A total waste of time and money...(it does cost 67$ !!!)
Except from the first few lines...
*In a relational database, data is organized into table format*
> > Except from the first few lines...
> > *In a relational database, data is organized into table format*
>
> Do you think you can estimate the quality of a book by evaluating
> the first lines?
I dunno but thanks to some people like F.PASCAL and a few others, I
can smell cookbook declarations and non commitment to terminology from
miles.
--CELKO--
hmmm. You've been following my sundry blogging?? :) Just kidding. But
not about the point. I don't follow hardware all that closely; then I
ran across a reference to an interview with Linus Torvalds, which I
read. In it, he referred to file systems and the looming presence of
solid state disks.
Which got me to thinking: if there's no rotational delay in the file
system, then what happens to the standard objection to the Relational
Database; joins are toooooo sloooow. And then, why not, finally, follow
the mantra: one fact, one place, one time?
Mayhaps this will shut up the knuckleheads.
I was looking at 8GB memory sticks at Costco yesterday under $20.00.
Look at WX 2 (nee White Cross), Teradata, SAND and Vertica for column
oriented RDBMS products.
In my next book, I carry things one step further. JOINs will become
cheaper than computations in the near future -- they are mostly
equality tests or simple comparisons. So more stuff will be done by
table look up in parallel hardware.
Question is: how could a column-based physical relation or relation
operation representation be superior in *any* case to some other
representation. Another way to ask the question: could join
consumption of IO resources under a column based system be increasing
any otherwise than exponentially as the number of join operation
increases?