Tag: Database
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Key questions when selecting an analytic RDBMS
Key questions when selecting an analytic RDBMS:
Assuming you know that you really want to manage your analytic database with a relational DBMS, the first questions you ask yourself could be:
- How big is your database? How big is your budget?
- How do you feel about appliances?
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DBSeer: Making Database Cloud Computing more Efficient
Making cloud computing more efficient:
For database-driven applications, new software could reduce hardware requirements by 95 percent while actually improving performance.
DBSeer – an open source machine learning algorithm to improve DB performance in VMs, being developed at the MIT.
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One database to rule them all?
One database to rule them all?:
Perhaps the single toughest question in all database technology is: Which different purposes can a single data store serve well? — or to phrase it more technically — Which different usage patterns can a single data store support efficiently?… Continued
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Cloud databases, or database on the cloud?
Cloud databases, or database on the cloud?:
NuoDB has today kicked off that debate with the launch of its Cloud Data Management System and 12 rules for a 21st century cloud database. NuoDB’s 12 rules appear pretty sound to me – in fact you could argue they are somewhat obvious.… Continued
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Updated Database Landscape Map
Updated database landscape graphic:
I recently published an updated version but noted that there were a group of database vendors that had emerged in 2012 that didn’t easily fit into the segments we’d created.
It’s so much better… Good overview for anybody interested in understanding the DB world beyond just whatever one or two products or technologies they already know.
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Oracle 12c Speculation
Oracle RDBMS 12c speculation by Curt Monash: Thoughts on the next releases of Oracle and Exadata. Curious to see how much they’ll really be able to pull out to make a credible cloud offering… or if Oracle’s architecture and code base is just too much Enterprise and not enough Cloud.
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Why the days are numbered for Hadoop as we know it
GigaOm kicked off some good discussion in Why the days are numbered for Hadoop as we know it:
Hadoop is everywhere. For better or worse, it has become synonymous with big data. In just a few years it has gone from a fringe technology to the de facto standard.… Continued
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Database Diversity Revisited
According to Monash:
every sufficiently large enterprise needs to be cognizant of at least 7 kinds of database challenge.
via Database diversity revisited. I can relate to that for the Financial Industry (not having had much exposure to other industries).… Continued