Cloud computing and data integration are hard to break

The most high-profile topic at the moment is cloud computing, a few days ago, with its own insights into the integration challenges of cloud computing and virtualization, Loraine Lawson, a prominent journalist at the IT Business Edge, said in its own report, "an evolution of the Internet 's column makes an in-depth discussion of the cluster problem, and the final conclusion is that inadequate integration will hinder the development of cloud computing and virtualization.

In fact, as far as I'm concerned, the fundamental reason cloud deployments are now constrained is that there is a lack of a systematic understanding of data integration in cloud computing. This is actually a very good problem to solve, but the fact tells us that humans often know later. The point is that many cloud computing providers have never considered integration issues at all. Perhaps they have always felt: "If customers choose the cloud services we provide, then there is no need to synchronize the data back to their own enterprise." After all, we provide the cloud will be the final destination of customer enterprise data. ”

But that is not the case, and their ideas are wrong. In many cases, cloud computing is very practical and can benefit the enterprise, but if you think that there is no need to implement core data integration from the cloud computing platform to the enterprise Local system, some other problems will follow. In fact, there are many important reasons for providing data integration in the cloud computing field. First and foremost, it is important to keep the latest backup of enterprise-related data in the enterprise Local system in order to prevent the challenges caused by the disruption of cloud computing services, runaway cloud services, or the desire of companies to continue to run the business. A similar situation is now occurring frequently and will worsen in the future.

In the case of cloud computing, however, the primary goal of data integration is to help promote processes between enterprise local systems and cloud computing platforms, and to manage data integration within a wide range of geographically disparate platforms. As a result, companies that used to manage systems across the same batch of data centers may face these new challenges when considering cloud computing.

I can say with certainty that these problems are addressed through data integration architectures and policy technologies. This means that you need to take into account all the source and target scenarios, and how to safely and reliably migrate data between these points, taking into account the different aspects of the process. In addition, you need to consider master data management issues, as well as security and data governance.

Some of my suggestions are: first, consider the overall needs of the enterprise. This sounds obvious, but many people deploy cloud computing systems that do not fully understand the overall needs of the enterprise, and secondly, focus on the overall architecture (holistic architecture), enterprise local systems, and cloud computing platforms, including how and how they will exchange data to support core business; Choose the right data integration technology to do this work, and must consider all relevant issues in advance. You will find that there are preset and on-demand two options, and in many cases you may need to blend different solutions.

Cloud computing is inseparable from data integration, only when we do a good job of data integration, we can perform cloud computing. It's very simple, just think hard.

Author Introduction:
David Linskem (David s.linthicum), the chief technology officer of the Bick Group, a leading American enterprise systems integration expert, has focused on cloud-related technology and strategy research over the past 10 years, and how to make cloud computing a better service to modern companies.