Creating and maintaining a single source of truth
Hybrid approach to data storage
Adopting a new database management system
Warehousing and Reports
Such is the world of technology that with every problem, a wide spectrum of solutions comes out each claiming to be solving all the use cases. But as a matter of fact, most of them fail at one point or other. There are multiple reasons for such failures. Some of them are:
The first risk to the success of Data Integration projects is lack of knowledge about the source data that is going to be used to populate the target system. A lack of knowledge means things like:
People assume that data which is used by existing applications will be suitable for a completelydifferent use case. They seem to forget that they have spent years developing and maintaining the existing applications to cope with all non-standard eventualities, and they do not realize that the new use case is unlikely to have the same requirements.
This is one of the most popular topic of debate while talking about new budget friendly, easily scalable and emerging database systems.
Emergence of Non-relational database system from relational database systems is a paradigm shift. And the inertia of comfort makes it difficult to adopt to new architecture. In fact, even after adoption of non-relational system, application architectures are still designed with the mindset of relational systems. To deal with it, a solution is needed which not only gives a way of moving data between relational and non-relational system, but also educates and guides on what needs to be done.
Each enterprise has its own way of handling their data, so the solution has to be custom built.
However, we do understand that there are a lot of issues which are very common and are faced by all.This is the reason why we have adopted a hybrid approach to data integration in our services and solutions.Our feature rich application deals with all the above-mentioned use cases and is highly customizable.It has a very interactive GUI to map data from source to target which suits both relational and non-relational and hybrid data transfer and synchronization. The application not only facilitates with different features, it also guides user to do it effectively, highlighting all the best practices. It has both the capabilities of one time data load and real-time data replication.With custom built powerful data transformer at its core, it provides flexibility and scalability to model data which suits more to customer specific needs instead of having a fixed data modeling approach.And since, it is designed to adapt and scale to future systems, it can be easily molded and customized for any specific use case based on customer demands.