3 Data Integration Trends You Should Track
Anyone who tracks data integration long-term will tell you there are some new trends on the rise. For example, the movement to B2B data integration, as well as the use of data integration around compliance, such as HIPAA.
Those trends are here to stay, but there is always something new around the corner. For those who implement data integration within the enterprise, it’s important to track these trends. Some could need further exploration, and perhaps some new investments.
So, what are the trends that you should be tracking right now? Here are three that come to mind for 2016 and 2017:
First, the big data thing continues. We’ve talked about this trend for awhile, but the use of data integration within big data systems continues to explode. This is due to the fact that you’re pretty much moving gobs of data from source to target, even doing combine and aggregation operations.
This is unlike traditional data warehousing, in that big data systems may operate in real time or near real time. Data needs to arrive the instant it’s needed, and there is no longer a huge amount of off-line processing that occurs in support of the database.
Second, the growth of data integration in support of the Internet of Things (IoT). We’ve written a great deal here about IoT and data integration, so I’m not going to belabor the point. However, the growth of IoT drives the demand for data integration technology that, in turn, provides the means to move data from the sensors and devices to systems that can process the data.
IoT will be pretty much systemic to so many things that it’s difficult to categorize this technology, as of yet. However, as more and more things spin off data, the more that data integration needs to be a part of the process. Beyond big data and cloud computing, this is going to be the largest growth driver for data integration over the new few years.
Third, the growth of complex regulations that surround the use of data. In health care, we now have a “meaningful use” standard, which is the use of certified Electronic Health Record (EHR) technology to: Improve quality, safety, efficiency, and reduce health disparities. This means data, and thus this means data integration.
Other regulations continue to arise that deal with data, such as health regulations in Europe, Sarbanes Oxley reporting, financial reporting regulations, and the list gets longer each year. Common patterns of data integration in support of regulation includes the ability to secure data in flight, as well as make sure that logs are kept of data movement, and that the data integration procedures are followed.
These trends are happening now; it’s not just a prediction. If data integration is a part of your job, you should study these trends and understand the value that they could bring to your organization.