Product Image

Oracle Database 11g: SQL Tuning Workshop (OR-DTW)

This Oracle Database 11g: (SQL Tuning Workshop R2) course helps SQL developers, DBAs and database developers in tuning and identifying ineffective SQL statements.

Virtual

Learning Style

Oracle

Provider

Beginner

Difficulty

3 Days

Course Duration

Course Info

Download PDF

Certificate

See Sample

Timezone
tab
About Individual Course:
  • Individual course plan gives you access to this course
$2,040.00
/ Seat

You have already taken demo for this course.

If you want to get access to demo again, feel free to contact our support at (855) 800-8240
This Oracle Database 11g: (SQL Tuning Workshop R2) course helps SQL developers, DBAs and database developers in tuning and identifying ineffective SQL statements.

Course Information

About this course:

This Oracle Database 11g: (SQL Tuning Workshop R2) course helps SQL developers, DBAs and database developers in tuning and identifying ineffective SQL statements. You will explore investigative techniques to disclose different levels of insight concerning how the Oracle database performs the SQL statements; this assists you to identify the main reason for the ineffective SQL statements.

Learn To:

 

  • How to use real-time SQL monitoring.
  • Trace and control high load SQL statements.
  • How to utilize Oracle tools to find ineffective SQL statements.
  • Handle optimizer statistics on database objects.
  • How to utilize Automatic SQL Tuning.
  • Explain implementation plans, and the various ways in which data could be accessed.
  • Draft the most effective SQL statements.

Benefits to You:

This course helps you to enhanced skills in relational database management as you study the method to efficiently utilize SQL commands in your business data. These functions will assist you to manipulate and query data into the database. Additionally, you will learn how to use dictionary views to recover metadata and make reports regarding their schema objects.

Study the Optimizer:

Professional trainers will also support you to learn how the optimizer selects the path. You will also study how to control the optimizer to assure the best approach is used.

Automatic SQL Tuning Tools:

This training course also incorporates the Automatic SQL Tuning resources and tools accessible in the Automatic Workload Repository. Moreover, they benefit from trace files, bind variables, and various sorts of indexes.

Note: This training course in accordance with Oracle Database 11g R 2.

Salary Estimate:

The Oracle Developer can make an average salary of $106,225 per annum.

Course Objective:

  • Describe how optimizer statistics impact the efficiency of SQL
  • Track an application with its various levels of the application architecture
  • Recognize inefficient performing SQL
  • Know how the Query Optimizer produce decisions of how to access data
  • Alter a SQL statement accomplish at its best
  • Listing possible techniques of access to data, incorporating various join methods

Audience:

  • Database Administrators
  • Support Engineer
  • Application Developers
  • Data Warehouse Administrator
  • Data Warehouse Developer
  • SQL/PL Developer
  • rehouse Administrator

Prerequisite:

  • There is no prerequisite needed for this course

Outline

More Information

More Information
Brand Oracle
Subjects IT Ops & Management
Lab Access No
Technology Oracle
Learning Style Virtual Classroom
Learning Type Course
Difficulty Beginner
Course Duration 3 Days
Language English

Reviews

Write Your Own Review
Only registered users can write reviews. Please Sign in or create an account

Course Expert:

Author

Tom Robertson
(Data Science Enthusiast)

Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.

Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.

click here