Data warehouse and data mining applications can give an excellent support to the implementation of business intelligence in the future.doi:10.1109/IHMSC.2014.146Shenglei PeiGuoqing JiaIEEE2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics
We have used the term “data warehouse” as a catch-all phrase describing the location from which our reporting and analytics will be served. Basically, a data warehouse is the primary source of information that feeds the analytical processing within an organization. InChapter 2we discussed a nu...
a data warehouse or a data lake, an increasingly common repository inbig data environmentsthat contain a mix of structured and unstructured data. External data sources can also be used. Wherever the data comes from, a data scientist often moves it ...
The structured data produced by text mining can be integrated into databases, data warehouses, or business intelligence dashboards and is used for descriptive, prescriptive, or predictive analytics. Text is the most ordinary data category within databases. [imagesource] The data needs to be organiz...
A data warehouse is not just a storage mechanism. You should consider it as a platform that is used for data analysis, data mining, machine learning (ML), and artificial intelligence (AI) for a large amount of historical data. ETL Process The ETL (extract, transform, and load) process is...
Data Warehousing: Implementation Challenges and Considerations Key Challenges in Implementing a Data Warehouse Data Integration:Harmonizing data from diverse sources and formats is a significant challenge. Ensuring consistency, accuracy, and completeness of data is crucial for reliable analysis. ...
Data Mining, which is also known as Knowledge Discovery in Databases is a process of discovering useful information from large volumes of data stored in databases and data warehouses. This analysis is done for decision-making processes in the companies. ...
5. Evaluation of results and implementation of knowledge:When the data is aggregated, it can then be prepared for presentation, often by usingdata visualizationtechniques, so that the results can be evaluated and interpreted. Ideally, the final results are valid, novel, useful and understandable. ...
Data cube computation is an essential task in data warehouse implementation. The precomputation of all or part of a data cube can greatly reduce the response time and enhance the performance of online analytical processing. However, such computation is challenging because it may require substantial co...
Of course, your software development partner or internal CTO will likely guide you and advise the most suitable data warehouse design for your unique needs. Nonetheless, it’s still a good idea for business leaders to understand some basics about this topic prior to diving into implementation. ...