Oracle Database 12c SQL Tuning Developers Course Overview

This comprehensive course intents to help participants in interpreting the execution plans and the ways to access the data by exploring the SQL statement tuning in Oracle. Various advanced topics including Execution plan internals, join methods, tuning them further based on the data volume would be the feature course highlights. Using different paths to optimize efficiently would be the additional focus area during the course.

 

  • 1. Do you have limited Window for training?
  • 2. Can you only spend 4-hours per day?
  • 3. Do you want to start training immediately?
  • If your answer is yes to any one of the above, you need 1-on-1- Training
The 1-on-1 Advantage
Methodology
Flexible Dates
4-Hour Sessions
  • View video
  • The course will be free if we are not able to start within 7 days of booking.
  • Only applicable for courses on which this logo appears.
Live Online Training (Duration : 24 Hours)
Group Training 1100 Per Participant
30 May - 01 Jun 09:00 AM - 05:00 PM CST
(8 Hours/Day)
06 - 08 Jun 09:00 AM - 05:00 PM CST
(8 Hours/Day)
04 - 06 Jul 09:00 AM - 05:00 PM CST
(8 Hours/Day)
1-on-1 Training 2200 1300 + If you accept merging of other students.
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request
Classroom Training is available. Enquire for the fee Click
Ultra-Fast Track

If you can't spare 24 hours. We can offer you an Ultra-Fast Track for 12 hours for only USD 1,040

Course Prerequisites
  • Good knowledge of Oracle Database

Upon Completion of this Course, you will accomplish following:-

  • Identify the execution plans and understand various data access techniques
  • Knowledge to decipher and decide before tuning the SQL code
  • Apply different techniques of tuning
  • Work with trace files, bind variables and various index types
  • Understand various access techniques for efficient optimization

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