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Data warehousing is crucial for businesses, but performance can degrade over time due to increased data mining and usage. Improving infrastructure, deleting outdated data, and providing training can all improve data warehouse operations.
As data warehousing has become increasingly important to businesses, increasing data warehouse performance has become vital. A company’s data warehouse contains information about customers, trends, sales, and many other business intelligence elements that help executives and other business decision-makers determine corporate strategy. With many people depending on the data in the data warehouse to do their jobs, the performance of the data warehouse can have a profound impact on the overall performance of the business. Many companies rely on numerous ways to improve this performance, including deleting outdated data, increasing storage space, and improving the overall data warehouse architecture and design, to keep the data warehouse and business functioning best.
Data warehouse performance tends to degrade as more data is collected over a period of time. Increasing data mining, while important to the business, increases the overall load on the system. More people using the system also increases the load as more queries are made by various employees. Removing stale information means that queries can be processed faster and return more relevant results, making overall data warehouse maintenance an important part of improving data warehouse operations.
Infrastructure is another important factor in data warehousing. A data warehouse system may perform at the maximum level possible for the available technology, but three or even just two years later it may be considered obsolete. Improving the data warehouse architecture, both hardware and programmatically, can also significantly increase data warehouse performance. Upgrading processors, adding additional storage, and using newer and leaner query protocols can dramatically improve performance. Additionally, these changes in the overall data warehouse design can make a significant difference in how much data can be stored and how quickly the system can process individual queries.
Another approach that can help improve data warehouse performance is training. Data warehousing was originally designed to support decision making at a senior management level, but the overall utility of business intelligence has led many more people to use data for a variety of purposes. In some cases, these employees have not received adequate training and do not know how to build efficient queries to retrieve the information they need. For these employees, training in how to use the system and how to effectively query data can lead to a big improvement in data warehouse performance.
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