Should "Data" be in a lake or a reservoir?

Data Lakes are typically visualized as a sink for all data, a place where everything can be put in raw/partially treated format that Data Scientists can use for their analyses. Cost of storage and speed of access is given priority in the design via the end use cases. In this talk, we will discuss how to start conceptualizing a "Data Lake" and execute it to ensure best efficiency from data collection through storage to preparation to analysis to eventual insights delivery.

As the Director of Analytics & A/B Testing within the Digital Product Organization at Visa, Inc. my core responsibility is to enable a Data Driven Decision Making framework for the Leadership and Decision Makers from Product, Marketing, Sales & Operations. I am passionate about the value of data & insights and love sharing the learning via talks at Conferences, blogs on Linkedin and contents on Slideshare.