MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 7 Hours | Lec: 66 | 601 MB
Genre: eLearning | Language: English
Learn Practical Hands-on Advanced PostgreSQL Queries and Data Analysis
PostgreSQL is commonly known as Postgres and it is also open source database. There is an increasing need for data scientists and analysts to understand relational data stores. Organizations have long used SQL databases to store transactional data as well as business intelligence related data. If you need to work with SQL databases, this course is designed to help you learn how to perform common relational database and data science tasks, including writing advanced queries,data analysis , finding, exploration, and extraction within relational databases.
What you will learn includes:
Introduction PostgreSQL Triggers
Creating Triggers
Managing Triggers
Introduction to Views
How to create views
Modifying and Removing Views
Introduction to Updatable Views
Creating Updatable Views
Introduction to Materialized Views
Creating Materialized Views
Introduction to Stored Procedures
Introduction to Aggregate Functions
Illustrating various types of Aggregate functions
Introduction to Analytic Functions
Illustrating various Analytic functions
Row Number Functions
Using various types of Operators
Introduction to Table Joins
Using various types of joins
Windowing functions for working with ordered data sets
Installing PostgreSQL
Verify postgresql installation
Postgresql INNER JOIN
Postgres LIKE Operator
Postgresql OR Operator
Server service
Sequences
Schema
Retrieving all Data from Table
Loading sample database
Postgresql UNION Operator
PostgreSQL UNION ALL Operator
PostgreSQL FULL OUTER JOIN
PostgreSQL CROSS JOIN
PostgreSQL combining AND | OR Operator
PostgreSQL AND Operator
PostgreSQL NATURAL JOIN Operator
PostgreSQL EXCEPT Operator
PostgreSQL INTERSECT Operator
PostgreSQL Left Join
PostgreSQL IN Operator
Cast and Operators
The course will teach you how to aggregate data,analyse data ,retrieve data from multiple tables using table joins and write more advanced queries.
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