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Last updated : Mar 16, 2012
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
Mar 2012
Adopt ? We feel strongly that the industry should be adopting these items. We use them when appropriate on our projects.
If the rate at which business is changing is an indicator of change in requirements, then the days of doing upfront database design are gone. Instead, projects should follow evolutionary database techniques and continue to change their database schemas as new requirements are implemented over the course of the project. Deployment of database changes should also be automated so that the application release that relies on those changes does not have to wait for manual deployment of the database changes. Automated database deployment ensures that application and database changes can be deployed automatically. Evolutionary database and automated database deployments ensure highly productive teams a path to continuous delivery.
Jul 2011
Adopt ? We feel strongly that the industry should be adopting these items. We use them when appropriate on our projects.
Jan 2011
Adopt ? We feel strongly that the industry should be adopting these items. We use them when appropriate on our projects.
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.
Aug 2010
Adopt ? We feel strongly that the industry should be adopting these items. We use them when appropriate on our projects.
Jan 2010
Trial ? Worth pursuing. It is important to understand how to build up this capability. Enterprises should try this technology on a project that can handle the risk.
Veröffentlicht : Jan 11, 2010
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