4 posts • joined 2 Nov 2012
As I understand it, Goolge Spanner is built using atomic clocks to synch data updates around the cluster, F1 is built on Google Spanner. This alone is going to make take up of the technology very restricted, unless Google offer access to F1 at a reasonable price.
A string is none atomic because you might like to search inside it. So if you have a table, one column stores 140 character tweets, you might like to search for all tweets that contain mention of "the Register" and get all the rows that contain that condition. In that case the string we are interested in, can appear anywhere in the field we are looking at and the position that it appears is unimportant. For sentiment analysis we may be interested in the position of the string, so we might want to write a query that returns all the tweets with "the register" at the end of the tweet, because these tend to be more positive. Again we are looking inside the field and are interested in the properties that the text has.
Numerical values will normally be compared against external values (count >10) or against a value in another field. You would very rarely in the real world (and I struggle to find an example) want to return all rows where the 10's value is greater than the units value, I.E compare within the decimal number. Nor would we typically look for numbers that contain a value anywhere in the number. So would we ever write a query that returns all the stores that held a stock of oranges where the number of oranges had 12 in it ? I.e 12 oranges, 120 oranges, 312 etc ?
I suspect the DoB is a mistake in the text. I'm assuming the numbers are not codes but a count of the number of types of planes detected in the images.
Re: Data Science at Dundee
We've updated that page at Dundee to include details of the proposed modules.
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