With the real-time data external to the warehouse, it is not possible for a single report or analysis to join or co-display real-time and historical information.
Surprisingly quickly the continuous data loading process may become blocked, or what used to be fast queries may begin to take intolerably long to return.
The best option in many cases is to store the real-time data in an external real-time data cache (RTDC) outside of the traditional data warehouse, completely avoiding any potential performance problems and leaving the existing warehouse largely as-is.
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This paper focuses on an in-depth study of structured and unstructured data, data warehouse Keywords: Business Intelligence, Data mining, Data warehouse, pattern .International Journal of Data Warehousing and Mining (IJDWM and practical applications in data warehousing and data mining.
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From the query tool's perspective, there is nothing different about a real-time data warehouse modeled in this manner than from a non-real-time warehouse.
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Also by using just-in-time data merging from the RTDC into the warehouse, or reverse just-in-time merging from the warehouse into the RTDC (described in Solutions 4d and 4e), queries can access both real-time and historical data seamlessly.
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Depending on the approach taken and the analytical tools being used, either all queries that involve the real-time data are directed to the RTDC, or the real-time data required to answer any particular query is seamlessly imaged to the regular data warehouse on a temporary basis to process the query.
The external data cache database is generally modeled identically to the data warehouse, but typically contains only the tables that are real-time.
Instead of loading the data in real-time into the actual warehouse tables, the data is continuously fed into staging tables that are in the exact same format as the target tables.
Also the issue of real-time data warehouse scalability, and four additional approaches to building a scalable real-time warehouse system, are discussed in Section 4 of this paper.
This approach has the additional advantage of eliminating performance problems associated with the other approaches to integrating real-time data into a data warehouse.