clive boulton's net-net

Oct 01

My University IT has integrity   

My University IT has integrity   

Larry Ellison: Extend your SaaS apps in our cloud -

A very good series of arguments made by Larry Ellison: Oracle has made it possible to write your code once 30 years ago and move it 3 times. From microcomputers, to client server, to internet cloud.

Parsing further, 30 years ago the enterprise was transactional record keeping and consumer applications were communications. Then along came personalized business: built-in social, mobility, in-memory data analytics, and security offerings.

Providers have an ace in the hole who merge business and communications applications at a very fast rate. Case in point Salesforce.com.

Cloud providers who provide only IaaS, without PaaS or SaaS have a 30 year deficit, unless folks are building brand new applications from a blank sheet, they are really just a better Dell.     

 

Sep 30

Aral Balkan — Ello, goodbye. -

The other side of the Ello story. Illuminating.

Sep 29

Deploying Go servers with Docker - The Go Blog -

step by step

Sep 28

BlackBerry Square follows function.
Coda: Did Microsoft acquire the wrong smartphone company?

BlackBerry Square follows function.

Coda: Did Microsoft acquire the wrong smartphone company?

Sep 27

When to Use a NoSQL Database -

wolf:

nosql:

Gil Allouche:

If your company has complicated, large sets of data that it’s looking to analyze, and that data isn’t simple, structured or predictable data then SQL is not going to meet your needs. While SQL specializes in many things, large amounts of unstructured data is not one of those areas. There are other methods for gathering and analyzing your data that will be much more effective and efficient and probably cost you less too.

It fascinates me how our industry is still looking for generic blueprints for making technical decisions. Based on your own experience how many times did this work? How many times have you been able to make a decision (leading to a successful project) based on a checklist? I can understand that checklists are useful in reducing the initial search area, but the rest should always be based on a combination of experience, learning and understanding, and try-and-error. It doesn’t sound scientific, but I’d argue it’s more scientific than a generic checklist.

Original title and link: When to Use a NoSQL Database (NoSQL database©myNoSQL)