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From Shahab Yunus <shahab.yu...@gmail.com>
Subject Re: Use Cases for Structured Data
Date Wed, 12 Mar 2014 19:59:34 GMT
Assuming that the following is your initial questions:
*"My question here is how benefits YARN architecture give me in tems of
analysis that my Microsoft, Netezza of Tableau products are not giving me.
I am just trying to understand value of introducing Hadoop in my
Architecture in terms of Analysis apart from data replication."*

YARN is not 'data storage' (hence replication does not matter her) or even
only just 'Analytics'. It is a framework that allows you to write or
implement applications which are based on distributed architecture. In
pre-Yarn world it was Map/Reduce but in YARN now you can not only work on
Map/Reduce based applications but any other distributed paradigm. YARN
helps you in taking care of lots of boiler-plate plus advance plumbing and
infrastructure concerns usually encountered with parallel distributed
applications.

I have not worked in Netezza but from what I understand, Yarn and the
distributed applications build on it are not just for Analytics. They can
be any application which wants to leverage a highly distributed and
parallel architecture and design. So basically YARN is giving you a
environment where you can implement applications using custom (or the
popular Map/Reduce) paradigm to build parallel an distributed applications.

As YARN is open source, so you have much more control over it. You can get
the code and modify it to your own needs which I presume is nota available
or possible in Netezza.

I didn't get what application you are mentioning when you said 'Microsoft'.

Others, experts can chime in.

Regards,
Shahab


On Wed, Mar 12, 2014 at 3:37 PM, ados1984@gmail.com <ados1984@gmail.com>wrote:

> Thank you Shahab but it would be really nice if I can get some input on my
> initial question as it would really help.
>
>
> On Wed, Mar 12, 2014 at 3:11 PM, Shahab Yunus <shahab.yunus@gmail.com>wrote:
>
>> I would suggest that given the level of details that you are looking for
>> and fundamental nature of your questions, you should get hold of books or
>> online documentation. Basically some reading/research.
>>
>> Latest edition of
>> http://www.amazon.com/Hadoop-Definitive-Guide-Tom-White/dp/1449311520 is
>> highly recommended to begin with.
>>
>> Regards,
>> Shahab
>>
>>
>> On Wed, Mar 12, 2014 at 3:07 PM, ados1984@gmail.com <ados1984@gmail.com>wrote:
>>
>>> Hello Team,
>>>
>>> I am starting off on Hadoop eco-system and wanted to learn first based
>>> on my use case if Hadoop is right tool for me.
>>>
>>> I have only structured data and my goal is to safe this data into Hadoop
>>> and take benefit of replication factor. I am using Microsoft tools for
>>> doing analysis and it provides me with good drag and drop functionality for
>>> creating different kind of anaylsis and also it has hadoop drivers so it
>>> can have hadoop as data source for doing analysis.
>>>
>>> My question here is how benefits YARN architecture give me in tems of
>>> analysis that my Microsoft, Netezza of Tableau products are not giving me.
>>> I am just trying to understand value of introducing Hadoop in my
>>> Architecture in terms of Analysis apart from data replication. Any insights
>>> would be very helpful.
>>>
>>> Also, my goal for POC is related to efficient data storage/retrieval and
>>> so
>>>
>>>    1. how does data retrieval work in hadoop?
>>>    2. do i always need to have any kind of data source on top of hdfs
>>>    like hbase/cassandra/mongo or there is not need for one and i can have all
>>>    my data stored in hdfs directly and can retrieve them when i need by using
>>>    different analytic tools that have hdfs as data source?
>>>    3. say if i have 3 node cluster, one master and 2 slaves and if am
>>>    trying to insert data into hadoop then what is the cycle that framework
>>>    performs to install my data into hdfs - does my process reads all meta data
>>>    information from master node about where is my slaves nodes and what kind
>>>    of data should go on which slave node or all data is send to master node
>>>    and from there depending upon meta data information it reads and decides
>>>    that what portion of data should be going to which node?
>>>    4. Also if i have 3 node cluster with 1 master and 2 slaves and if
>>>    my data is equally distributed in two nodes and if i have replication set
>>>    to 2 then where and how will replication take place as i do not have any
>>>    node vacant for doing replication?
>>>    5. Also, for POC, does it make sense to go with Cloudera 3 node free
>>>    cluster or Hortonworks 3 node free cluster or it makes sense to go with
>>>    opensource hadoop version and if we go with open source hadoop version then
>>>    where can we define that which is master node and which is slave node and
>>>    also can we have all 3 nodes on same machine or we need to have all 3 nodes
>>>    on different machines?
>>>    6. Also, what are the pros and cons with going through
>>>    Hortonworks/Cloudera as opposed to Apache Hadoop from initial POC point of
>>>    view?
>>>    7. Also, if we go with Hortonworks/Cloudera then what all tools are
>>>    come clubbed together with Hadoop framework and if we go with Apache
>>>    Hadoop, do we get any tools like Pig, Hive clubbed together or we have to
>>>    install them separately?
>>>
>>> Since am staring off on Hadoop Journey recently, I would really
>>> appreciate if community can point me in right direction?
>>>
>>> Regards, Andy.
>>>
>>
>>
>

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