- Visitors can check out the Forum FAQ by clicking this link. You have to register before you can post: click the REGISTER link above to proceed. To start viewing messages, select the forum that you want to visit from the selection below. View our Forum Privacy Policy.
- Want to receive the latest contracting news and advice straight to your inbox? Sign up to the ContractorUK newsletter here. Every sign up will also be entered into a draw to WIN £100 Amazon vouchers!
Best paying database developer environment?
Collapse
X
-
-
You Are Not GoogleOriginally posted by BrilloPad View PostHadoop 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.Behold the warranty -- the bold print giveth and the fine print taketh away.Comment
-
"Did you know you can buy a terabyte of RAM for around $10,000?" - a month, if using the public cloud...Originally posted by Sysman View PostComment
-
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.Originally posted by BrilloPad View PostHadoop 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.Comment
-
-
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.Comment
- Home
- News & Features
- First Timers
- IR35 / S660 / BN66
- Employee Benefit Trusts
- Agency Workers Regulations
- MSC Legislation
- Limited Companies
- Dividends
- Umbrella Company
- VAT / Flat Rate VAT
- Job News & Guides
- Money News & Guides
- Guide to Contracts
- Successful Contracting
- Contracting Overseas
- Contractor Calculators
- MVL
- Contractor Expenses
Advertisers



Comment