Vinoo Ganesh

As the scale of data continues to grow (alongside an ever expanding ecosystem of tools to work with it), developing successful applications is an increasingly challenging proposition—and a necessity. At each stage of the process, from architecting to processing and storing data to deployment, there are a range of aspects to consider. Things like scalability, consistency, reliability, efficiency, and maintainability. It can be hard to figure out the right way forward.

In this episode of The Data Standard, Catherine Tao and Vinoo Ganash talk about large-scale data and data processing challenges. Vinoo starts the conversation by explaining his current obligations and how his company uses data to find working solutions for a wide range of problems. Then he talks about OLTP and OLAP models and how large-scale data can help improve workflows and offer better results. Optimization is needed for every specific application, and Vinoo talks about the methods he uses to enhance existing platforms.

In a world where compute is paramount, it is all too easy to overlook the importance of storage and IO in the performance and optimization of Spark jobs. In reality, the choice of file format has drastic implications to everything from the ongoing stability to compute cost of compute jobs. These file formats also employ a number of optimization techniques to minimize data exchange, permit predicate pushdown, and prune unnecessary partitions.

I built an app to help Wash U Students get around campus! Check out the story / link below. An engineering undergraduate student at Washington University in St. Louis helped create and launch a mobile app that helps students track the campus circulator shuttle. Vinoo Ganesh, a senior majoring in computer science in the School of Engineering & Applied Science, developed the real-time tracking app, titled “WUSTL Circulator.” The app also shows the circulator’s route and stopping points along with a full schedule that students can browse.

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