Capacity modelling for complex data architectures

Nov 2019

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Capacity modelling for complex data architectures

Submitted Mar 1, 2019

Section: Full talk of 40 mins duration Technical level: Intermediate

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.

Outline

Agenda:

Motivators
Approach
Learning

Requirements

A basic understanding of data or analytics platforms and related challenges.

Speaker bio

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.