Analytics Architecture & Data Pipeline

Second day of official training with DS39!

We started off discussing the difference between 'traditional' and 'modern' analytic architecture. The main difference is that 'traditional' tends to follow a 'waterfall' development: where each stage must be fully completed before moving on. This is a structured approach, whereas the 'modern' architecture is more agile, allowing for continual adaption and development.

We then looked at a data pipeline and where certain software's/practices fit within it.

Finally, we had an hour to create a data pipeline for a company/service of our choice. I chose to do mine on NHS 111 calls, which currently uses Excel for the majority of their data collecting, analysing and recording. I thought about how this could be improved  using different software such as Alteryx and Tableau.

Author:
Amelia Holland
Powered by The Information Lab
1st Floor, 25 Watling Street, London, EC4M 9BR
Subscribe
to our Newsletter
Get the lastest news about The Data School and application tips
Subscribe now
© 2024 The Information Lab