The Terms Overlap As we’ve been considering Database Appliances a number of terms, techniques, problems and solutions continue to overlap. We see terms like Cloud, Appliance, Parallel Processing, Distributed data, Structured data, Big Data and distributed processing continue to appear with different implementations behind each. None of these terms are mutually exclusive as I see it. Different offerings take a […]

Database Appliances Yesterday as I started the discussion around Appliances. I found it difficult to characterize the concept of Appliance and the different vendors providing these resources. Generally you could say appliances form the foundation for a private cloud offering while reducing the cost of designing and maintaining the configuration due to some form of standardization. I don’t have a […]

SSWUG TV With Stephen Wynkoop Don’t miss this Interview with Mark Tabladillo, SQL Server MVP and acclaimed data mining instructor. Watch the Show Database Appliances One of the trends from vendors that seems to be growing is the database appliance. Different vendors are providing pre-defined systems individually or with strategic alliances. Oracle has taken the approach of having a single […]

SSWUG TV With Stephen Wynkoop What, Mango on the Windows Phone? Check it out on SSWUG TV. Map Reduce Explained David shares more insight into the history of the Map Reduce pattern. His practical explanation should provide some ideas for how you can utilize this pattern in your own systems. David Writes: The description of Map and Reduce is not […]

MapReduce – A Key to NoSQL Performance If you have been following the trend of my editorials these last few weeks, it will all start to come together today. While NoSQL and MapReduce are not necessarily linked, they are often combined to increase performance. MapReduce is a pattern allowing large chunks of data to be broken up into smaller chunks […]