As the use of both public and private cloud-based platforms has grown rapidly, data integration has become an important issue. Information is no more restricted to local storage, but now can be easily spread across public cloud providers and several enterprise systems existing within the cloud.
Currently the focus lies on simple process of replicating data from public cloud to an on-premise system and cloud to cloud when we talk about computing related data integration. In this process, data integration technology is used to synchronize enterprise data between on-premise systems and cloud. For example, DBSync works as an integration platform for companies who want to synchronize their data that resides in a SaaS-delivered CRM platform with the company’s delivery system residing within the enterprise. DBSync makes sure that the data matches in both the systems.
But what we are talking about right now is the path of data integration today. With the rapid growing cloud computing space, there are still paths unexplored and we believe that the traditional approach, i.e. simple data replication and integration will soon become outdated over next 5-6 years or so.
Data integration technologies have the potential to disrupt the existing marketplace.
The perception of “knowing and understanding about data” will soon be wronged as the technology providers will thrive to meet up with the updated cloud-platforms, data strategies and approaches.
As the year ends and we look forward to an emerging path to success for data integration technology providers, let’s have quick glance over few data integration capabilities that hold the potential to make it big for all in the year 2015.
Intelligent Data Service Discovery
It is a data integration technology that automatically finds and defines data services that are the main mechanism to assimilate as well as produce data from existing cloud and non-cloud systems. Through this mechanism, we can find all information about the data services used within an enterprise as well as the cloud. This will help the enterprises leverage the most meaningful data services that can support their business process.
Data Virtualization
Data virtualization has become very popular as enterprises are trying to redefine existing databases. Existing databases can be replaced by new virtual database structure. This will save time, energy and money as the enterprises do not have to rebuild the back-end databases for updating according to the new cloud-based systems.
Data Orchestration
Data Orchestration refers to the ability to define how the data interacts and combines to form solutions. Enterprises leveraging data orchestration will have a more control over the data means for each application view. This will keep the physical structure and data content intact.
Data Identity
Data identity is the ability to link data, both structure and data instances, to humans as well as machines. It monitors and controls who or what can use the data, and see the contents. This makes the internal data more secure as security policies can be easily defined.
These are mere predictions, but definitely noteworthy and worth being worked upon. Those who can adopt and update themselves with these rising demands and practices will thrive and survive. Those who won’t may soon see a fall. The year 2015 will experience a solid growth for data integration around cloud and big data.
