311–320 of 416 posts
Earlier quoted context omitted.
As a skateboarder I've always found the name itself rather amusing as the term mongo has relatively negative connotations in skating.
It also does in Spanish, it's a (rather old, but still used) shortened version of "retard" (from "mongólico", originally used to describe people with Down's syndrome).
Anyone has a recommendation for a NoSQL database? https://news.ycombinator.com/item?id=23253870 (not Mongo obviously)
This question sounded familiar - turns out I replied to it in another thread: https://news.ycombinator.com/item?id=23286054 To repeat my (non)answer: There is no way to recommend NoSQL database without knowing what you need it for because NoSQL databases are highly specialized systems. If you need general-purpose database use an SQL one. It's kind of a weird question, now that I think about it. Why would anyone seek…
If you're starting from just "I need to store some data" I'd look to e.g. Riak or Cassandra before looking to an SQL database.
If you set w: majority and r: linearizable/snapshot, both on collection, client and on transactions. Plus assuming you accept snapshot over Isolation. How bad are those remaining cases in reality and how do these issues compare to other databases? The final "read your future writes" error looks quite scary and does not seem to be caused by configuration error, same with "duplicate effects".
Earlier quoted context omitted.
As a skateboarder I've always found the name itself rather amusing as the term mongo has relatively negative connotations in skating.
It also does in Spanish, it's a (rather old, but still used) shortened version of "retard" (from "mongólico", originally used to describe people with Down's syndrome).
Earlier quoted context omitted.
Nobody seems to like it. Someone has any idea on why the company still has their revenue increasing ?
I like it, but I don't really really chime in on threads where it's mostly Mongo bashing and jokes, and I'm guessing others who like MongoDB do the same. But I'd think MongoDB the company increasing in revenue isn't totally related to the quality of MongoDB the database. In fact a lot of their products seem to be targeting the "I don't want to learn how to set it up and understand indexes" crowd.
But I've always been curious: as a person who like MongoDB, do you have an opinion about Mongo vs. Couch? Keep in mind that you don't have do convince me that there are niches where that style of DB is appropriate ;-) I'm mostly just interested in the comparison since I've never spent any time looking at MongoDB.
Earlier quoted context omitted.
As a skateboarder I've always found the name itself rather amusing as the term mongo has relatively negative connotations in skating.
It also does in Spanish, it's a (rather old, but still used) shortened version of "retard" (from "mongólico", originally used to describe people with Down's syndrome).
Earlier quoted context omitted.
Which is funny because one of the things hosted Mongo will do is constantly send you automated emails suggesting that you should create indexes (for tables that MySQL or Postgres would laugh at)
Sends emails when scanned vs returned record ratio is greater than a threshold. Not quite sure how something like this would be different for MySQL/postgres. If an index is missing for you query pattern, wouldn't you create an index in MySQL/postgres?
Earlier quoted context omitted.
What tools are these? Curious as a Postgres user
I've probably tried a dozen or so. For MySQL, I haven't found anything that beats SequelPro. For Postgres, I haven't found anything that comes close to parity, but my favorite is Postico. I know people that swear by IntelliJ for their db stuff, it just never hit home for me personally though.
Earlier quoted context omitted.
You laugh, but I bet Excel produces orders of magnitude more real "business intelligence" than all other "BI" tools combined.
Here is an anecdote. I had to work on a tool that shows what's wrong with an assembly line: missing parts, delays, etc... So that management can take corrective action. Typical "BI" stuff but in a more industrial setting. The company went all out on new technologies. Web front-end, responsive design, "big data", distributed computing, etc... My job was to use PySpark to extract indicators from a variety of data sourc…
Unfortunately which specific features of Excel are acceptable to remove are unknown until you have already way over invested into the project.
The best I've seen this done is having Excel as a client for your data store. Where read access is straightforward and write can be done via csv upload (and heavy validation and maybe history rollback).
That way the business can self-service every permutation of dashboard/report they need and only when a very specific usecase arises do you need to start putting engineering effort behind it.
I suppose you can also supplement the Excel workflow with a pared down CRUD interface for the inevitable employee allergic to excel.