The Data Integration Journey to the Cloud
There is little question that the public cloud business is picking up. See the article in CIO Magazine: Why Private Clouds Will Suffer a Long, Slow Death. This is a pretty dramatic title, and sure to capture some eyeballs.
The fact is that public cloud platforms such as Amazon AWS , Microsoft Azure and Google seem to be growing at a pretty impressive clip.
Yet even the article title, if you read it closely, says the process will be long and slow.
Moving to the Cloud: Swift or Slow?
For example, well over 80% of the software applications that Informatica runs its business on are cloud applications at this point. But, not every organization is ready or able to move that quickly. For the vast majority of larger corporations with a great deal of gravity around on-premise applications and data, it will be a long process. Recently I spoke to a bank that had over 100 data warehouses, and thousands of applications that they run their business on. Organizations of that size and complexity will not be able to move to the cloud overnight.
What is your organization’s cloud strategy? It can be anywhere in a range including the following options:
- Buy new applications in the cloud where there is no on-premise application of equivalent functionality
- Hold the current on-premise applications constant and add any new applications in the cloud
- Institute a “cloud-first policy.” The default would be cloud applications and you have to justify deviation from that policy.
- Institute a “cloud-only” policy. This is pretty extreme and I have not seen many F500 companies doing this.
- Or, something different…
Once you have determined your cloud strategy, you can start to scope out the size of the data management challenge you will be dealing with. Different organizations are going to have different journeys and different speeds of implementing them.
Data Integration In a Hybrid World
If you are planning your data integration / data management strategy for this hybrid world, here are some safe assumptions:
- For most large organizations, particularly with a history of on-premise applications and data, it is going to be a long process of change. In the interim, they will be dealing with a highly hybrid environment from a data management point of view.
- Cloud applications will continue to proliferate and grow rapidly. These will need to have data synched and managed with other applications, both on-premise and in the cloud.
- Many organizations will increase their spending on public platform vendors (like AWS,Azure, or Google Cloud Platform). The question is: will they standardize on a single platform, and risk lock-in, or support multiple?
This means that for data management you are going to have to connect to everything, and plan for the fact that “everything” might be on-premise or in the cloud for the foreseeable future. If data management was hard before with the complexity and silos of the data center, it is going to get much harder as the number of cloud applications and platforms grow.
That is why it is going to be really important to use data integration tools that run both on-premise and in the cloud, like PowerCenter, which is available on both AWS and Azure. Check out the new PowerCenter overview video and let us know what you think.
There will be a huge productivity advantage to having the same environment both on-premise and in the cloud. Informatica offers both an “exact-same” experience for experienced data integration developers both on-prem and in the cloud as well as a cloud product that is designed for “citizen integrators.”