Processing xml files with Hadoop

I'm new to Hadoop. I know very little about it. My case is as follows: I have a set of xml files (700GB+) with the same schema.

    <article>
     <title>some title</title>
     <abstract>some abstract</abstract>
     <year>2000</year>
     <id>E123456</id>
     <authors>
      <author id="1开发者_如何转开发">
       <firstName>some name1</firstName>
       <lastName>some name1</lastName>
       <email>email1@domain.com</email>
       <affiliations affid="123">
        <org>some organization1</org> 
        <org>some organization2</org>
       </affiliations>
      </author>
      <author id="2">
       <firstName>some name2</firstName>
       <lastName>some name2</lastName>
       <email>email2@domain.com</email>
       <affiliations affid="123">
        <org>some organization1</org> 
        <org>some organization2</org>
       </affiliations>
      </author>
      <tags>
       <tag>medicin</tag>
       <tag>inheritance</tag>
      </tags>
     </authors>
     <references>
      <reference>some reference text1</reference>
      <reference>some reference text2</reference>
     </references>
    </article>

I convert the data within the xml files into a relational database containing the following tables

• Articles
• Authors
• Tags
• References

I have a set of tools that work on the tables for generating a list of statistical reports and doing some other staff. Because of a tool that uses a full text search on the References table, I stored it in a Lucene Solr index.

My question is: can I use Hadoop for:

1. Storing the data that is in the xml files
2. Making some kind of separation between the entities listed above(Authors,Articles,Tag and References)
3. Running my tools that perform a very complex set of queries on the data and if that can be done using hadoop, will it be in a good performance?

If Hadoop is not a good candidate for case, will be any other nosql database like MongoDB or Cassandra a better solution (because my big problem with the relational system is the very bad performance with the complex algorithms I'm using to do my job)?

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What you are asking for sounds very similar to what Google, Yahoo, Bing etc do with the web- suck in documents as some form of markup, store them, process them to extract the relevant information, and provide a query interface on top of that. I'd suggest looking into how these search engines leverage MapReduce and BigTable implementations (like HBase and Cassandra) to do exactly that.