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       Proceedings of the 9  Symposium on Applied Science, Business & Industrial Research – 2017
       ISSN 2279-1558, ISBN 978-955-7442-09-9

           Increasing the Speed of Searching Process in Mysql Database for Dynamic
                                                   Data

                                         Asiri DVLN, Arudchelvam T
                  Department of Computing and Information Systems, Wayamba University of Sri Lanka
                                            Lukynuwan@gmail.com

                                               ABSTRACT

              TravelBox  is  a  commercial  software  developed  by  a  software  company,  for  the
       purpose of managing inventory related to travel and tour industry. It enables the large tour
       operators  to  handle  their  products,  bookings,  suppliers  and  contracts  in  a  dynamic
       behaviour. This study examined the area of business intelligence capabilities of TravelBox
       technology  by  enhancing  the  management  and  analysis  of  statistical  data  which  gives
       information on the bulk data transactions done through TravelBox servers.


       KEYWORDS:  Business  intelligence,  Data  cubes,  Dynamic  storage,  Efficiency,  NOSQL
       solutions, Search speed

                  1 INTRODUCTION                         system, there will be a minimum of 11GB of
                                                         data stored per week in the peak season and
           In  TravelBox  technology,  there  are        the database which is used by TravelBox to
       many  categories  of  statistical  data  used.    store  the  statistical  data,  will  exceed  its
       According to the user manuals and technical       capacity      within  3  weeks’  even  if  the
       documentations,  statistical data, transaction    enterprise  edition  used.  These  figures  are
       data and result data are a few of them. These     taken  from  the  Support  Engineers  who
       data can be used to analyze the performance       monitor and analyze the databases.
       of  each  operation,  identify  the  bottlenecks,
       identify the variations among search criteria         Therefore, it is obvious that the current
       and  help  decision  making  in  business         capacity of data storage which cannot store
       intelligence environment.                         more than 3 weeks of data is not capable of
                                                         producing an effective statistical analysis or
           When  it  comes  to  the  business            conclusion. To make a considerable analysis
       requirement, the IT industry shows a future       and  business  intelligence  information,  it  is
       of  information  analysis  and  business          needed at least 1 to 3 years data.
       intelligence to identify patterns and seasonal
       variations  in  businesses.  These  are  value        This is a bottle neck for the analysis and
       added services a business customer expects        decision making process of the client. And it
       from  a  software  solution.  The  search  and    would  be  a  competitive  feature,  if  the  data
       transaction  data  are  the  most  critical  and   can  be  filtered  and  sorted  as  it  increases
       valuable categories of statistical data. Search   dynamically.  The  objective  is  to  find  a
       actions  give  most  of  the  end  user           feasible  solution  to  store  dynamically
       experience.  And  the  transactions  data  are    increasing  bulk  of  data  and  to  enhance  the
       related to the data exchange with the Oracle      performance  of  searching  process  in  the
       database  which  directly  affects  on  the       data.
       performance  of  the  software.  TravelBox                2 LITERATURE REVIEW
       endpoints are accessed by multiple numbers
       of users at a time.                                   Relational databases were introduced in
                                                         the  1970s  and  they  were  used  as  the
            Therefore,  transaction  management  is
       important since the data should be available      traditional  databases  that  follow  ACID
                                                                          Consistency,
                                                         (Atomicity,
                                                                                           Isolation,
       on time with the right relevance. In the Live     Durability)  nature  and  allow  different
       production  environment  of  the  current
                                                         applications to store data using standard data

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