Oracle Performance Tuning Training

Awarded as the Best Oracle Performance Tuning training center in Chennai - We Guarantee Your Oracle SQL Query Tuning Training Success in Chennai

Oracle Performance Tuning Training In Chennai

Rated as No 1 Oracle training institute in Chennai for Oracle High-performance SQL Tuning. Our Job Oriented Oracle SQL statement tuning training in chennai courses are taught by experienced certified professionals with extensive real-world experience. All our Best Oracle tuning training course in Chennai focuses on practical than theory model.

This Oracle Database 11g Performance Tuning training starts with an unknown database that requires tuning. You'll then learn the steps a DBA and PLSQL Developers performs to identify problem areas, diagnose common problems and fix them.

This course is designed for the working Oracle professional and the amount of previous experience with Oracle is incidental.

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

Greens Technology Oracle Trainers:

Worked earlier in Oracle Corporation, IBM, Google, Verizon, CSC, Tech Mahindra, Infosys etc.

Oracle Performance Tuning Training Course Description

This Oracle tuning training course shows real-world techniques that can cut overall response time by more than 50%. You will learn the secrets of Oracle tuning from one of the foremost experts in the industry.
Dinesh Jaganathan remains one of the India’s leading Oracle authors, with 12 books and more than 100 database tuning articles in many magazines, including Oracle Magazine.
This intensive Oracle tuning training course is designed to provide an in-depth overview of Oracle internal structures and show how to tune Oracle’s internal structures for maximum high performance.

Oracle Performance Tuning Training Course Objectives

• Identify the SQL statements that perform poorly
• Trace an application through its different levels of the application architecture
• Understand how the Query Optimizer makes decisions about how to access data
• Define how optimizer statistics affect the performance of SQL
• List the possible methods of accessing data, including different join methods
• Modify a SQL statement to perform at its best
• Choose an appropriate SQL tuning approach
• Use tuning techniques to tune inefficient SQL statements
• Interpret Execution Plans
• Describe the Oracle optimizer fundamentals

SQL Statement Tuning Training Course Content

This Oracle SQL Tuning for Developers training in Chennai will help you explore Oracle SQL statement tuning. Learn how to write well-tuned SQL statements appropriate for the Oracle database.

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