Query optimization techniques in SQL
Query optimization techniques in SQL, available at Free, has an average rating of 4.14, with 10 lectures, based on 204 reviews, and has 11953 subscribers.
You will learn about To learn how to read and use the query plan in SQL. To study different join algorithms and best conditions of it application. To master the optimal usage of indexing depending on the task To master superior features and functionality of SQL by using partitioning, hints, caching, e.t.c This course is ideal for individuals who are Developers/analysts who are working with databases and want to do it more efficiently. It is particularly useful for Developers/analysts who are working with databases and want to do it more efficiently.
Enroll now: Query optimization techniques in SQL
Summary
Title: Query optimization techniques in SQL
Price: Free
Average Rating: 4.14
Number of Lectures: 10
Number of Published Lectures: 10
Number of Curriculum Items: 10
Number of Published Curriculum Objects: 10
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- To learn how to read and use the query plan in SQL.
- To study different join algorithms and best conditions of it application.
- To master the optimal usage of indexing depending on the task
- To master superior features and functionality of SQL by using partitioning, hints, caching, e.t.c
Who Should Attend
- Developers/analysts who are working with databases and want to do it more efficiently.
Target Audiences
- Developers/analysts who are working with databases and want to do it more efficiently.
This course is designed for people who want to master SQL at the middle and senior levels. We will discuss the Oracle database as an example, but all the working and research methods can be applied to other relational databases.
In our course, we will talk about such an important aspect as query optimization and will deeper analyze the theoretical questions that may be useful not only for successful work, but also for the interviews. The focus will be on the technical implementation of the acquired knowledge, paying the most attention to the “under the hood” operation.
What you should already be able to do
– write basic SQL queries
⁃ use aggregate functions
⁃ use analytical functions
⁃ write your own functions (in PLSQL or, speaking of Oracle, using the with construction: a new feature introduced by Oracle, and according to the presentation, it should work 4 times faster than PLSQL variant).
In this course we will go through:
– query plan and how to read it
– join algorithms
– hints and statistics
– indexing
– caching
– partitioning
– use of temporary, intermediate tables and materialized views
Mastering the topics mentioned above will drastically improve an overall perfomance of your SQL queries and will allow you to properly time manage your applications with the most efficient use of available resources.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Query Plan
Lecture 3: How to read the query plan
Chapter 2: Main part
Lecture 1: Join algorithms
Lecture 2: Indexes
Lecture 3: Hints
Lecture 4: Statistics
Lecture 5: Partitioning
Lecture 6: Caching
Lecture 7: Temporary, staging tables, and materialized views
Instructors
-
Nikita Vasilev
Data Engineer Innotech -
Arsen Petrenko
Data engineer -
Veronika Vasileva
Data Engineer
Rating Distribution
- 1 stars: 11 votes
- 2 stars: 13 votes
- 3 stars: 51 votes
- 4 stars: 55 votes
- 5 stars: 74 votes
Frequently Asked Questions
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