In recent times, for every business, the associated data volume has been quite large and complex in nature. The sources that generate these data are quite important and need to be understood by businesses, and according to the data pattern, businesses need to realign or take important decisions. However, the data types originated from diverse sources are not similar; hence, every organization needs its data handling capacity to grow up to use the heterogeneous data source by implementing a modern data integration tool that is able to optimize the data management capabilities and strategies. The data generated from scattered sources are heterogeneous in nature and holds different formats of data; hence, it is quite complex to apply business rules and perform data analysis. Hence, choosing the right data integration tool to keep up with the changing pace and apply automation features is quite important to driving the data integration space. These features should be able to reduce the overall project development time and easily outline complex business areas. Data integration tools are capable of moving sets of data from various sources; they sometimes apply themselves to a few business rules and other times they don’t change, but the metadata around the data changes from source to target system. Meeting these norms is quite complex and tedious sometimes where integration tools came to a savior.
By Bhabani Prasad Upadhyaya
Senior Architect-Practice-GP-App Services & Cloud
