Monday, March 31, 2008
Data Integration Challenges
Data integration has become a organization requirement to survive in today's data dominated competitive world. Every organization is looking for quick data integration solution and get the result in less than couple of months and if possible in couple of weeks. This is the biggest challenge for any DI architect and designer to implement a quick solution to meet the higher management goals.
Data Integration is not a package product or solution which can be bought off the self. It is iterative solution which is very customized to organization needs. Every organization has its different setup and requirements. It is very important to understand that on solution implemented at on place can not be ported to different organization and get the end result in few weeks. It is true concept remain the same but approach and implementation are very dependent of individual organizations.
It has been always a topic for debate whether one should use available tools or build the in house code for integration. But now it understood the draw back and cost overhead in long term for the in-house built solutions. Biggest challenge with in house build solution is long term support and maintenance. But I have seen some time due to lack of time and budget ( pressure from higher management) to meet to immediate objectives, architect and designer tend to go for in-house build solution. Because that is the only skill set available at that time and it will be more time taking to get any tool at that time. And if tools are used in such case, it will be used only to satisfy management and tool will not be used effectively.
Data integration has become a organization requirement to survive in today's data dominated competitive world. Every organization is looking for quick data integration solution and get the result in less than couple of months and if possible in couple of weeks. This is the biggest challenge for any DI architect and designer to implement a quick solution to meet the higher management goals.
Data Integration is not a package product or solution which can be bought off the self. It is iterative solution which is very customized to organization needs. Every organization has its different setup and requirements. It is very important to understand that on solution implemented at on place can not be ported to different organization and get the end result in few weeks. It is true concept remain the same but approach and implementation are very dependent of individual organizations.
It has been always a topic for debate whether one should use available tools or build the in house code for integration. But now it understood the draw back and cost overhead in long term for the in-house built solutions. Biggest challenge with in house build solution is long term support and maintenance. But I have seen some time due to lack of time and budget ( pressure from higher management) to meet to immediate objectives, architect and designer tend to go for in-house build solution. Because that is the only skill set available at that time and it will be more time taking to get any tool at that time. And if tools are used in such case, it will be used only to satisfy management and tool will not be used effectively.
Labels: Data Integration Challenges
# posted by Arvind @ 1:45 PM 
