DIPLOMA IN ORACLE DATABASE COURSE

Course Duration : 4 Months

SQL fundamental concepts and syllabus.

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  1. Listing The Features Of Oracle Database 10g/11G/12C
  2. Discussing The Basic Design, Theoretical And Physical Aspects Of A Relational Database.
  3. Describing The Development Environments For SQL
  4. Describing Oracle SQL Developer, Describing The Data Set Used By The Course.
  1. SDLC(SOFTWARE DEVELOPMENT LIFE CYCLE).
  2. ERD(ENTITY RELATIONSHIP DESIGN).
  3. PROJECT ALLOCATION.
  4. IMPLEMENTATION OF PROJECTS USING SQL PLSQL.
  1. Listing The Capabilities Of SQL SELECT Statements Like Projection Selection And Join.
  2. Generating A Report Of Data From The Output Of A Basic SELECT Statement.
  3. Using Arithmetic Expressions In The SELECT Statement.
  4. Using Column Aliases And Naming Column In Report.
  5. Using Concatenation Operator, Literal, Alternative Quote Operator, And The DISTINCT Keyword.
  6. Displaying The Table Structure Using The DESCRIBE Command.
  1. Writing Queries With A WHERE Clause To Limit The Output Retrieved Using The Comparison Operators And Logical Operators.
  2. Describing The Rules Of Precedence For Comparison And Logical AND Conditional Operators.
  3. Writing Queries With An ORDER BY Clause To Sort The Output.
  4. Sorting Output In Descending And Ascending Order.
  5. Using The Substitution Variables.
  1. Differentiating Between Single Row And Multiple Row Functions.
  2. Manipulating Strings Using Character Functions Like SUBSTR,INSTR,LENGTH,LOWER ,UPPER,TRIM Etc.
  3. Manipulating Numbers With The ROUND, TRUNC And MOD Functions.
  4. Performing Arithmetic With Date Data Types.
  5. Manipulating Dates With The Date Functions.
  1. Describing Implicit And Explicit Data Type Conversion.
  2. Using The TO_CHAR, TO_NUMBER, And TO_DATE Conversion Functions.
  3. Nesting Multiple Functions Single Row And Multiple Row Functrions.
  4. Applying The NVL, NULLIF, And COALESCE Functions To Data.
  5. Using Conditional IF THEN ELSE Logic In A SELECT Statement.
  6. Decode Function.
  1. Using The Aggregation Functions In SELECT Statements To Produce Meaningful Reports.
  2. Using AVG, SUM, MIN, And MAX Function.
  3. Handling Null Values In A Group Function.
  4. Creating Queries That Divide The Data In Groups By Using The GROUP BY Clause.
  5. Creating Queries That Exclude Groups Of Date By Using The HAVING Clause.
  6. Difference Between HAVING Clause And WHERE Clause.
  1. Writing SELECT Statements To Access Data From More Than One Table.
  2. Viewing Data That Does Not Meet A Join Condition By Using Outer Joins.
  3. Joining A Table By Using A Self Join.
  4. Creating Cross Joins(Cartesian Product).
  1. Using A Subquery To Solve A Problem.
  2. Executing Single-Row And Multiple Row Sub-Queries.
  3. Using Group Functions In A Sub-Query.
  4. Using The IN,ANY And ALL Operator In Multiple-Row Sub-Queries.
  1. Describing The SET Operators.
  2. Using UNION, UNION ALL, INTERSECT, And MINUS Operator.
  3. Using The ORDER BY Clause In Set Operations.
  1. DML INSERT ,UPDATE DELETE Statement.
  2. Using DROP And TRUNCATE Statements.
  3. Saving And Discarding Changes With The COMMIT And ROLLBACK Statements.
  4. Read Consistency.
  1. Database Objects.
  2. Creating Tables Using The CREATE TABLE Statement And Describing The Data Types.
  3. Types Of Constraints.
  4. Creating A Table Using A Subquery.
  5. Altering And Dropping A Table.
  6. Copying Data Using Subquery.
  1. Creating, Modifying, And Retrieving Data From A View Object.
  2. Performing Data Manipulation Language (DML) Operations On A View.
  3. Dropping A View.
  4. Creating, Using, And Modifying A Sequence.
  5. Creating Indexes.
  6. Creating Synonyms.
  7. SQL FUNDAMENTAL II
  1. Introduction.
  2. Course Prerequisites.
  3. Human Resources (HR) Schema.
  4. Review Of Using Oracle SQL Developer.
  5. SQL Statements In SQL*Plus.
  6. Review Of Vital Concepts Of SQL Fundametal I.
  7. Control User Access.
  8. Identify The System And Object Privileges.
  9. Create Users And Altering User.
  10. Grant System And Objects Privileges.
  11. Create And Grant Privileges To A Role.
  12. Altering Your Password.
  13. Revoke Object And System Privileges.
  14. Management Of Schema Objects.
  15. Add, Modify, And Drop,Defer A Column And Constraints.
  16. Enable And Disable A Constraint.
  17. Create And Remove Indexes.
  18. Create A Function-Based Index.
  19. Perform Flashback Operations Using FLASHBACK Command.
  20. Create An External Table By Using ORACLE_LOADER And By Using ORACLE_DATAPUMP.
  21. Manage Objects With Data Dictionary Views.
  22. What Is The Data Dictionary Views.
  23. USER_OBJECTS And ALL_OBJECTS Views.
  24. View Table And Column Information, Constraint Information.
  25. Query The Dictionary Views For View, Sequence, Index And Synonym Information.
  26. Add A Comment To A Table.
  27. Manipulate Large Data Sets.
  28. Retrieve Data Using A Subquery.
  29. Insert Data Using A Subquery As A Target.
  30. Use The WITH CHECK OPTION Keyword On DML Statements For View.
  31. List The Types Of Multitable INSERT Statements.
  32. Identify Multitable INSERT Statements.
  33. Merge Rows In A Table Using MERGE Command.
  34. How To Track Changes In Database Transactions.
  35. Data Management In Different Time Zones.
  36. The CURRENT_DATE, CURRENT_TIMESTAMP, And LOCALTIMESTAMP Functions.
  37. Describe DBTIMEZONE And SESSIONTIMEZONE In Timestamp.
  38. List The Differences Between DATE And TIMESTAMP Data Types.
  39. Identify The INTERVAL Data Types Year To Month And Day To Seconds.
  40. Use TO_TIMESTAMP, TO_YMINTERVAL, And TO_DSINTERVAL,EXTRACT FUNCTIONS.
  41. Retrieve Data Using Subqueries.
  42. Multiple-Column Subqueries With Types Pairwise And Nonpairwise.
  43. Correlated Subqueries.
  44. Insert,Update And Delete Rows Using Correlated Subqueries.
  45. Use The EXISTS And NOT EXISTS Operators.
  46. Use The WITH Clause In SQL.
  47. Regular Expression Support.
  48. Meta Characters With Regular Expressions.
  49. Perform A Basic Search Using The REGEXP_LIKE Function With Operator.
  50. Find Patterns Using The REGEXP_INSTR Function With Operator.
  51. Extract Substrings Using The REGEXP_SUBSTR Function With Operator.
  52. Replace Patterns Using The REGEXP_REPLACE Function With Operator.
  53. Hierarchical Retrival In SQL:
  54. Top Down And Bottom Up Approach.
  55. Connect By Clause.
  56. Start With Clause.
  57. Difference Between Connect By And Where Clause.
  1. ROLLUP AND CUBE Grouping Operator.
  2. GROUPING Function.
  3. Concanated Grouping With Grouping Sets.
  4. Composite Grouping.
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