SlideShare a Scribd company logo
1 of 4
Greens Technology Velachery, 28 Nagendra Nagar, Anna garden, velachery, Chennai – 42
Website : www.greenstechnologies.in | C : 9790835826
Oracle SQL Course Abstract (Includes ANSI SQL / ISO SQL)
1. Basic DATABASE Concept and SQL
 Basic history ofdatabase concept:DBMS,RDBMS, ORDBMS
 Advantage ofORACLE databaseand versioninformation
 Interface tools usage:sqlplus,isqlplus,sqldeveloper,Toad
 SQL Language overview:DQL, DML, DDL, DCL, TCL
 What is the usage ofANSIstandard.
 SELECT Command - Column Alias Rules,String data,
 Concatenationswith variousdata
 Null Value handling with numberand characters,
 Arithmetic Operator
 ConcatenationOperator,
 Eliminating Duplicate Rows
2. Restricting and Sorting Data
 WHERE Clause - CharacterStrings and Dates,number
 General Comparison Conditions=> >= < <= <>
 OtherComparison BETWEEN , IN , LIKE , NULL
 Logical Conditions ANDORNOT
 ORDER BY Clause,Sorting by Column Alias , Column Position,Multiple Columns
3. Single-Row Functions
 CharacterFunctions:UPPER, LOWER, INITCAP, LENGTH, SUBSTR, INSTR, LPAD, RPAD, CONCAT,
LTRIM, RTRIM, TRIM, REPLACE, TRANSLATE, REVERSE
 Number Functions:ROUND, TRUNC, MOD, POWER, CEIL , FLOOR, ABS
 Dates Functions:SYSDATE, MONTHS_BETWEEN, NEXT_DAY, LAST_DAY, ADD_MONTHS,ROUND,
TRUNC, Arithmetic on Date
 Conversion Functions:Implicit Data-Type Conversion &Explicit Data-Type Conversion,TO_CHAR
,TO_NUMBER ,TO_DATE
 General Functions:NVL , NVL2 , NULLIF, COALESCE
 CASE Expression,DECODE
 Nested function with real-time usage
4. JOINS
 EQUI JOIN / SIMPLE JOIN / NORMAL JOIN
 ANSI JOIN, LEFT OUTER, RIGHT OUTER, FULL OUTER
 NATURAL JOIN, NATURALOUTER JOINS
 INNER JOIN, JOIN ... USING clause,JOIN... ON clause,
 CROSS JOIN, NON-EQUI JOIN, SELF JOIN
 ORACLE STANDARDOUTER JOINS.
 Multitable Joins,Complex Joins – How to simplified complex joins.
Greens Technology Velachery, 28 Nagendra Nagar, Anna garden, velachery, Chennai – 42
Website : www.greenstechnologies.in | C : 9790835826
5. Multi-row Functions
 Group FunctionsRules,SUM,MIN,MAX,COUNT, AVG
 Creating Groups ofData: GROUP BY Clause
 Filtering Group Results:The HAVING Clause
6. Sub-queries
 Single-Row Subqueries-Rules,Operators := > >= < <= <>
 Null Values in a Subquery
 Multi-RowSubqueries-Rules,Operators :IN, ANY , ALL
7. Reporting data using interface commands
 pagesize,linesize , column heading ,column format , colsep
 tTitle , bTitle , breakon column,spool,CSV file generation,Text file generation
8. Data Manipulation Language DML and Transaction Control Language TCL
 DML : INSERT, UPDATE, DELETE, MERGE
 TCL : COMMIT,ROLLBACK, SAVEPOINT
9. Data Definition Language - DDL
 DDL : CREATE, ALTER, RENAME, DROP, TRUNCATE
 DEFAULT OPTION.
 Constrain table copy
10. Constraints
 NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY, CHECK
 Column Level Constraint,Table LevelConstraint – Naming constraints andusage
 Adding a Constraint,Dropping a Constraint,
 Disabling Constraints,Enabling Constraints
 Validating Constraints
11. Views
 Simple Views and Complex Views – Create,Drop, Source Code
 Rules for Performing DML Operations on a View
 WITHCHECK OPTION , WITH READ ONLY
 Inline Views
 Materialized View – Create, Refresh,Drop - Usage
12. Other Database Objects
 Sequence-NEXTVAL and CURRVAL
 Index- When to Create an Index,When Not to Create an Index.
 Synonyms
Greens Technology Velachery, 28 Nagendra Nagar, Anna garden, velachery, Chennai – 42
Website : www.greenstechnologies.in | C : 9790835826
13. DCL COMMANDS
 Creating Users
 Granting / Revoking Privileges
 Creating and Granting Privileges to a Role
14. Dictionary Tables
 Tables,Views, Synonyms,Index, Sequence,Constrains,Source andotherDictionary
15. SET Operators
 UNION ,
 UNION ALL ,
 INTERSECT ,
 MINUS
16. Advanced Date-time Functions
 TIME ZONES ,
 SYSDATE, SYSTIMESTAMP,
 CURRENT_DATE , CURRENT_TIMESTAMP
 SESSIONTIMEZONE ,
 Storing time zone data in Table
 EXTRACT ,
 TO_YMINTERVAL
17. Advanced GROUP BY Clause
 Group by with ROLLUP,
 Group by with CUBE,
 GROUPING SETS
18. Advanced Subqueries
 Pairwise Comparison Subquery ,
 Nonpairwise Comparison Subquery
 Correlated Subqueries,
 Correlated UPDATE,
 Correlated DELETE
 EXISTS , NOT EXISTS Operator
19. Hierarchical Retrieval
 Walking the Tree:From the BottomUp , Fromthe Top Down
 LEVEL Pseudo column,
 Connect by prior,
20. Multi-table Insert
Greens Technology Velachery, 28 Nagendra Nagar, Anna garden, velachery, Chennai – 42
Website : www.greenstechnologies.in | C : 9790835826
 UnconditionalINSERT ALL
 ConditionalINSERT ALL
 ConditionalFIRST INSERT
21. DATA LOADER –
 SQLLDR – Loading CSV file / Flat file into ORACLE table.
22. Analytic Functions
 WM_CONCAT,LAG, LEAD, RANK, DENSE_RANK
 Query_by partition_clause with sum,min, max, avg,count,
 order_by_clause with sum,min, max, avg,count,
 Psudo column :Rownum, Rowid, - Elimination duplicate data
 Connect by rownum,Connect by Level – Generating randomnumbers,randomdates,
 Quote Operatorsyntaxand usage
23. Backup
 Export / Import SCHEMA
24. General discussion
 What is migration?
 Migration Estimating,Planning,Preparation – Simple Scenario / Complex Scenario.

More Related Content

What's hot (13)

[PGDay.Seoul 2020] PostgreSQL 13 New Features
[PGDay.Seoul 2020] PostgreSQL 13 New Features[PGDay.Seoul 2020] PostgreSQL 13 New Features
[PGDay.Seoul 2020] PostgreSQL 13 New Features
 
SQL
SQLSQL
SQL
 
Sql
SqlSql
Sql
 
Data Purge Algorithm
Data Purge AlgorithmData Purge Algorithm
Data Purge Algorithm
 
Robert Bernier - Recovering From A Damaged PostgreSQL Cluster @ Postgres Open
Robert Bernier - Recovering From A Damaged PostgreSQL Cluster @ Postgres OpenRobert Bernier - Recovering From A Damaged PostgreSQL Cluster @ Postgres Open
Robert Bernier - Recovering From A Damaged PostgreSQL Cluster @ Postgres Open
 
1 ddl
1 ddl1 ddl
1 ddl
 
Dms 22319 micro project
Dms 22319 micro projectDms 22319 micro project
Dms 22319 micro project
 
Security in Relational model
Security in Relational modelSecurity in Relational model
Security in Relational model
 
MySQL and its basic commands
MySQL and its basic commandsMySQL and its basic commands
MySQL and its basic commands
 
SQL(DDL & DML)
SQL(DDL & DML)SQL(DDL & DML)
SQL(DDL & DML)
 
Sql statement,functions and joins
Sql statement,functions and joinsSql statement,functions and joins
Sql statement,functions and joins
 
Introduction to database
Introduction to databaseIntroduction to database
Introduction to database
 
Les11 Including Constraints
Les11 Including ConstraintsLes11 Including Constraints
Les11 Including Constraints
 

Similar to Oracle Training in Velachery Chennai

Teradata admin track
Teradata admin trackTeradata admin track
Teradata admin trackbispsolutions
 
Oracle 11g structured query language (sql)
Oracle 11g structured query language (sql)Oracle 11g structured query language (sql)
Oracle 11g structured query language (sql)elshiekh1980
 
MSBI with SQL Server T-SQL | Microsoft BI With Server T-SQL | Realtime Traini...
MSBI with SQL Server T-SQL | Microsoft BI With Server T-SQL | Realtime Traini...MSBI with SQL Server T-SQL | Microsoft BI With Server T-SQL | Realtime Traini...
MSBI with SQL Server T-SQL | Microsoft BI With Server T-SQL | Realtime Traini...SequelGate
 
Getting Started with SQL Language.pptx
Getting Started with SQL Language.pptxGetting Started with SQL Language.pptx
Getting Started with SQL Language.pptxCecilia Brusatori
 
Sql interview question part 12
Sql interview question part 12Sql interview question part 12
Sql interview question part 12kaashiv1
 
Sql interview question part 12
Sql interview question part 12Sql interview question part 12
Sql interview question part 12kaashiv1
 
Database Management System
Database Management SystemDatabase Management System
Database Management SystemAbishek V S
 
Ss83 g formation-z-os-vsam-et-access-method-services
Ss83 g formation-z-os-vsam-et-access-method-servicesSs83 g formation-z-os-vsam-et-access-method-services
Ss83 g formation-z-os-vsam-et-access-method-servicesCERTyou Formation
 
ProxySQL and the Tricks Up Its Sleeve - Percona Live 2022.pdf
ProxySQL and the Tricks Up Its Sleeve - Percona Live 2022.pdfProxySQL and the Tricks Up Its Sleeve - Percona Live 2022.pdf
ProxySQL and the Tricks Up Its Sleeve - Percona Live 2022.pdfJesmar Cannao'
 
Jovian DATA: A multidimensional database for the cloud
Jovian DATA: A multidimensional database for the cloudJovian DATA: A multidimensional database for the cloud
Jovian DATA: A multidimensional database for the cloudBharat Rane
 
Chapter Five Physical Database Design.pptx
Chapter Five Physical Database Design.pptxChapter Five Physical Database Design.pptx
Chapter Five Physical Database Design.pptxhaymanot taddesse
 
Inexpensive Datamasking for MySQL with ProxySQL — Data Anonymization for Deve...
Inexpensive Datamasking for MySQL with ProxySQL — Data Anonymization for Deve...Inexpensive Datamasking for MySQL with ProxySQL — Data Anonymization for Deve...
Inexpensive Datamasking for MySQL with ProxySQL — Data Anonymization for Deve...Ontico
 
MySQL 8 -- A new beginning : Sunshine PHP/PHP UK (updated)
MySQL 8 -- A new beginning : Sunshine PHP/PHP UK (updated)MySQL 8 -- A new beginning : Sunshine PHP/PHP UK (updated)
MySQL 8 -- A new beginning : Sunshine PHP/PHP UK (updated)Dave Stokes
 
JovianDATA MDX Engine Comad oct 22 2011
JovianDATA MDX Engine Comad oct 22 2011JovianDATA MDX Engine Comad oct 22 2011
JovianDATA MDX Engine Comad oct 22 2011Satya Ramachandran
 

Similar to Oracle Training in Velachery Chennai (20)

Payilagam oracle sql & plsql training syllabus
Payilagam oracle sql & plsql training syllabusPayilagam oracle sql & plsql training syllabus
Payilagam oracle sql & plsql training syllabus
 
Teradata admin track
Teradata admin trackTeradata admin track
Teradata admin track
 
Oracle 11g structured query language (sql)
Oracle 11g structured query language (sql)Oracle 11g structured query language (sql)
Oracle 11g structured query language (sql)
 
MSBI with SQL Server T-SQL | Microsoft BI With Server T-SQL | Realtime Traini...
MSBI with SQL Server T-SQL | Microsoft BI With Server T-SQL | Realtime Traini...MSBI with SQL Server T-SQL | Microsoft BI With Server T-SQL | Realtime Traini...
MSBI with SQL Server T-SQL | Microsoft BI With Server T-SQL | Realtime Traini...
 
Getting Started with SQL Language.pptx
Getting Started with SQL Language.pptxGetting Started with SQL Language.pptx
Getting Started with SQL Language.pptx
 
Teradata dev track
Teradata dev trackTeradata dev track
Teradata dev track
 
Sql interview question part 12
Sql interview question part 12Sql interview question part 12
Sql interview question part 12
 
Ebook12
Ebook12Ebook12
Ebook12
 
Sql interview question part 12
Sql interview question part 12Sql interview question part 12
Sql interview question part 12
 
Database Management System
Database Management SystemDatabase Management System
Database Management System
 
7. SQL.pptx
7. SQL.pptx7. SQL.pptx
7. SQL.pptx
 
Ss83 g formation-z-os-vsam-et-access-method-services
Ss83 g formation-z-os-vsam-et-access-method-servicesSs83 g formation-z-os-vsam-et-access-method-services
Ss83 g formation-z-os-vsam-et-access-method-services
 
ProxySQL and the Tricks Up Its Sleeve - Percona Live 2022.pdf
ProxySQL and the Tricks Up Its Sleeve - Percona Live 2022.pdfProxySQL and the Tricks Up Its Sleeve - Percona Live 2022.pdf
ProxySQL and the Tricks Up Its Sleeve - Percona Live 2022.pdf
 
Oracle SQL Training in Chennai, Tambaram
Oracle SQL Training in Chennai, TambaramOracle SQL Training in Chennai, Tambaram
Oracle SQL Training in Chennai, Tambaram
 
Jovian DATA: A multidimensional database for the cloud
Jovian DATA: A multidimensional database for the cloudJovian DATA: A multidimensional database for the cloud
Jovian DATA: A multidimensional database for the cloud
 
Chapter Five Physical Database Design.pptx
Chapter Five Physical Database Design.pptxChapter Five Physical Database Design.pptx
Chapter Five Physical Database Design.pptx
 
Inexpensive Datamasking for MySQL with ProxySQL — Data Anonymization for Deve...
Inexpensive Datamasking for MySQL with ProxySQL — Data Anonymization for Deve...Inexpensive Datamasking for MySQL with ProxySQL — Data Anonymization for Deve...
Inexpensive Datamasking for MySQL with ProxySQL — Data Anonymization for Deve...
 
MySQL 8 -- A new beginning : Sunshine PHP/PHP UK (updated)
MySQL 8 -- A new beginning : Sunshine PHP/PHP UK (updated)MySQL 8 -- A new beginning : Sunshine PHP/PHP UK (updated)
MySQL 8 -- A new beginning : Sunshine PHP/PHP UK (updated)
 
Cassandra20141113
Cassandra20141113Cassandra20141113
Cassandra20141113
 
JovianDATA MDX Engine Comad oct 22 2011
JovianDATA MDX Engine Comad oct 22 2011JovianDATA MDX Engine Comad oct 22 2011
JovianDATA MDX Engine Comad oct 22 2011
 

Recently uploaded

Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Celine George
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfchloefrazer622
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingTechSoup
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...christianmathematics
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformChameera Dedduwage
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfAdmir Softic
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphThiyagu K
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpinRaunakKeshri1
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhikauryashika82
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...fonyou31
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...EduSkills OECD
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...PsychoTech Services
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 

Recently uploaded (20)

Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdf
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot Graph
 
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpin
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 

Oracle Training in Velachery Chennai

  • 1. Greens Technology Velachery, 28 Nagendra Nagar, Anna garden, velachery, Chennai – 42 Website : www.greenstechnologies.in | C : 9790835826 Oracle SQL Course Abstract (Includes ANSI SQL / ISO SQL) 1. Basic DATABASE Concept and SQL  Basic history ofdatabase concept:DBMS,RDBMS, ORDBMS  Advantage ofORACLE databaseand versioninformation  Interface tools usage:sqlplus,isqlplus,sqldeveloper,Toad  SQL Language overview:DQL, DML, DDL, DCL, TCL  What is the usage ofANSIstandard.  SELECT Command - Column Alias Rules,String data,  Concatenationswith variousdata  Null Value handling with numberand characters,  Arithmetic Operator  ConcatenationOperator,  Eliminating Duplicate Rows 2. Restricting and Sorting Data  WHERE Clause - CharacterStrings and Dates,number  General Comparison Conditions=> >= < <= <>  OtherComparison BETWEEN , IN , LIKE , NULL  Logical Conditions ANDORNOT  ORDER BY Clause,Sorting by Column Alias , Column Position,Multiple Columns 3. Single-Row Functions  CharacterFunctions:UPPER, LOWER, INITCAP, LENGTH, SUBSTR, INSTR, LPAD, RPAD, CONCAT, LTRIM, RTRIM, TRIM, REPLACE, TRANSLATE, REVERSE  Number Functions:ROUND, TRUNC, MOD, POWER, CEIL , FLOOR, ABS  Dates Functions:SYSDATE, MONTHS_BETWEEN, NEXT_DAY, LAST_DAY, ADD_MONTHS,ROUND, TRUNC, Arithmetic on Date  Conversion Functions:Implicit Data-Type Conversion &Explicit Data-Type Conversion,TO_CHAR ,TO_NUMBER ,TO_DATE  General Functions:NVL , NVL2 , NULLIF, COALESCE  CASE Expression,DECODE  Nested function with real-time usage 4. JOINS  EQUI JOIN / SIMPLE JOIN / NORMAL JOIN  ANSI JOIN, LEFT OUTER, RIGHT OUTER, FULL OUTER  NATURAL JOIN, NATURALOUTER JOINS  INNER JOIN, JOIN ... USING clause,JOIN... ON clause,  CROSS JOIN, NON-EQUI JOIN, SELF JOIN  ORACLE STANDARDOUTER JOINS.  Multitable Joins,Complex Joins – How to simplified complex joins.
  • 2. Greens Technology Velachery, 28 Nagendra Nagar, Anna garden, velachery, Chennai – 42 Website : www.greenstechnologies.in | C : 9790835826 5. Multi-row Functions  Group FunctionsRules,SUM,MIN,MAX,COUNT, AVG  Creating Groups ofData: GROUP BY Clause  Filtering Group Results:The HAVING Clause 6. Sub-queries  Single-Row Subqueries-Rules,Operators := > >= < <= <>  Null Values in a Subquery  Multi-RowSubqueries-Rules,Operators :IN, ANY , ALL 7. Reporting data using interface commands  pagesize,linesize , column heading ,column format , colsep  tTitle , bTitle , breakon column,spool,CSV file generation,Text file generation 8. Data Manipulation Language DML and Transaction Control Language TCL  DML : INSERT, UPDATE, DELETE, MERGE  TCL : COMMIT,ROLLBACK, SAVEPOINT 9. Data Definition Language - DDL  DDL : CREATE, ALTER, RENAME, DROP, TRUNCATE  DEFAULT OPTION.  Constrain table copy 10. Constraints  NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY, CHECK  Column Level Constraint,Table LevelConstraint – Naming constraints andusage  Adding a Constraint,Dropping a Constraint,  Disabling Constraints,Enabling Constraints  Validating Constraints 11. Views  Simple Views and Complex Views – Create,Drop, Source Code  Rules for Performing DML Operations on a View  WITHCHECK OPTION , WITH READ ONLY  Inline Views  Materialized View – Create, Refresh,Drop - Usage 12. Other Database Objects  Sequence-NEXTVAL and CURRVAL  Index- When to Create an Index,When Not to Create an Index.  Synonyms
  • 3. Greens Technology Velachery, 28 Nagendra Nagar, Anna garden, velachery, Chennai – 42 Website : www.greenstechnologies.in | C : 9790835826 13. DCL COMMANDS  Creating Users  Granting / Revoking Privileges  Creating and Granting Privileges to a Role 14. Dictionary Tables  Tables,Views, Synonyms,Index, Sequence,Constrains,Source andotherDictionary 15. SET Operators  UNION ,  UNION ALL ,  INTERSECT ,  MINUS 16. Advanced Date-time Functions  TIME ZONES ,  SYSDATE, SYSTIMESTAMP,  CURRENT_DATE , CURRENT_TIMESTAMP  SESSIONTIMEZONE ,  Storing time zone data in Table  EXTRACT ,  TO_YMINTERVAL 17. Advanced GROUP BY Clause  Group by with ROLLUP,  Group by with CUBE,  GROUPING SETS 18. Advanced Subqueries  Pairwise Comparison Subquery ,  Nonpairwise Comparison Subquery  Correlated Subqueries,  Correlated UPDATE,  Correlated DELETE  EXISTS , NOT EXISTS Operator 19. Hierarchical Retrieval  Walking the Tree:From the BottomUp , Fromthe Top Down  LEVEL Pseudo column,  Connect by prior, 20. Multi-table Insert
  • 4. Greens Technology Velachery, 28 Nagendra Nagar, Anna garden, velachery, Chennai – 42 Website : www.greenstechnologies.in | C : 9790835826  UnconditionalINSERT ALL  ConditionalINSERT ALL  ConditionalFIRST INSERT 21. DATA LOADER –  SQLLDR – Loading CSV file / Flat file into ORACLE table. 22. Analytic Functions  WM_CONCAT,LAG, LEAD, RANK, DENSE_RANK  Query_by partition_clause with sum,min, max, avg,count,  order_by_clause with sum,min, max, avg,count,  Psudo column :Rownum, Rowid, - Elimination duplicate data  Connect by rownum,Connect by Level – Generating randomnumbers,randomdates,  Quote Operatorsyntaxand usage 23. Backup  Export / Import SCHEMA 24. General discussion  What is migration?  Migration Estimating,Planning,Preparation – Simple Scenario / Complex Scenario.