Mon-Fri 9am to 6pm CST
Oracle Database 11g: SQL Tuning Workshop (OR-DTW)
Virtual
Learning Style
Oracle
Provider
Beginner
Difficulty
3 Days
Course Duration
Course Info
Certificate
{{startDate}}
9:00 AM - 5:00 PM CST
Duration - 0 Days -
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
Career & Salary Insight
Outline
More Information
| Brand | Oracle |
|---|---|
| Subjects | Data Platform |
| Lab Access | No |
| Technology | Oracle |
| Learning Style | Virtual Classroom |
| Learning Type | Course |
| Difficulty | Beginner |
| Course Duration | 3 Days |
| Language | English |
Acclaim Badge
Financing
Monthly Payments With Affirm
QuickStart and Affirm have teamed up to offer you financing, allowing you to pay off your purchase over time, on your own terms. Simply select Affirm in checkout, and you will need to take a few moments to fill out some information for a real-time decision. Checking your eligibility and terms won't affect your credit score. Once you are qualified, you will have the option to choose from 3, 6, 12, 18 or 26-month financing terms*, with each term clearly showing your monthly payment. No hidden fees or costs! it's that simple!
Rates are between 0-30% APR. As an example, a $700 purchase might cost $63.24/mo for 12 months at 15% APR. A down payment may be required. Subject to eligibility check and approval. Payment options depend on your purchase amount. Estimated payment excluded taxes and shipping fees. Paid interest is nonrefundable. Actual terms may vary. Payment options through Affirm are provided by these lending partners: affirm.com/lenders. Visit affirm.com/help for more info.
Reviews
Write Your Own Review
Related Courses
Course Expert:
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.
Chat