Oracle Training In Chennai

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Rated as No 1 Oracle training institute in Chennai for certification and Assured Placements. Our Job Oriented Oracle training in chennai courses are taught by experienced certified professionals with extensive real-world experience. All our Best Oracle training in Chennai focuses on practical than theory model.

ORACLE TRAINING COURSES

ORACLE Expert Training:  Learn Oracle from the same team involved in Oracle product development.

We are the Leading Oracle real time training institute in Chennai. We offer best oracle training with real-time project scenarios. We can guarantee classes that makes you as a Oracle Certified Professional.

ORACLE CERTIFICATION TRAINING IN CHENNAI

Best OCA / OCP Training in Chennai with in-depth Oracle Exam preparation towards Oracle 10g, Oracle 11g, Oracle 12c Certification.

ORACLE DEVELOPER CERTIFICATION TRAINING

1Z0-061 Oracle Database 12c: SQL Fundamentals
1Z0-047 Oracle Database SQL Expert
1Z0-117 Oracle Database 11g Release 2: SQL Tuning
1Z0-051 Oracle Database 11g: SQL Fundamentals I
1Z0-147 Program with PL/SQL
1Z0-144 Oracle Database 11g: Program with PL/SQL

ORACLE DATABASE ADMINISTRATORS CERTIFICATION TRAINING
  • 1Z0-062 Oracle Database 12c: Installation and Administration
  • 1Z0-063 Oracle Database 12c: Advanced Administration
  • 1Z0-051 Oracle Database 11g: SQL Fundamentals I
  • 1Z0-052 Oracle Database 11g: Administration I
  • 1Z0-053 Oracle Database 11g: Administration II
ORACLE DATABASE 10G: REAL APPLICATION CLUSTERS (RAC) ADMINISTRATOR CERTIFIED EXPERT TRAINING

1Z0-048 Oracle Database 10g R2: Real Application Clusters for Administrators

ORACLE SQL TRAINING COURSE CONTENT

INTRODUCTION

  • Describe the features of Oracle Database 12c
  • Describe the salient features of Oracle Cloud 12c
  • Explain the theoretical and physical aspects of a relational database
  • Describe Oracle servers implementation of RDBMS and object relational database management system (ORDBMS)

1. BASIC DATABASE CONCEPT AND SQL

  • Basic history of database concept: DBMS, RDBMS, ORDBMS
  • Advantage of ORACLE database and version information
  • Interface tools usage: sqlplus, isqlplus, sqldeveloper, Toad
  • SQL Language overview : DQL, DML, DDL, DCL, TCL
  • What is the usage of ANSI standard.
  • SELECT Command – Column Alias Rules, String data,
  • Concatenations with various data
  • Null Value handling with number and characters,
  • Arithmetic Operator
  • Concatenation Operator,
  • Eliminating Duplicate Rows

2. RESTRICTING AND SORTING DATA

  • WHERE Clause – Character Strings and Dates, number
  • General Comparison Conditions = > >= < <= <>
  • Other Comparison BETWEEN , IN , LIKE , NULL
  • Logical Conditions AND OR NOT
  • ORDER BY Clause, Sorting by Column Alias , Column Position, Multiple Columns

3. SINGLE-ROW FUNCTIONS

  • Character Functions: 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, NATURAL OUTER JOINS
  • INNER JOIN, JOIN … USING clause, JOIN … ON clause,
  • CROSS JOIN, NON-EQUI JOIN, SELF JOIN
  • ORACLE STANDARD OUTER JOINS.
  • Multi table Joins, Complex Joins How to simplified complex joins.

5. MULTI-ROW FUNCTIONS

  • Group Functions Rules, SUM, MIN, MAX, COUNT, AVG
  • Creating Groups of Data: GROUP BY Clause
  • Filtering Group Results: The HAVING Clause

6. SUB-QUERIES

  • Single-Row Subqueries- Rules, Operators : = > >= < <= <>
  • Null Values in a Subquery
  • Multi-Row Subqueries- Rules, Operators : IN, ANY , ALL

7. REPORTING DATA USING INTERFACE COMMANDS

  • pagesize, linesize , column heading , column format , colsep
  • tTitle , bTitle , break on 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 Level Constraint Naming constraints and usage
  • 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
  • WITH CHECK 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

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 and other Dictionary

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 Bottom Up , From the Top Down
  • LEVEL Pseudo column,
  • Connect by prior,

20. MULTI-TABLE INSERT

  • Unconditional INSERT ALL
  • Conditional INSERT ALL
  • Conditional FIRST 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 random numbers, random dates,
  • Quote Operator syntax and usage

23. BACKUP

  • Export / Import SCHEMA

24. GENERAL DISCUSSION

  • What is migration?
  • Migration Estimating, Planning, Preparation Simple Scenario / Complex Scenario.

SQL AND PL/SQL CERTIFICATION

Become an Oracle Database SQL Certified Associate and demonstrate understanding of fundamental SQL concepts needed to undertake any database project.
Complete Oracle Database SQL 1Z0-071 and Oracle Database 11g: Program with PL/SQL 1Z0-144 to earn the Oracle Database SQL Certified Associate Certification and Oracle PL/SQL Developer Certified Associate Certification.

ORACLE SQL STATEMENT TUNING TRAINING COURSE CONTENT

EXPLORING THE ORACLE DATABASE ARCHITECTURE

  • Describe the major architectural components of Oracle Database server
  • Explain memory structures
  • Describe background processes
  • Correlate logical and physical storage structures

INTRODUCTION TO SQL TUNING

  • Describe what attributes of a SQL statement can make it perform poorly
  • Describe the Oracle tools that can be used to tune SQL
  • Explain the tuning tasks

INTRODUCTION TO THE OPTIMIZER

  • Describe the execution steps of a SQL statement
  • Explain the need for an optimizer
  • Explain the various phases of optimization
  • Control the behavior of the optimizer

INTERPRETING EXECUTION PLANS

  • Gather execution plans
  • Display execution plans, display xplan
  • Interpret execution plans

APPLICATION TRACING

  • Configure the SQL Trace facility to collect session statistics
  • Use the trcsess utility to consolidate SQL trace files
  • Format trace files using the tkprof utility
  • Interpret the output of the tkprof command

OPTIMIZER OPERATIONS

  • Describe the SQL operations for tables and indexes
  • Describe the possible access paths for tables and indexes

OPTIMIZER: JOIN OPERATIONS

  • Describe the SQL operations for joins
  • Describe the possible access paths for joins

OTHER OPTIMIZER OPERATIONS

  • Describe Clusters, In-List, Sorts, Filters and Set Operations
  • Use Result Cache operations

CASE STUDY: STAR TRANSFORMATION

  • Define a star schema, a star query plan without transformation and a star query plan after transformation

OPTIMIZER STATISTICS

  • Gather optimizer statistics
  • Gather system statistics
  • Set statistic preferences
  • Use dynamic sampling
  • Manipulate optimizer statistics

USING BIND VARIABLES

  • Explain the benefits of using bind variables
  • Use bind peeking
  • Use adaptive cursor sharing

SQL TUNING ADVISOR

  • Describe statement profiling
  • Use SQL Tuning Advisor

USING SQL ACCESS ADVISOR

  • Use SQL Access Advisor

AUTOMATING SQL TUNING

  • Use Automatic SQL Tuning

SQL PLAN MANAGEMENT

  • Manage SQL performance through changes
  • Set up SQL Plan Management
  • Set up various SQL Plan Management scenarios

USING OPTIMIZER HINTS

  • Use hints when appropriate
  • Specify hints for Optimizer mode, Query transformation, Access path, Join orders, Join methods and Views

PARALLEL QUERIES

PARALLEL PROCESSING CONCEPTS

  • Explain what parallel processing is and why is it useful

BASICS OF PARALLEL EXECUTION

  • Describe operations that can be parallelized
  • Explain parallel execution theory
  • Understand impact of initiali zation parameter on parallel execution

MANUAL DOP MANAGEMENT

  • Understand an explain plan of a parallel query
  • Understand an explain plan of parallel DML and DDL

SIMPLIFIED AUTO DOP

  • Understand the new parameters of Auto DOP
  • Explain when to use Auto DOP
  • Use Auto DOP

STATEMENT QUEUING

  • Explain statement queuing, concurrency and DBRM

IN-MEMORY PARALLEL EXECUTION

  • Use in-memory parallel execution

DATA WAREHOUSE ADMINISTRATION

PARTITIONING CONCEPTS

  • Explain the available partitioning strategies
  • Explain partition pruning
  • Implement partition enhancements in star query optimization

MATERIALIZED VIEWS

  • Use summaries to improve performance
  • Differentiate materialized view types
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