Documents the tool evaluation and selection processes in a single deliverable. Each major section of the deliverable documents a step in the selection process. Sections to be included are as follows:
Prepare the Data Cluster Priority Matrix. It identifies the order in which each data grouping should be added to the data warehouse. For example, it identifies that Marketing Research should be done first, followed by Customer Service, etc.
This deliverable is a component of the Data Warehousing Program Strategy. Once the strategy is completed, the findings and recommendations are presented to the Acceptor.
Outstanding performance can really turn people’s heads; look at the Bugatti Veyron or some of the most advanced Ferraris as proof. A good price point can earn attention, too . . . all sorts of stuff has been written about the Tata Nano. But it’s the combination of these qualities that may count most, and Oracle and HP have set a database record in this respect.
A database company made it big this earlier week. Although financial details weren’t disclosed, IBM announced yesterday that it had acquired Exeros, which should represent about as good an end for the privately held business as its owners could have hoped to see.
Put away your (figurative) plague, chain mail, and accusations of witchcraft. It’s time for pretty music, sketches of flying machines, and blossoming cities. Or to speak more plainly: the database industry is supposed to be undergoing a renaissance.
People who are interested in search engines spun rumors for what seemed like an endless amount of time as Microsoft tried to acquire Yahoo last year. Now, although little is happening at the moment, the IBM-Sun relationship has created a similar spectacle for database professionals.
I have written about QuickBase’s moves in the enterprise 2.0 space on this blog before (see - Changing Organization Behavior at XM Radio through Enterprise 2.0). QuickBase is an Enterprise 2.0 shareable database that lets you select ready-made online workgroup applications or templates designed to solve common business problems, customize them to suit individual processes, and share within a team or an enterprise.
I got a second chance to chat with the folks at Truviso recently. Truviso was founded after a Professor and his PhD student, at Berkeley went back to the fundamentals of data management and predicated that in a world of highly interconnected objects it would be necessary to eliminate the batch-centric database process of “store first, query later”. Truviso is the result, focused on providing analysis in real time and continuously. This system is based on PostgreSQL allowing an integration of stream processing and traditional queries.
I got my first chance to really see KXEN’s product a little while ago and, as I am off to Predictive Analytics World tomorrow, I thought I would blog about it. KXEN was founded in 1998. The product is designed to deliver automated data mining and predictive analytics at a function level - the user doesn’t have to choose variables or algorithms.
Seven well-known technology companies have announced they are working together to create a white spaces database to manage the use of the vacant television broadband spectrum, commonly referred to as TV white spaces.