In a recent Informatica blog post, internationally recognized industry expert David Linthicum spoke to the health of the data integration industry, describing the top factors that will drive the space over the next 10 years. After reading, I thought it would be a great idea to summarize the column and provide my own take, as I think it can provide value to enterprise organizations.
Data integration is by no means a new tool, it has been used by data-driven organizations for some time. With data volumes of all kinds virtually exploding (no pun intended) in every sector, the need for integration solutions and services has never been greater, and we’re seeing that already. However, there are several factors that will add to DI’s importance moving forward, and the author outlines the top 5 things that will “drive” integration over the next decade. Here they are:
Internet of Things: Simply put, data integration will be the technology behind the IoT revolution. The amount of data that will be created by the millions of devices that will soon be connected to the internet will be responsible for this. Since the IoT will basically be a vast network of collecting data from all of these devices, all of that newly created data will need integration into whatever systems businesses plan to use.
Healthcare tech: Linthicum makes an interesting observation here, saying: “Healthcare technology is moving from million dollar MRI machines, to one hundred dollar devices we wear to monitor our vitals.” Traditional diagnostic testing has its place, but the data generated from those machines can be organized in-house. However, with wearable healthcare technology growing in popularity, the data that will be created as a result will be unlike anything we’ve ever seen in terms of sheer volume. All of this enhances the need for real-time data integration services, technologies that could save us lots of time.
Healthcare regulations: Data integration services will continue to be an increasingly important part to the regulations that police healthcare systems. Data privacy and accuracy are going to be the two main factors here, and the laws that regulate that data will require integration. Linthicum says: “Data integration is key to supporting regulations, since the data needs to be protected, manipulated, and shared.”
Big data: Big data stores use real-time and historical stores of data, just on a massive scale. As Linthicum notes “big data and data integration are joined at the hip.” There is little to take from big data unless we have the ability to transfer it from devices, applications, and data stores to the big data system.
Other emerging technologies: Because we can’t name them all, right? Smart cars, connected homes, even sensor-embedded tennis racquets are just some of the possibilities. Really, anything that needs data, needs data integration.
For the original post, click here.
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