matteuan
Joined 10 years ago
Karma
638
Submissions
159
Member since
May 7
Recent submissions
Comment · 3 months ago
Kindle already supports that, or at least my 5 years old vanilla Kindle can.
Comment · 1 year ago
(I'm italian) Some international pasta brands (e.g. Barilla) have different cooking times depending on the country/market. I moved from Italy to Germany and noticed the +1 minute in many types of pasta, so I always compensate. I find the cooking time precise and useful, I don't get why people want to reinvent the wheel.
When I worked in a restaurant, we would pre-cook the pasta in the morning, store it and then cook the last few minutes when the order came in (this is actually very common also in good restaurants). Barilla/DeCecco sell restaurant targeted packages and they also report the cooking time split with the precooking. Results are basically the same
Comment · 1 year ago
Behind this there is the wrong assumption that there must be a replacement for all.
For sure there will be gaps filled by other powers, but it's not necessary, we just got used to it.
Comment · 4 years ago
like central park? It's grass and asphalt without a tree, in hot days in summer becomes a furnace. Better put some buildings AND a nice park
Comment · 5 years ago
What do you mean for "behave", there are a lot of usecases that require more than 8GB memory (expecially for developers) and there is no CPU magic that will help you with that.
Comment · 5 years ago
Interesting, but still I don't think your comment is very relevant to this. Without cows we could have a forest instead of grass, instead of leaving it to rot. So if the number of cows remains constant you benefit from reducing methane emissions.
Comment · 5 years ago
If you don't need the sea, I suggest some cheap german city like Leipzig or Dresden.
Another not so common idea is Bulgaria: cheap, very low taxes (flat 10%) and a lot of english speakers (expecially in Sofia). I've been there several times and it's also a very nice place.
Comment · 5 years ago
The living example of the aphorism "Si vis pacem, para bellum"
https://en.wikipedia.org/wiki/Si_vis_pacem,_para_bellum
Comment · 6 years ago
If there was something better than Spark for distributed processing, we would be using it. The rest of your comment is a straw man argument, assuming everybody uses it for datasets fitting in memory of a single node.
Comment · 6 years ago
For research, I created experimental RDF storage on top of Parquet and Apache Spark for querying big graphs[1].
It converts the RDF graph in a sort of property graph, where we have a row for each entity and where the columns are the all possible properties.
The trick is to use a columnar format with the proper encoding (in our case Parquet), to solve the problem of having a lot of columns and a huge NULLs space. With this representation we can eliminate costly joins for most of the common queries, but also reduce the size of the necessary ones.
Comment · 6 years ago
Does anybody have a price comparison between this and storing stuff in S3 bucket and loading it all the times?
Comment · 6 years ago
We use Lambda with S3 as intermediate storage between different steps, sort of multiple-stages map-only MapReduce. And we still use Hadoop on premise :)
Comment · 6 years ago
Preprocessing and forwarding data to on-premise
Comment · 6 years ago
Wikipedia spends more than that only for "Donation processing expenses". Of course it is a nice contribution but, in my opinion, very small if compared to the huge value that Google is able to get for free.
https://wikimediafoundation.org/about/2018-annual-report/fin...