Data Science on the JVM with Kotlin and Zeppelin
Presented by: Pratik Patel
The world of Data Science heavily uses Python and Python libraries such as NumPy and Pandas. While Python is a great platform, it does have some drawbacks - one of which is performance. As Java developers, we enjoy the familiarity of the JVM and the constellation of tools and libraries available for this high-performance platform.
In this session, Pratik will introduce you to Data Science using the popular Kotlin language that runs on the JVM. We'll do this using an interactive platform called Apache Zeppelin. Similar to Jupyter Notebooks, Zeppelin allows you to write code, formatted text, and use a myriad of plugins to process, analyze, and display data. With its integration with Spark, you can also prototype and develop solutions for Big Data in a fun and interactive way!