Integration of Things
Author: Stephen (Kai) Sui CEO
Date: 6th June 2016
There are lots of stories and excitements about the Internet of Things (IoT). The ubiquitous mobile devices will outgrow the human population by 2020, with an impact many times the Internet itself. For my personal data points, I now own many connected devices and gadgets. And imagine the amount of Big Data flowing back and forth of this labyrinth of information and the potential that comes with it.
There is also so much talk about Big Data Analytics but Big Data is like teenage sex – everybody talks about it but nobody understands exactly what it is. In my opinion, Big Data begins with connectivity. At the end of the day, Big Data and IoT really have to deal with data integration and data acquisition problems first, and challenges of Big Data analytics only come second.
Working with growing amounts of information impacts your complete environment. When it comes to turning your Big Data plans into reality, the ability to integrate and manage your data streams is key. There are many challenges in flexibility, connectivity and performance.
Basic requirements for data integration.
Missing today is a focus on treating Big Data as an asset. The IoT presents a strong use case of Big Data, and IoT will increase the need for making Big Data a mission-critical, vital part of your information technology architecture.
In order to ensure Data Quality, Consistency of Meta-Data and Master Data Management, we need to analyse, identify, act and standardise the inputs and outputs of all this Big Data. This is essential to raise the maturity level of Big Data solutions to handle Real-time, Mobile and IoT. In essence, the vital part of all these rests on another kind of IoT – The Integration of Things.