Best paying database developer environment?

[MrMarkyMark]

I get these emails everyday....

Hi Ya Dim, I hope you are well.
My blessed company has just renewed contract, inshallah, this is good doings as we will working together for a very, very, long time.
Shiva has risen from dead. We have managed to revert database and analysis cubes to a previous running state from corporate back up. Nothing will run, do you know anything about indexing doings? Please revert at the soonest.

 

[Sysman]

Hadoop has been discussed and is very fashionable. The main objection seems to be we only have a 10TB database so are not big enough for big data. Though 10TB seems quite large to me - clearly I need to get with the times.

You Are Not Google

 

[SeanT]

You Are Not Google

"Did you know you can buy a terabyte of RAM for around $10,000?" - a month, if using the public cloud...

 

[Brummie]

Hadoop has been discussed and is very fashionable. The main objection seems to be we only have a 10TB database so are not big enough for big data. Though 10TB seems quite large to me - clearly I need to get with the times.

It's not just the Volume that should put you off from using it. Considering that Data is the new oil :-), Do you expect to store and process Unstructured, Semi-structured data (e.g Audio/Video streams, Emails etc)? Do you need transactions (Big data doesn't support transactions)? Do you need real-time analytics? If your use case is Geo then Mongo has a fantastic support for distance calculations and it is way faster than anything I have seen or Do you need to know who is following whom (degrees of separation!) then go with Neo4j, its node traversal is way faster than anything else.

 

[Platypus]

Interesting https://www.theregister.co.uk/2017/06/07/go_small_on_big_data/

 

[AtW]

Sybase to SQL Server might be a lot easier to move.

Sybase to HADOOP will require changing a lot more, since it's not like for like. Chances are HADOOP _might_ be more appropriate/cheaper, but all depends on what you actually doing.

We do use Postgres, seems ok, but 10 TB data is pretty heavy.