just a tip for doing the "dirty" vocals: this works for me, idk if it will work for everyone tho. tense up your abdomen so that it also tenses up your throat. for me this gives me a very consistent dirty sound and you can change how intense it is by tightening or loosening your stomach and throat muscles. i can match David's voice almost exactly when doing this. a good song to practice this with is Head Crusher by Megadeth. it's the same principle except the whole song is sung like that. other than that, good cover.
This is a very difficult song to do, because the perfect sound experienced in the song is only possible through artificial harmony and some minor editing. Done solo the notes are VERY hard on your voice, as evidenced by both this guy and david draiman live. Cudos to this guy. You did a great job muzikgod88.
the syrup in a monster energy drink will help with the low end. plus you'll be hyped as fuck and may break the camera, so though we may not see it, you'll be hitting the same notes with that chorus rasp. keep it up man.
Your clean voice sounds AWESOME! You could however work a bit more with the rasp/distortion parts. You could check out CVT (Complete Vocal Technique) if you haven't already, for a more healthy way of producing the aggressive sounds :)
This article has been motivated by a response I gave to a problem raised on an Oracle developer forum. Our requirement is to produce a report that details customer spending for each month of the year. Our database only records actual spend, so for any given month, data for dormant or idle customers will have to be generated.
First, well create a mock CUSTOMER_ORDERS table with sparse data to represent customer spending. To keep the example simple, well denormalise the customer name onto the orders table.
a sparse report.
With our customer orders data as sparse as it is, a monthly report for purchases by customer would look as follows.
adding the missing months.
We can see from the data that we are missing most months of the year for our two customers. Remember that our requirement is to show a report for every month in 2004 for every customer. First we will build a "time dimension" set (using subquery factoring) and outer join it to our orders table.
We can see that this hasnt quite worked. We have the zero sums and the year-months, but we are missing customer names. This is because we outer joined to CUSTOMER_ORDERS on the year-months, so any customer columns would show as NULL for deficient rows. Until PARTITION OUTER JOIN appeared in Oracle 10g, we couldnt "invent" data easily , though the next section shows that it is possible in prior versions.
data-densification without partition outer join.