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Last updated : Jul 30, 2011
Not on the current edition
This blip is not on the current edition of the Radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar Understand more
Jul 2011
试验 ? 值得一试。了解为何要构建这一能力是很重要的。企业应当在风险可控的前提下在项目中尝试应用此项技术。
Like iterative software development, there is lot of value to be gained by delivering data warehousing projects using iterative techniques. Iterative data warehousing techniques allow the end users of the data warehouse to determine what reports they want and the ETL developers and data modelers to deliver those features without wasting time with data modeling and ETL jobs that do not provide immediate value to the business.
Aug 2010
评估 ? 在了解它将对你的企业产生什么影响的前提下值得探索
The industry has seen significant changes to the way we use and store data over the past few years. Agile development practices have lead to greater emphasis on evolutionary database design, requiring new tools that support migration of schemas in line with changes to the domain model of an application. As storage space consistently becomes cheaper and data access speeds increase, many organizations are investigating the use of multiple schemas to hold data for different purposes, e.g. transactional and analysis schemas. Incremental data warehousing is becoming increasingly popular as the cost of moving data between a transactional data store and an analysis environment is less than the value of having access to near real-time reporting of critical business data.
Apr 2010
评估 ? 在了解它将对你的企业产生什么影响的前提下值得探索
Jan 2010
评估 ? 在了解它将对你的企业产生什么影响的前提下值得探索
已发布 : Jan 11, 2010
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