The setup of this experiment has a major flaw, the business card has only email address and in countries where email was never fully adopted like China or other, people would need to go extra miles to contact the wallet…
Google has more than 100k employee, at any given week I bet there are more than 100 people leaving. Letting go 50 people is barely layoff. Misleading title
Whether the virus came out of a lab or not, one thing is clear — we as a country can’t handle any pandemic. Till this day we still can’t get everyone wear a mask in public. (I have some people on FB working at tech…
great work, this helps those want to try new stuff like presto virtually with zero cost and time
love it, how you can just tail all the logs across cluster with a single command!!!
We sort of made it a partial star schema, but not strictly. since random join can be expensive
The hadoop setup we have is actually EMR, and we use s3 for data storage, so for us Hive/Hadoop doesn't save much in terms of data loading. And once you have a process setup to load and update the data in Redshift, you…
Thanks for pointing it out, we have correct it in our post
The setup of this experiment has a major flaw, the business card has only email address and in countries where email was never fully adopted like China or other, people would need to go extra miles to contact the wallet…
Google has more than 100k employee, at any given week I bet there are more than 100 people leaving. Letting go 50 people is barely layoff. Misleading title
Whether the virus came out of a lab or not, one thing is clear — we as a country can’t handle any pandemic. Till this day we still can’t get everyone wear a mask in public. (I have some people on FB working at tech…
great work, this helps those want to try new stuff like presto virtually with zero cost and time
love it, how you can just tail all the logs across cluster with a single command!!!
We sort of made it a partial star schema, but not strictly. since random join can be expensive
The hadoop setup we have is actually EMR, and we use s3 for data storage, so for us Hive/Hadoop doesn't save much in terms of data loading. And once you have a process setup to load and update the data in Redshift, you…
Thanks for pointing it out, we have correct it in our post