Data Analysis with Oracle Analytic Functions

Author: sddd on 20-09-2017, 19:32
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Data Analysis with Oracle Analytic Functions
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | Lec: 26 | 360 MB
Genre: eLearning | Language: English

Learn data analysis by using Oracle Analytic functions to manipulate data
There is a demand for people who can use data to perform analysis thus helping businesses and organizations make important and critical decisions.
SQL stands for Structure Query Language. It is an internationally standard language used to communicate with various databases for data manipulation. SQL is vital for data analysis .
In this beginners course we will be using analytic functions to perform data analysis from an Oracle database .
Analytic functions compute an aggregate value based on a group of rows. They differ from aggregate functions in that they return multiple rows for each group. The group of rows is called a window and is defined by the analytic clause. For each row, a sliding window of rows is defined. The window determines the range of rows used to perform the calculations for the current row. Window sizes can be based on either a physical number of rows or a logical interval such as time.
Analytic functions are commonly used to compute cumulative, moving, centred, and reporting aggregates.
In this course we learn the syntax used to write analytic functions which includes the use of Partition By and
Order By.
The analytic functions we will use for our data analysis include:
Dense Rank Function
Rank Function
First and Last Function
LAG Function
LEAD Function
LISTAGG Functions
ROW Number Functions
Windowing Clause
Using analytic functions for data analysis can help provide answers to business solutions :
Who are the top ten sales-reps in each region?
How many employees in an organization
How many employees earn less than 45K in an organization
How many new employees joined the company in the past 18 months
What goods are flying off the supermarket shelves and so on..

Data Analysis with Oracle Analytic Functions

Download link :
(If you need these, buy and download immediately before they are delete)

Links are Interchangeable - Single Extraction - Premium is support resumable
Data Analysis with Oracle Analytic Functions
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | Lec: 26 | 360 MB
Genre: eLearning | Language: English

Learn data analysis by using Oracle Analytic functions to manipulate data
There is a demand for people who can use data to perform analysis thus helping businesses and organizations make important and critical decisions.
SQL stands for Structure Query Language. It is an internationally standard language used to communicate with various databases for data manipulation. SQL is vital for data analysis .
In this beginners course we will be using analytic functions to perform data analysis from an Oracle database .
Analytic functions compute an aggregate value based on a group of rows. They differ from aggregate functions in that they return multiple rows for each group. The group of rows is called a window and is defined by the analytic clause. For each row, a sliding window of rows is defined. The window determines the range of rows used to perform the calculations for the current row. Window sizes can be based on either a physical number of rows or a logical interval such as time.
Analytic functions are commonly used to compute cumulative, moving, centred, and reporting aggregates.
In this course we learn the syntax used to write analytic functions which includes the use of Partition By and
Order By.
The analytic functions we will use for our data analysis include:
Dense Rank Function
Rank Function
First and Last Function
LAG Function
LEAD Function
LISTAGG Functions
ROW Number Functions
Windowing Clause
Using analytic functions for data analysis can help provide answers to business solutions :
Who are the top ten sales-reps in each region?
How many employees in an organization
How many employees earn less than 45K in an organization
How many new employees joined the company in the past 18 months
What goods are flying off the supermarket shelves and so on..

Data Analysis with Oracle Analytic Functions

Download link :
(If you need these, buy and download immediately before they are delete)
Links are Interchangeable - Single Extraction - Premium is support resumable
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