Google BigQuery Is Now Even Bigger
vu1986 writes "With the latest updates — announced in a blog post by BigQuery Product Manager Ku-kay Kwek on Thursday — users can now join large tables, import and query timestamped data, and aggregate large collections of distinct values. It's hardly the equivalent of Google launching Compute Engine last summer, but as (arguably) the inspiration for the SQL-on-Hadoop trend that's sweeping the big data world right now, every improvement to BigQuery is notable."
You'd be some idiot to build a business on the back of a service that might disappear. At least with the IaaS providers you have some hope of being able to recover should the service provider decide they no longer want to support their service, because you can shift your application to new infrastructure. If you're tied into the Google world-view, you're only a short blogpost away from seeing your business threatened.
anything that gets rid of Oracle and Larry is a good thing, that fucker has a special place in hell
I totally agree with hmmm, building a business on a service that might (and in time deffinitly) disappear is crazy. This is for every remote service. I have the same problem for a business of mine (CloudFormz). I would like to add the DropBox API for example so all file uploads are uploaded to DropBox. But what if the api stops working or even worse, DropBox stops it service? Then you get a lot of angry customers and you have no way to retrieve your data. (sorry for my English grammar). Do you have any failsafe ideas?
A cloudy database, "the be all and end all of IT services and methodologies", is finally getting the rudimentary features of the SQL databases of the 1990s that cloud proponents have been deriding for the past few years? So Google's cloudy database is almost useable?
Good news everyone! It's a suppository.
"users can now join large tables, import and query timestamped data, and aggregate large collections of distinct values."
Wow. It's like 1986 all over again. Gonna turf my enterprise SQL back-end and get me some o' that!
"NoSQL" grew up into "SQL".
Table-ized A.I.
Ooh. "its a data analysis platform for large data sets that uses an SQL-like query syntax."
And now it's even better than anyone could ever have imagined because now it has joins! Ahhh!