Data Warehouse is a collection of your data that helps you make important decisions in your company, and it was in the 1980s when the concept of Data Warehouse has come into the picture and has evolved to help business intelligence.
The data from marketing, finance, sales, and other applications relating to a company does get saved in this and which let a company formulate them as per their need, and as the data is already saved, it goes with the comparison of older data already existing and then makes them reliable by keeping only the data which is required.
As well the unwanted and extra copied data will be formatted which gives the company a reliable solution to fetch.
What is a Data Warehouse?
Makes different decisions from many who think that a Data Warehouse is like the database, but this is not as this is made to perform large data collection tasks whereas a database will not do the same.
We have some basic points that might give you a direct decision on what makes Data Warehouse different databases.
Data: Data Warehousing stores the data for transformed and stored analytics purposes which thus gets optimized for retrieval and aggregation for large sets of data, and whereas a database collects data for multiple transactional purposes for reading and writes access.
Data Storage: Database does the information that can be quickly reviewed and formed with records. Whereas the Data Warehousing does store the data that can be easily accessible from multiple databases and easier to retrieve.
Data Process: Data Warehousing is an analytical database that is open for transactional databases to allow for analytics. On the other side, Databases are used in Data Warehousing which is usually used for online and other processing.
Benefits of Data Warehouse
There are multiple benefits of a Data Warehousing which are given below with some realistic points, and this is always here to business intelligence and analytics to support the business benefits.
- Always store relevant and consistent data from source for better organizations
- The data copied will be always available to fetch from company for everyone
- This is an data integrity and data quality for making decision
- It helps for easier decision making with handy data available
- It allows user to access data from different data sources from single source
- It helps to integrate multiple sources of data to decreases stress on production
Data Warehouse Other Names
Data Warehousing is also referred to by multiple names which define based on their different work aligned as below
- Decision Support System
- Executive Information System
- Business Intelligence System
- Analytics Application
- Executive Information System
How Does a Data Warehouse Work?
The information received from one or more data sources that is a main central repository where information does arrive. Data that arrives can be in different forms which can be Structured, Semi Structured or Unstructured Data.
In a Data Warehousing the data is ingested, transformed, processed such that any user can process the data through intelligence tools specified. Spreadsheets, SQL clients and other sources are used to retrieve the data. In this process entire data is collected at one source which thus makes huge data to be used for further purposes.
Having the data in one structure helps a company to retrieve their data for client form anywhere and even with easier access. This an confirmation that data is fully available which ensures them as data mining possible.
Types of Data Warehouse
There are majorly three types of Data Warehousing which are being used by companies that allow for easier data formation.
Enterprise Data Warehouse
This an centralized Data Warehousing which provides decision support to enterprise across networks, and its approach for easier representing data and organizing data helps the enterprise to proceed and classify data according to subject.
Operational Data Source
This is also referred as ODS which is nothing but a data store that doesn’t require a Data Warehousing nor its OLTP, and the data here is refreshed in real time and it is always preferred for real time networking which stores live data of employees.
This is a subset of Data Warehousing which is specially designed for line of sales, finance, business, and this is a direct form of a Data Warehouse which collects data directly from sources rather than using different interfaces.
Frequently Asked Question
Where does a Data Warehouse used?
Data Warehouse is used in businesses that store large quantities of data for their day to day routine performance, and the industry or company as Airline, Banking, Healthcare, Investment & Insurance Sector, Retain Chain, Public Sector, Hospitality Industry and Telecommunication.
Tools that use a Data Warehouse
There are multiple Data Warehousing tools that are available in the market for organization support, and as per the working process of a company, one should select from this list of majorly used tools
- Data Warehouse tools
- Mark logic
- Amazon Redshift
Where does the Data Warehouse is used?
Anyone who relies on mass amounts of data and users who use customized or complex processes which do require to retain data from multiple sources, as well people who require simple technology to get data on a single page which is always managed through systematic approach.
What are the stages of Data Warehousing?
The Data Warehousing is practically used through enterprise strategy, phased delivery and iterative prototyping stages which make the data fully available for everyone.