Assessing batch-processed analytics of anonymized rideshare data

Sharing my experience of a successful big data implementation using some of the most prominent analytic tools for data storage, management, visualization, and batch ETL processing.

The City of Chicago is the first city in the country to publish anonymized rideshare data from companies including Uber, Lyft, and Via. Such ride-hailing platforms heavily rely on data-driven decisions at many levels to deliver safe and reliable transportations. I explore a Big Data solution with the public dataset in contemplation of the need for insights that have resulted in petabytes of analytical data.

The proposed distinct phases of my solution are the following:

• Creating a Data Strategy for meaningful insights
• Building a…