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Asiri & Arudchelvam



                   6 CONCLUSION                          searches and holds that have been performed
                                                         without proceeding to confirm the booking.
           Increasing  the  speed  of  searching  and    This  way  it  could  be  found  that  whether
       filtering  dynamically  increasing  data  are     there are trends in rejection of booking items
       important  factors  to  maintain  quality  of  a   and apply suitable solutions for them.
       product  and  to  deliver  good  value  added     Identifying  the  trends  would  enable  it  to
       services.  The  most  convenient  and  cost       forecast  the  coming  seasons  and  plan  for
       effective  solution  can  be  identified  as      discount  packages  and  features  to  attract
       migrating  into  a  no  SQL  server  such  as
       Elastic search and use data cubes to filter the   customers.
       data   and   keep    storing   dynamically                      REFERENCES
       increasing  data.  The  suggested  solution
       shows  a  considerable  progress  for  the         What is NOSQL? (2016). Retrieved from
       identified issue.                                   http://yodalearning .com /courses/become-
                                                           a-data-analyst-using-python/lectures/
           The analysis and drawing of the graphs          717394,
       would  be  an  attractive  value  added  service      What is NoSQL? Why NoSQL? When
       provided  to  the  clients  by  TravelBox  and      NoSQL?  Retrieved  from  http://www.
       this  could  be  used  as  a  competitive           bodhtree.com/blog/2013/08/05/what-is-
       advantage.  As  business  intelligence  is          nosql-why-nosql-when-nosql,  on  29/12/
       trending  this  would  be  important  to  be  the   2016
       first mover of the industry.
                                                          Sense  Documentation.  Retrieved  from
           With this solution it will be able to find      https://www.elastic.co/guide/en/sense/curr
       the  most  trending  destinations,  which           ent/index.html, on 05/02/2017
       locations are mostly preferred by which age        Elastic  search:  RESTful,  Distributed
       groups,  what  are  the  most  searched             Search & Analytics, Retrieved from https:
       preferences  and  many  more  criteria  that        //www.  elastic.co/products/elasticsearch,
       would  make  turning  points  in  decision          on 05/02/2017
       making in the businesses.                          Relational  Database  Model.  Retrieved

           In addition to that the search results can      from  https://en.m.  wikipedia.org  /wiki/
       be  used  to  compare  different  operations  in    Relationaldatabase, on 04/01/2017
       the booking flow to identify the amount of

































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