Dev Conference by Neo4j
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Session Track: Data Science
Session Time:
Session description
In this session, we will explore how graph databases can be leveraged to gain deeper insights from software logs. This session is designed for developers and product owners who grapple with analyzing large volumes of log data. We will discuss a practical system built on graph databases that extracts insights on the most used features and pain points. You will gain a comprehensive understanding of how graph databases can revolutionize log analysis, enabling you to identify the most frequently used features of your software, uncover user behavior patterns and pain points, and make data-driven decisions to optimize your product.
Software Engineer, Sabre India
Aniruddha Chatterjee is a software developer at Sabre India, currently pursuing an MSc in Computer Science at the University of Texas at Austin. Their passion for data analysis began with research on graph databases during their undergraduate studies. This passion for innovation is evident in their win at the Smart India Hackathon 2022, alongside other hackathon successes. Aniruddha is also known for building strong technical communities within their college, fostering a collaborative learning environment.
