More and more, companies are driving data engineering and analytics projects to optimize their business and unlock the value they are missing out on. These initiatives (i.e. technology projects!) offer unique opportunities for quality engineering, from planning a workable strategy to implementing test automation. Join us as we share our real experiences and recommendations to take on these types of projects.
In Part 1 of the evening, we will discuss some of the typical challenges you may face, and our perspective and approach to mitigating those obstacles.
In Part 2, we will provide a demo of one solution example, using AWS Athena and Dataframes as part of an automation framework written in Python.
As usual, we'll have food, drinks, and networking throughout the meetup. We look forward to seeing you there!