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Data Warehouse & Data Mining e on Windows Pc

Developed By: D-Salhra

License: Free

Rating: 5,0/5 - 1 votes

Last Updated: April 19, 2024

Compatible with Windows 10/11 PC & Laptop

App Details

Version	4.0
Size	44.9 MB
Release Date	September 11, 20
Category	Education Apps
App Permissions: Allows applications to open network sockets. [see more (6)]
Description from Developer: In this application you find courses + exercises + correction in details on Data Waherouse and Data Mining What is "Data Warehouse" first? : It is a type of database th... [read more]

App preview ([see all 3 screenshots])

About this app

On this page you can download Data Warehouse & Data Mining e and install on Windows PC. Data Warehouse & Data Mining e is free Education app, developed by D-Salhra. Latest version of Data Warehouse & Data Mining e is 4.0, was released on 2020-09-11 (updated on 2024-04-19). Estimated number of the downloads is more than 100. Overall rating of Data Warehouse & Data Mining e is 5,0. Generally most of the top apps on Android Store have rating of 4+. This app had been rated by 1 users, 1 users had rated it 5*, 1 users had rated it 1*.

How to install Data Warehouse & Data Mining e on Windows?

Instruction on how to install Data Warehouse & Data Mining e on Windows 10 Windows 11 PC & Laptop

In this post, I am going to show you how to install Data Warehouse & Data Mining e on Windows PC by using Android App Player such as BlueStacks, LDPlayer, Nox, KOPlayer, ...

Before you start, you will need to download the APK/XAPK installer file, you can find download button on top of this page. Save it to easy-to-find location.

[Note] You can also download older versions of this app on bottom of this page.

Below you will find a detailed step-by-step guide, but I want to give you a fast overview of how it works. All you need is an emulator that will emulate an Android device on your Windows PC and then you can install applications and use it - you see you're playing it on Android, but this runs not on a smartphone or tablet, it runs on a PC.

If this doesn't work on your PC, or you cannot install, comment here and we will help you!

Install using BlueStacks
Install using NoxPlayer

Step By Step Guide To Install Data Warehouse & Data Mining e using BlueStacks

Download and Install BlueStacks at: https://www.bluestacks.com. The installation procedure is quite simple. After successful installation, open the Bluestacks emulator. It may take some time to load the Bluestacks app initially. Once it is opened, you should be able to see the Home screen of Bluestacks.
Open the APK/XAPK file: Double-click the APK/XAPK file to launch BlueStacks and install the application. If your APK/XAPK file doesn't automatically open BlueStacks, right-click on it and select Open with... Browse to the BlueStacks. You can also drag-and-drop the APK/XAPK file onto the BlueStacks home screen
Once installed, click "Data Warehouse & Data Mining e" icon on the home screen to start using, it'll work like a charm :D

[Note 1] For better performance and compatibility, choose BlueStacks 5 Nougat 64-bit read more

[Note 2] about Bluetooth: At the moment, support for Bluetooth is not available on BlueStacks. Hence, apps that require control of Bluetooth may not work on BlueStacks.

How to install Data Warehouse & Data Mining e on Windows PC using NoxPlayer

Download & Install NoxPlayer at: https://www.bignox.com. The installation is easy to carry out.
Drag the APK/XAPK file to the NoxPlayer interface and drop it to install
The installation process will take place quickly. After successful installation, you can find "Data Warehouse & Data Mining e" on the home screen of NoxPlayer, just click to open it.

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Download older versions

Other versions available: 4.0.

Download Data Warehouse & Data Mining e 4.0 on Windows PC – 44.9 MB

In this application you find courses + exercises + correction in details on Data Waherouse and Data Mining

What is "Data Warehouse" first? :

It is a type of database that contains a huge amount of data to help make decisions within the organization. This type of database is characterized by the conformity of its internal structure with what the user needs from the indicators and axes of analysis in what is called the star-star model, and its applications: systems decision support and data mining.

Data warehouses usually contain historical data that has been derived and extracted from data in the usual databases used in applications on which many input and update operations take place, and data warehouses can also contain data from other sources such as text files and other documents.

what is "Data Mining"? :

It is a computerized and manual search for knowledge of the data without preliminary hypotheses on what this knowledge can be. Data mining is also defined as the process of analyzing a quantity of data (usually a large amount), to find a logical relationship that summarizes the data in a new way that is understandable and useful to the data owner . “Models” are called relationships and summary data obtained from data mining. Data mining generally deals with data that has been obtained for a purpose other than that of data mining (for example, a database of transactions in a bank), which means that the mining method of data does not affect the way the data itself is collected. This is one of the areas in which data mining differs from statistics, and for this reason the data mining process is called a secondary statistical process. The definition also indicates that the amount of data is generally large, but if the amount of data is small, it is best to use regular statistical methods to analyze it.

When dealing with a large volume of data, new problems arise such as how to identify distinct points in the data, how to analyze the data in a reasonable time and how to decide if an apparent relationship reflects a fact in the nature of the data. . Usually, data is extracted that is part of the data set, where the goal is usually to generalize the results to all of the data (for example, analyzing the current data of consumers of a product in order to anticipate future demands consumers). One of the goals of data mining is also to reduce or compress large amounts of data to express simple data without generalization.

Allows applications to open network sockets.
Allows applications to access information about networks.
Allows an application to write to external storage.
Allows applications to access information about Wi-Fi networks.
Allows an application to receive the ACTION_BOOT_COMPLETED that is broadcast after the system finishes booting.
Allows an application to read from external storage.