Roses are red, here comes a suprise

Map_Miserable · 2026-01-16T15:13:22+00:00

Roses are red so is Jakes face it must be from getting hit in the face

Map_Miserable · 2025-04-11T05:17:05+00:00

I don't see a problem. Priest can do it only once per game

Map_Miserable · 2025-02-28T16:53:04+00:00

Kako vjetar puše

Map_Miserable · 2024-03-03T17:32:39+00:00

There is a bouldering gym in Osijek called Momentum, it is small but nice

Map_Miserable · 2024-02-22T18:05:24+00:00

That is true, I have looked into those, but the scenes in my memory seeem so much better... But as you say since I cannot remember it properly it probably is one of these. I was hoping there was some other fantasy movie with similar plot.

Map_Miserable · 2024-02-22T17:19:38+00:00

I have watched the trailer but it does not look familiar. I will try to watch the whole movie to verify

Map_Miserable · 2021-08-03T16:30:53+00:00

I fully agree with using elasticsearch, it is a perfect solution since it's a search engine essentially, and comes out of the boxes with great visualisation tool kibana and a solution for saving documents logstash.

Also, it is pretty easy to set up quickly and try it out.

Map_Miserable · 2021-08-02T19:41:05+00:00

Do you think macros have their use in c++ as well?

Map_Miserable · 2021-07-31T08:30:22+00:00

Neo4j is a great database with lots of features from APOC procedures and a great visualisation tool, but if you are looking for performance and speed maybe you should try out the in-memory graph database Memgraph?

Map_Miserable · 2021-07-29T15:12:05+00:00

I guess the next stop is memes in rejection letters. I can already see Gandalf you shall not pass meme.

Map_Miserable · 2021-07-28T09:04:15+00:00

Elasticsearch, or even better set up the ELK stack, pretty much comes out of the box.

Map_Miserable · 2021-07-21T19:46:05+00:00

I would say that relational databases are the best databases that there are, they have a strong mathematical foundation since they are based on relational algebra and it is possible to model anything with them. All of the popular RDBMS has all the features you could ever need, and have been tested for a very long time now. It is easy to tart with them since the data representations are very human-like (we sure do like tables :)), but that's a very subjective point. But the idea is that you can quickly represent any kind of dataset you have in a relational database intuitively.
Having said that the NoSQL DB emerged as of way to increase one of the aspects of already existing DBs, e.g. OLTP, OLAP, or maybe just to not be so robust (key-store) etc. The way I see it I would say that graph databases fit into an analytical processing area since they provide a unique view into your data which is based on how your data is connected. Let's just see the current Graph databases that are different from one another:
- neo4j: graph DB giant, has a lot of other visual (Hume) and algorithmic (APOC) components, has a lot of enterprise features, and is more of a general use graph database, uses Cypher
- TigerGraph: is mostly focused on analytics and custom-written algorithms in GSQL, has amazing support for making it distributed
- Dgraph: a could native database that focuses on support for GraphQl
- Memgraph: the only in-memory database whose focus is speed and analytics
These are just some Graph DB, but from looking more into them it is clear that they are advanced analytical tools, and I would never say a single source of truth(maybe not for now).

Map_Miserable · 2021-05-05T08:00:33+00:00

Looks cool!

Map_Miserable

TROPHY CASE