Hi Jeff,

Please look at [1] . You can store your data in HBase tables and query them
normally just by mapping them to Hive tables. Regarding Cassandra support,
please follow JIRA [2], its not yet in the trunk I suppose!

[1] https://cwiki.apache.org/Hive/hbaseintegration.html
[2] https://issues.apache.org/jira/browse/HIVE-1434

Thanks,

On Sun, Nov 25, 2012 at 2:26 AM, jeff l <[EMAIL PROTECTED]> wrote:

> Hi All,
>
> I'm coming from the RDBMS world and am looking at hdfs for long term data
> storage and analysis.
>
> I've done some research and set up some smallish hdfs clusters with hive
> for testing but I'm having a little trouble understanding how everything
> fits together and was hoping someone could point me in the right direction.
>
> I'm looking at storing two types of data:
>
> 1. Append-only data - e.g. weblogs or user logins
> 2. Account/User data
>
> HDFS seems to be perfect for append-only data like #1, but I'm having
> trouble figuring out what to do with data that may change frequently.
>
> A simple example would be user data where various bits of information:
> email, etc may change from day to day.  Would hbase or cassandra be the
> better way to go for this type of data, and can I overlay hive over all (
> hdfs, hbase, cassandra ) so that I can query the data through a single
> interface?
>
> Thanks in advance for any help.
>

--
Regards,
Bharath .V
w:http://researchweb.iiit.ac.in/~bharath.v

Hi Jeff,

        As HDFS paradigm is "Write once and read many" you cannot be able
to update the files on HDFS.
        But for your problem what you can do is you keep the logs/userdata
in hdfs with different timestamps.
        Run some mapreduce jobs at certain intervals to extract required
data from those logs and put it to Hbase/Cassandra/Mongodb.

        Mongodb read performance is quite faster also it supports ad-hoc
querying. Also you can use Hadoop-MongoDB connector to read/write the data
to Mongodb thru Hadoop-Mapreduce.

        If you are very specific about updating the hdfs files directly
then you have to use any commercial Hadoop packages like MapR which
supports updating the HDFS files.

Best,
Mahesh Balija,
Calsoft Labs.
On Sun, Nov 25, 2012 at 9:40 AM, bharath vissapragada <
[EMAIL PROTECTED]> wrote:

> Hi Jeff,
>
> Please look at [1] . You can store your data in HBase tables and query
> them normally just by mapping them to Hive tables. Regarding Cassandra
> support, please follow JIRA [2], its not yet in the trunk I suppose!
>
> [1] https://cwiki.apache.org/Hive/hbaseintegration.html
> [2] https://issues.apache.org/jira/browse/HIVE-1434
>
> Thanks,
>
>
> On Sun, Nov 25, 2012 at 2:26 AM, jeff l <[EMAIL PROTECTED]> wrote:
>
>> Hi All,
>>
>> I'm coming from the RDBMS world and am looking at hdfs for long term data
>> storage and analysis.
>>
>> I've done some research and set up some smallish hdfs clusters with hive
>> for testing but I'm having a little trouble understanding how everything
>> fits together and was hoping someone could point me in the right direction.
>>
>> I'm looking at storing two types of data:
>>
>> 1. Append-only data - e.g. weblogs or user logins
>> 2. Account/User data
>>
>> HDFS seems to be perfect for append-only data like #1, but I'm having
>> trouble figuring out what to do with data that may change frequently.
>>
>> A simple example would be user data where various bits of information:
>> email, etc may change from day to day.  Would hbase or cassandra be the
>> better way to go for this type of data, and can I overlay hive over all (
>> hdfs, hbase, cassandra ) so that I can query the data through a single
>> interface?
>>
>> Thanks in advance for any help.
>>
>
>
>
> --
> Regards,
> Bharath .V
> w:http://researchweb.iiit.ac.in/~bharath.v
>

Hi Jeff,

My two cents below:

1st use case: Append-only data - e.g. weblogs or user logins
As others have already mentioned that Hadoop is suitable enough to store
append only data. If you want to do analysis of weblogs or user logins then
Hadoop is a suitable solution for it.
2nd use case: Account/User data
First, of all i would suggest you to have a look at your use case then
analyze whether it really needs a NoSql solution or not.
As you were talking about maintaining User Data in NoSql. Why NoSql instead
of RDBMS? What is the size of data? Which NoSql features are the selling
points for you?

For real time read writes you can have a look at Cassandra or HBase. But, i
would suggest you to have a very close look at both of them because both of
them have their own advantages. So, the choice will be dependent on your
use case.

One added advantage with HBase is that it has a deeper integration with
Hadoop ecosystem so you can do a lot of stuff on HBase data  using Hadoop
Tools. HBase has integration with Hive querying but AFAIK it has some
limitations.

HTH,
Anil Gupta
On Sun, Nov 25, 2012 at 4:52 AM, Mahesh Balija
<[EMAIL PROTECTED]>wrote:

> Hi Jeff,
>
>         As HDFS paradigm is "Write once and read many" you cannot be able
> to update the files on HDFS.
>         But for your problem what you can do is you keep the logs/userdata
> in hdfs with different timestamps.
>         Run some mapreduce jobs at certain intervals to extract required
> data from those logs and put it to Hbase/Cassandra/Mongodb.
>
>         Mongodb read performance is quite faster also it supports ad-hoc
> querying. Also you can use Hadoop-MongoDB connector to read/write the data
> to Mongodb thru Hadoop-Mapreduce.
>
>         If you are very specific about updating the hdfs files directly
> then you have to use any commercial Hadoop packages like MapR which
> supports updating the HDFS files.
>
> Best,
> Mahesh Balija,
> Calsoft Labs.
>
>
>
> On Sun, Nov 25, 2012 at 9:40 AM, bharath vissapragada <
> [EMAIL PROTECTED]> wrote:
>
>> Hi Jeff,
>>
>> Please look at [1] . You can store your data in HBase tables and query
>> them normally just by mapping them to Hive tables. Regarding Cassandra
>> support, please follow JIRA [2], its not yet in the trunk I suppose!
>>
>> [1] https://cwiki.apache.org/Hive/hbaseintegration.html
>> [2] https://issues.apache.org/jira/browse/HIVE-1434
>>
>> Thanks,
>>
>>
>> On Sun, Nov 25, 2012 at 2:26 AM, jeff l <[EMAIL PROTECTED]> wrote:
>>
>>> Hi All,
>>>
>>> I'm coming from the RDBMS world and am looking at hdfs for long term
>>> data storage and analysis.
>>>
>>> I've done some research and set up some smallish hdfs clusters with hive
>>> for testing but I'm having a little trouble understanding how everything
>>> fits together and was hoping someone could point me in the right direction.
>>>
>>> I'm looking at storing two types of data:
>>>
>>> 1. Append-only data - e.g. weblogs or user logins
>>> 2. Account/User data
>>>
>>> HDFS seems to be perfect for append-only data like #1, but I'm having
>>> trouble figuring out what to do with data that may change frequently.
>>>
>>> A simple example would be user data where various bits of information:
>>> email, etc may change from day to day.  Would hbase or cassandra be the
>>> better way to go for this type of data, and can I overlay hive over all (
>>> hdfs, hbase, cassandra ) so that I can query the data through a single
>>> interface?
>>>
>>> Thanks in advance for any help.
>>>
>>
>>
>>
>> --
>> Regards,
>> Bharath .V
>> w:http://researchweb.iiit.ac.in/~bharath.v
>>
>
>
--
Thanks & Regards,
Anil Gupta

If you need to run fast queries on your 'Account/User data' then you got to
use a nosql solution. If you only constraint is frequent updates you may
still manage to keep the data in hdfs, just rewrite it everytime there is
change. So the key consideration is whether you want to run fast queries
you are fine with offline slow queries of the hdfs data.

On Sat, Nov 24, 2012 at 12:56 PM, jeff l <[EMAIL PROTECTED]> wrote:

> Hi All,
>
> I'm coming from the RDBMS world and am looking at hdfs for long term data
> storage and analysis.
>
> I've done some research and set up some smallish hdfs clusters with hive
> for testing but I'm having a little trouble understanding how everything
> fits together and was hoping someone could point me in the right direction.
>
> I'm looking at storing two types of data:
>
> 1. Append-only data - e.g. weblogs or user logins
> 2. Account/User data
>
> HDFS seems to be perfect for append-only data like #1, but I'm having
> trouble figuring out what to do with data that may change frequently.
>
> A simple example would be user data where various bits of information:
> email, etc may change from day to day.  Would hbase or cassandra be the
> better way to go for this type of data, and can I overlay hive over all (
> hdfs, hbase, cassandra ) so that I can query the data through a single
> interface?
>
> Thanks in advance for any help.
>