Data warehouse is the place where the data which is generated from a wide range of sources is collected and managed. The key objective of the data warehouses is to enable the experts to perform data analysis. Also, the data warehouses make it easy to generate reports based on the data analytics. In fact, data warehouses are also used for ad-hoc queries. Data warehouses are built to manage a large variety of data. A massive stream of data, which is collected from a host of different sources is stored in the data warehouses. And, the data is further analyzed to get meaningful insights. This helps the companies to make much more powerful business decisions.
Data warehousing leads to analytics’ success
Data warehouse is a back-end solution where data is being stored. As, data warehouses are meant to store the data, the structure of the data warehouses are very different from the traditional databases. A modern data warehouse can be either virtual or even physical. Also, the structure of the warehouse vary, some of them are structurally relational, cubes etc. Basically, the present data warehouses are made using cutting-edge technology. They are designed perfectly to manage the data from various sources.
Here’s how proper data warehousing lead to analytics’ success
- Data has to be maintained and managed properly
One of the main reasons that make data warehouse an eminent part of the data analytics system is that it is a centralized place where data is stored. Data from a wide range of sources is collected and stored in the data warehouses. And, as we all know, data is definitely the core of data analytics. Therefore, the data has to maintained and stored in a safe place. The warehouse should be capable of managing the data and also transferring it for further processing and analytics.
- Data warehouse is the backbone of Business Intelligence
Data warehousing solutions is definitely considered as the core or the heart of a Business Intelligence process. If a company has to make sure that the data analysis is done properly, they have to first make sure that the data is stored properly. At the same time, data has to be managed in a proper manner. Only after the massive amount of data is maintained in a secure manner, then only analysis can be done. As, the BI tools and programs can only process the data which is collected. And, if a company has to get BI success, they need to make sure that the data is not just collected properly, but also stored and managed properly in a high quality warehouse.
Business Intelligence is nothing but the details or the information which is curated from the data gathered from several sources. The data is stored in the data warehouse, but it only becomes useful when it is analyzed. Data warehouses can be of different shapes and sizes. And, later on the data is transferred to the BI tools for processing. The analytics generated by the BI solutions is used for the betterment of the company.
Data housing is the core of any analytics process. Therefore, companies are trying their level best to make sure that they have a high-end data warehousing solution in place. Also, the data warehouses have to be properly connected to the other parts of the data analysis solutions. As, the data has to be transferred for analytics, and then only data can be termed useful. However, the companies have to make sure that the data analytics system are highly secure as well. Because, the data has to kept safe before and after processing.
