By R. A. Moeller
ISBN-10: 0814405886
ISBN-13: 9780814405888
Flip to this ebook to profit to control mountains of data
through disbursed info warehousing thoughts.
Read or Download Distributed Data Warehousing Using Web Technology: How to Build a More Cost-Effective and Flexible Warehouse PDF
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Extra resources for Distributed Data Warehousing Using Web Technology: How to Build a More Cost-Effective and Flexible Warehouse
Sample text
While most of these locations function as independent data marts, it is possible to include other data sources, even external ones (via the Internet). Users enjoy the same advantages with a heterogeneous distributed data warehouse as they do with a homogeneous one: rapid response times for most queries, local autonomy, and the ability to query the global warehouse. Because different data sources can be included in the heterogeneous system, users may have enhanced access to corporate data. Again, the architecture of the heterogeneous distributed management tool is key to the functioning of the system.
As the data warehouse market developed over the past fifteen years, many different philosophies and methodologies have evolved, some requiring extensive resources and some with a quick-fix approach. Today, it is apparent that no single architecture is right for every situation. If data warehousing technology is to reach the next stage of its life cycle, universal development, corporations must be allowed to examine their information needs, data source structures, and timelines and requirements and have the freedom to apply whatever warehousing architecture best suits their needs.
Restarts and recoveries must be planned for each individual site and then for the warehouse as a whole. Because identical data is often stored at two or more sites, consistency can be a problem if not constantly monitored. Tuning is also an issue for a distributed data warehouse. Each individual data mart must be tuned, and then the entire warehouse adjusted to ensure adequate performance. Tuning includes more than just indices and summary tables; selected data and even entire tables may be relocated to a different site or duplicated across sites.
Distributed Data Warehousing Using Web Technology: How to Build a More Cost-Effective and Flexible Warehouse by R. A. Moeller
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