2 ms·
"...waiting an hour..." Uhm... Ke? I work in Business Intelligence and anything over 5 seconds to return a typical (eg: year to date/daily sales) report is un
by mark_integerdsv 14y ago
"...waiting an hour..."
Uhm... Ke?
I work in Business Intelligence and anything over 5 seconds to return a typical (eg: year to date/daily sales) report is unacceptable by my standards.
Could you perhaps go I to more detail as to the definition of 'job' in your post? Are we talking about giant year end actuarial runs here or something like that?
- igrigorik 14y agoIf you know the exact dimensions you're going to query, then you can construct a data cube to fit your exact scenario up front, and indeed, those will return fast. BigQuery allows you to explore the data without the pain of setting up your star schemas upfront. Think of it this way: you've got XXX Tb of log data, and you have a new question you want to ask it. At this point, you're heading back to Map-Reduce, or Pig/Hive, etc. BigQuery is based on Google's Dremel (check the paper, great read), and has all the operational + performance learnings from wide deployment at Google. Type in your "SQL like" query and BQ takes care of all the rest.. within an order of seconds. tl;dr: you're comparing apples and oranges.
- nl 14y agoNo, I'm talking about ad-hoc reports over large datasets. For example, find the original source of all users who bought more than 6 different items over any 6 week period during the last 5 years, then find every web page loaded by IPs form the same subnet as those users in the same time periods.
- mark_integerdsv 14y agoGot it, makes sense.