity links.

Practical outcome:

• Students can use Oracle objects to create maintainable reporting structures and support faster, cleaner data access.

This module introduces programming inside Oracle using PL/SQL blocks, variables, data types, control flow, and clean coding habits.

Topics covered:

• PL/SQL purpose: why procedural logic is used in databases, where PL/SQL fits, and how it supports business rules.

• Block structure including declaration section, executable section, exception section, anonymous blocks, comments, and readable formatting.

• Variables and constants, data types, anchoring with %TYPE awareness, assignment, scope, initialization, and naming standards.

• Output and debugging using DBMS_OUTPUT, messages, line-by-line checks, compile errors, runtime errors, and practical debugging habits.

• Control structures including IF, ELSIF, CASE, simple loops, WHILE loops, FOR loops, EXIT, CONTINUE awareness, and logic readability.

• SQL inside PL/SQL including SELECT INTO, DML statements, transaction control awareness, and using variables with SQL statements.

• Records and collections awareness including row structures, table-like structures, bulk thinking basics, and when advanced structures help.

Practical outcome:

• Students can write clear PL/SQL blocks that combine SQL statements with procedural business logic.

This module teaches row-by-row processing and predictable error handling using cursors, exception blocks, and robust program control.

Topics covered:

• Cursor concept including implicit cursor, explicit cursor, result set processing, cursor lifecycle, and when cursors are needed.

• Explicit cursors including declare, open, fetch, close, cursor attributes, loop patterns, and avoiding cursor mistakes.

• Cursor FOR loops for simplified cursor handling, readable processing, report generation, and row-wise business actions.

• Parameterized cursors for passing values, reusable row processing, filtered results, and business scenario handling.

• Exception model including predefined exceptions, user-defined exceptions, raise statements, SQLCODE, SQLERRM awareness, and error flow.

• Common exceptions including NO_DATA_FOUND, TOO_MANY_ROWS, ZERO_DIVIDE, DUP_VAL_ON_INDEX, VALUE_ERROR, and practical examples.

• Error logging awareness including storing error details, safe messages, troubleshooting notes, and avoiding exposure of sensitive information.

Practical outcome:

• Students can process multiple records and handle errors safely in practical Oracle PL/SQL programs.

This module teaches reusable Oracle database programming using stored procedures, functions, packages, triggers, and modular business logic.

Topics covered:

• Stored procedures including parameters, IN, OUT, IN OUT awareness, reusable operations, validation logic, and execution workflow.

• Functions including return values, deterministic awareness, function use cases, calculations, validation utilities, and SQL usage cautions.

• Packages including specification, body, public members, private logic, modular organization, and enterprise PL/SQL structure.

• Triggers including before and after triggers, row-level and statement-level awareness, audit use cases, and safe trigger design.

• Business logic examples such as employee validation, invoice numbering, stock update, approval status, audit history, and calculation utilities.

• Parameter handling including default values, null checks, output messages, validation errors, and user-friendly procedure behavior.

• Compilation and dependencies including invalid objects, recompile workflow, package errors, trigger errors, and dependency awareness.

Practical outcome:

• Students can create reusable Oracle database programs that support real application and reporting needs.

This module introduces essential DBA foundation topics such as users, roles, privileges, backup awareness, monitoring, and operational safety.

Topics covered:

• User management including create user awareness, schema ownership, passwords, account status, quotas awareness, and responsible access handling.

• Privileges including system privileges, object privileges, GRANT, REVOKE, least privilege, and avoiding unnecessary access.

• Roles including role purpose, grouping permissions, developer roles, reporting roles, and access management documentation.

• Security basics including strong passwords, sensitive data awareness, audit trail thinking, SQL injection awareness, and secure application practices.

• Backup awareness including export/import concepts, Data Pump awareness, RMAN concept, logical backup versus physical backup, and recovery planning.

• Monitoring awareness including sessions, locks, invalid objects, storage checks, performance symptoms, alert log concept, and operational review.

• Tablespace awareness including data files, storage allocation, growth planning, temporary tablespace, and why storage matters.

Practical outcome:

• Students understand Oracle DBA support basics and can apply secure, careful database administration habits.

The final module brings the complete Oracle journey together through a portfolio-grade project with schema, SQL reports, PL/SQL code, documentation, and interview preparation.

Topics covered:

• Capstone planning: choose business case, list entities, define reports, plan PL/SQL logic, prepare sample data, and set milestones.

• Project options such as inventory system, employee payroll, student management, billing system, sales reporting, purchase tracking, or library database.

• Schema delivery including ER diagram, normalized tables, constraints, sequences, indexes, views, and sample data scripts.

• SQL reporting including joins, subqueries, group reports, date reports, exception reports, reconciliation outputs, and management summaries.

• PL/SQL delivery including procedures, functions, packages, cursors, exception handling, triggers, test blocks, and reusable business logic.

• Quality review including script order, object validation, row counts, expected outputs, rollback tests, spelling checks, and naming consistency.

• Portfolio documentation including README, setup steps, data dictionary, ER diagram, SQL file list, screenshots, test results, and known limitations.

Practical outcome:

• Students deliver an interview-ready Oracle database project and confidently explain SQL, PL/SQL, design, and DBA basics.