Around the year 2016, I started to put together a better structure to explain storage infrastructure. I started using the word Data Services Platform before what it is today. And I formed a pictorial scaffold to depict what I wanted to share. This was what I made at that time.
Data Services Platform (circa 2016)- Copyright Heoh Chin Fah
One of the reasons I am bringing this up again is many of the end users and resellers still look at storage from the perspective of capacity, performance and price. And as if two plus two equals five, many storage pre-sales and architects reciprocate with the same type of responses that led to the deteriorated views of the storage technology infrastructure industry as a whole. This situation irks me. A lot.
To achieve that, Changi Airport relies on technology and lots of relevant data for deep insights on how to serve its customers better. The details are well described in this old news article.
Keep More Relevant Data for Greater Insights
When I mean more data, I do not mean every single piece of data. Data has to be relevant to be useful.
How do we get more insights? How can we teach systems to learn? How to we develop artificial intelligence systems? By having more relevant data feeding into data analytics systems, machine learning and such.
As such, a simple framework for building from the data ingestion, to data repositories to outcomes such as artificial intelligence, predictive and recommendations systems, automation and new data insights isn’t difficult to understand. The diagram below is a high level overview of what I work with most of the time. Continue reading →