What is Database?
A database is a collection of related data which represents some elements of the real world. It is designed to be built and populated with data for a specific task. It is also a building block of your data solution.
What is a Data Warehouse?
A data warehouse is an information system which stores historical and commutative data from single or multiple sources. It is designed to analyze, report, integrate transaction data from different sources. Data Warehouse eases the analysis and reporting process of an organization. It is also a single version of truth for the organization for decision making and forecasting process.
Why use a Database?
Here, are prime reasons for using Database system:
It offers the security of data and its access A database offers a variety of techniques to store and retrieve data. Database act as an efficient handler to balance the requirement of multiple applications using the same data A DBMS offers integrity constraints to get a high level of protection to prevent access to prohibited data. A database allows you to access concurrent data in such a way that only a single user can access the same data at a time.
Why Use Data Warehouse?
Here, are Important reasons for using Data Warehouse:
Data warehouse helps business users to access critical data from some sources all in one place. It provides consistent information on various cross-functional activities Helps you to integrate many sources of data to reduce stress on the production system. Data warehouse helps you to reduce TAT (total turnaround time) for analysis and reporting. Data warehouse helps users to access critical data from different sources in a single place so, it saves user’s time of retrieving data information from multiple sources. You can also access data from the cloud easily. Data warehouse allows you to store a large amount of historical data to analyze different periods and trends to make future predictions. Enhances the value of operational business applications and customer relationship management systems Separates analytics processing from transactional databases, improving the performance of both systems Stakeholders and users may be overestimating the quality of data in the source systems. Data warehouse provides more accurate reports.
Characteristics of Database
Offers security and removes redundancy Allow multiple views of the data Database system follows the ACID compliance ( Atomicity, Consistency, Isolation, and Durability). Allows insulation between programs and data Sharing of data and multiuser transaction processing Relational Database support multi-user environment
Characteristics of Data Warehouse
A data warehouse is subject oriented as it offers information related to theme instead of companies’ ongoing operations. The data also needs to be stored in the Datawarehouse in common and unanimously acceptable manner. The time horizon for the data warehouse is relatively extensive compared with other operational systems. A data warehouse is non-volatile which means the previous data is not erased when new information is entered in it.
Difference between Database and Data Warehouse
Applications of Database
Applications of Data Warehousing
Disadvantages of Database
Cost of Hardware and Software of an implementing Database system is high which can increase the budget of your organization. Many DBMS systems are often complex systems, so the training for users to use the DBMS is required. DBMS can’t perform sophisticated calculations Issues regarding compatibility with systems which is already in place Data owners may lose control over their data, raising security, ownership, and privacy issues.
Disadvantages of Data Warehouse
Adding new data sources takes time, and it is associated with high cost. Sometimes problems associated with the data warehouse may be undetected for many years. Data warehouses are high maintenance systems. Extracting, loading, and cleaning data could be time-consuming. The data warehouse may look simple, but actually, it is too complicated for the average users. You need to provide training to end-users, who end up not using the data mining and warehouse. Despite best efforts at project management, the scope of data warehousing will always increase.
How is a Database Different from a Data Warehouse?
A database is a collection of related data representing some real-world elements. In contrast, A data warehouse is an information system that stores historical and commutative data from single or multiple sources.
What Works Best for You?
To sum up, we can say that the database helps to perform the fundamental operation of business while the data warehouse helps you to analyze your business. You choose either one of them based on your business goals.
