Query optimization techniques in SQL
Requirements
- Basic SQL knowledge including the ability to write basic SQL queries, to use aggregate and analytical functions and to write your own functions.
Description
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.
Who this course is for:
- Developers/analysts who are working with databases and want to do it more efficiently.
Instructors
![Nikita Vasilev](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.3 Instructor Rating
- 52 Reviews
- 5,587 Students
- 1 Course
Senior Data Engineer, 5+ YOE in insurance & retail banking with expertise in highload scalable applications and data processing.
Teacher, tech writer, hackathon judge/mentor.
technical skills
Languages : Python, SQL, PL/SQL, Scala
Technologies : Spark, Hadoop, Airflow, Oracle Apex, Cron
Databases : Oracle, Teradata, Hive, Impala, Greenplum, Postgres
Tools: Git, Jira, Bitbucket, Confluence, Teamcity, Nexus, Maven
Familiar with: Data Science, Html, Css, JS
- 4.3 Instructor Rating
- 52 Reviews
- 5,587 Students
- 1 Course
5 years of experience in condensed matter physics as a beam scientist, over 20 scientific publications. Data Engineer/Analysis with 3 years of experience in building efficient, scalable, and resilient distributed data pipelines for collecting, cleaning, and aggregating large volumes of data.
School teacher, scientific competition judge.
My main technical skills
Languages : Python, С++, Scala, SQL, PL/SQL, VBA
Technologies : Spark, Hadoop, Airflow, Linux/Unix/Windows cli, Fast load, Fast export
Databases : Oracle, Hive, MS sql, MySql, Impala
Tools: Git, Jira, Bitbucket, Confluence
Familiar with: Data Science
- 4.3 Instructor Rating
- 52 Reviews
- 5,587 Students
- 1 Course
Data Engineer/Analysis with 5+ years of experience in building efficient, scalable, and resilient distributed data pipelines for collecting, cleaning, and aggregating large volumes of data.
University teacher, technical writer, and hackathon judge, mentor.
My main technical skills
Languages : Python, SQL, PL/SQL, VBA
Technologies : pySpark, Hadoop, Text Mining, Oracle apex, Airflow, Cron, Linux/Unix/Windows cli, Fast load, Fast export, xml, VS Business intelligence
Databases : Oracle, Greenplum, Hive, Teradata, MS sql, MySql, Impala
Tools: Git, Jira, Bitbucket, confluence
Familiar with: Data Science, Html, Css, JS