Next proposalConProf: Continuous profiling for the rest of us
Capacity modelling for complex data architectures
Submitted by Mayank Verma (@mayankverma22) on Friday, 1 March 2019
Section: Full talk of 40 mins duration Technical level: Intermediate Status: Rejected
Data platforms are common place in the world today. Businesses prefer data driven decisions and hence want data they generate or consume curated in an analytics platform. This essentially means that as new business flows go live, they need to be onboarded to the data platform.
This talk will present a perspective on how capacity requirements for a data platform can be modelled. To put is very simply, we will present an approach to answer the number of additional boxes required to accommodate a new business flow.
- Motivators - Approach - Learning
A basic understanding of data or analytics platforms and related challenges.
Mayank was born lazy. He likes to believe that he has changed, but, in his heart, he knows he hasn’t. He prefers automating tasks instead of doing them. He is currently building data platforms at Flipkart which enable precise and real time visibility of Flipkart’s fulfillment network.