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.
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Previously on "Best paying database developer environment?"
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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.
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Originally posted by Sysman View Post
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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.
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Originally posted by DimPrawn View PostI get these emails everyday....
Originally posted by BobShawadiwadi View PostHi 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.
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Quote Originally Posted by BobShawadiwadi View Post
Hi ya Dim, after some Production doings all the tables have gone the way of Shiva,
as database expert can you please revert with the step by step necessary doings and the way to fix new non functioning back up. Thanks
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Originally posted by DimPrawn View PostAll DB work has gone to India. You're a decade too late.
Originally posted by BobShawadiwadi View PostHi ya Dim, after some Production doings all the tables have gone the way of Shiva,
as database expert can you please revert with the step by step necessary doings and the way to fix new non functioning back up. Thanks
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MongoDB. For the times when you don't really care if your data is there or not.
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I've been testing DB2 BLU with analytics, Postgres, MongoDB, MariaDB along with weird stuff like Redis, Spark, Cassandra, Geode, etc but it really depends on what you want to do with it. DB2 BLU was not bad and Postgres is nice and simple (R/W was slow though)
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I would ask myself this. Should it support 3V's - Volume, Velocity and Variety. If yes, go BigData stack. If you are looking at other DBs then decide if they should support Graphs (e.g. GraphDB) or Relational?
If relational, then Do you need stored procedures, triggers etc.
Your use case would say which one is suitable.
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Mongodb serves certain use cases. It's great but it's overkill for some purposes. sql server and azure will open a lot more doors
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+1
Azure and hybrid are both good options. SQL Server was based on Sybase so should be an easier transition. MongoDB is good for some things but it's very immature in other areas.
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Originally posted by eek View PostFor career opportunities SQL server hybrid (cloud and on-prem)..
qh
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