History of Data Warehouse
The Data Warehouse enables users to improve their organization’s performance by providing insight into the data How Data Warehouse Works?
A Data Warehouse serves as a central repository that collects data from one or more sources Types of Data Warehouse
There are three main types of Data Warehouses: Enterprise Data Warehouse (EDW): An EDW is a centralized warehouse that provides decision support What Are The Stages of Building A Data Warehouse?
There are 4 stages of a data warehouse that help in finding out and understanding how the data changes in the warehouse Components of Data Warehouse
Four key components of a Data Warehouse are: Load Manager: Also known as the front-end component Who Needs A Data Warehouse?
A Data Warehouse is necessary for various types of users including: 1. Decision-makers who require access to large amounts of data 2 What Are The Examples of Data Warehousing in Various Industries?
Data Warehousing has a range of applications in various industries, here are some examples: Investment and Insurance: In this industry Best Practices to Implement A Data Warehouse
When designing a Data Warehouse, consider the following steps to ensure consistency, accuracy, and integrity of the data: 1 Advantages & Disadvantages of Data Warehousing
The benefits of using a Data Warehouse (DWH) include: 1. Quick access to critical data from multiple sources in a centralized location. 2 Stages Of The Data Warehousing Process
- Establishing Business Objectives Every business has objectives, and the first step in the data warehousing process is clearly determining those business objectives. ...
Extraction of
data – A large amount of
data is gathered from various sources. Cleaning of
data – Once the data is compiled, it goes through a cleaning process. The data is scanned for errors, and any error found is either corrected or excluded. Conversion of
data – After being cleaned, the format is changed from the database to a
warehouse format.Data warehousing is not a single-designed infrastructure. It has certain stages which ensure that it is well maintained. The general stages of data warehousing are as follows:
Offline database Offline data warehouse Real-time data warehouse Integrated data warehouse,
×The stages of the data warehousing process are as follows:
- Establishing business objectives
- Collecting and analyzing information
- Developing a data framework
- Moving the data
- Plan implementation
- Extraction of data
- Cleaning of data
- Conversion of data
- Offline database
- Offline data warehouse
- Real-time data warehouse
- Integrated data warehouse
