A practical guide to business: Data warehousing

In order to monitor a particular business well, a system is needed. Bigger companies need much data system as they are operating around the world. This could help them to fix the problem of the company. To see what are the best way to regain the growth of the business. Most especially to trace the success of the company.

As data warehousing is one of the techniques used to understand and analyze well the data of a company. Also for collecting and managing data from varied sources. This is to provide meaningful business insights. For the business leaders to analyze well and check the activities of the business. It is a blend of technologies and components which allows the strategic use of data. It is electronic storage of a large amount of information by a business. This is well designed for query and analysis instead of the transaction processing. It is also the process by which transforming of data into information happens. Making information available to users in a timely manner.

Types of the Data warehouse. It is important to know the different data warehouse. As it will help you to identify what data warehouse a business need to use. Another is that it will help you to be aware and will be beneficial to your business.

Enterprise Data Warehouse. This type of data warehouse is a centralized warehouse. Wherein it can provide a decision support service across the enterprise. It can also offer a unified approach for organizing and representing data. Another is that it provides the ability to classify data according to the subject matter. These include the data from customers and historical activities. It also gives you access according to those categories.

Operational Data Store. This type is also called ODS. This is a data store required when neither Data warehouse nor OLTP systems. This can support organizations to their reporting needs. In ODS, Data warehouse is refreshed in real time. Hence, it is widely preferred for routine activities. Such as storing records of the Employees. This type of data warehouse usually uses for storing the profile of the employees, and also for monitoring.

Data Mart, this is the type of data warehouse, serves as the subset. It is designed for a particular line of business, such as sales, finance, sales or finance. With this type of data warehousing, data can collect directly to the sources. Unlike other types of Data warehouse where you need to enter the data from the sources.

General stages of Data Warehouse. It has different stages where you can have with their different types of  Data warehouse.

Offline Operational Database. In this stage data, is just copied from an operational system to another server. The whole process of loading, processing, and reporting happens in this stage. Thus, it will not affect the operating system’s performance.

Offline Data Warehouse. In this stage, the data warehouse is regularly updated from the Operational Database.  The data is mapped and transformed to meet the Data warehouse objectives.

Integrated Data Warehouse. In this stage, Data Warehouses are updated continuously. When the operating system performs a transaction. The Data warehouse then produces transactions. Then, these are passed back to the operating system warehouse.

Endnote

The data warehouse is the best combination of technology and data. As data warehouse serves as the intelligence tool produced by the technology. Data will be substance to complete the whole process of data warehousing.