5 Things That Will Drive Data Integration Over the Next 10 Years
Data integration is growing by leaps and bounds this year. I’m often asked, “Why?” Data integration, as a concept, first came upon the scene 20 years ago. What’s driving today’s rapid growth of data integration?
To answer the question properly, I came up with the 5 top items on my list (in order of importance). While not the only things that drive data integration, they clearly drive the most changes.
We have covered the value of the Internet-of-Things (IoT), and how data integration will be technology that is needed to drive IoT. Because IoT is about gathering data from devices, and acting upon that data, there is a need to get the data from the device to the application or database.
What’s more, the data needs to be transferred at a rapid rate. Data integration technology must employ new high performance approaches to data integration that may have not have existed just a few years ago. Thus, data integration performance is a new necessity.
2) Healthcare Technology
Healthcare is mentioned twice here. First the technology which is emerging, as well as the regulations that are changing the industry.
Healthcare technology is moving from million dollar MRI machines, to one hundred dollar devices we wear to monitor our vitals. While the MRI machines, and other sophisticated diagnostic devices, are still important, the new wearable devices could tell us more about the state of our health than traditional diagnostics.
The key is to deal with the data that these wearable devices produce. The data must be gathered and placed in huge data stores where it can be analyzed in real-time and, and by using new approaches to data analysis, such as predictive analytics. The data can be used to save lives.
3) Healthcare Regulations
Healthcare regulations are the new laws that control patient data privacy, or meaningful use. These laws, both in the US and International, regulate how the data is handled.
Moreover, they also regulate the use of the data, and the ability to finally share and leverage data to support the interest of the patients. Data integration is key to supporting regulations, since the data needs to be protected, manipulated, and shared.
4) Big Data
Core to most of this growth is the emerging use of Big Data. These are massive data stores that need to house real-time as well as historical data. The data could be structured or unstructured, binary or traditional. No matter its structure or location, you need the ability cull through it almost instantaneously to find the required answers.
Big data and data integration are joined at the hip. Big data will have little use unless the data can migrate from the device, human, application, data store, etc., to the Big Data system. Again, volume and performance needs to be part of the data integration solution, and the tools these days have largely stepped up to the task.
5) Other Emerging Technology
So, what else drives data integration? There are a lot of technologies starting to emerge, including smart mobile, connected car, etc., that are making their way to the market. All need data, thus all need data integration.