Recording brought to you by American Express. https://americanexpress.io/kotlin-jobs What makes Kotlin a great choice for data-driven systems? The fact you can use one common programming language for both data science and data engineering. With Kotlin, you can fill the gap between local exploratory data analysis and deployment of big data models in production. Not to mention that Kotlin is elegant, and its static typing allows creating neat and friendly APIs. In this talk, we’ll make a brief overview of the Kotlin ecosystem as applied to data science, including the tooling and library aspects. Then we’ll go through a practical example covering operations on multidimensional arrays, dealing with data frames, creating charts, and deploying on clusters. The tooling will be presented using #Jupyter, #Zeppelin, and JetBrains’ Big Data Tools. Resources: KotlinConf website: https://jb.gg/fyaze5 KotlinConf on Twitter: https://twitter.com/kotlinconf Kotlin website: https://jb.gg/pxrsn6 Kotlin blog: https://jb.gg/7uc7ow Kotlin on Twitter: https://twitter.com/kotlin JetBrains Big Data Tools: https://www.jetbrains.com/help/idea/big-data-tools-support.html #KotlinConf19 #Kotlin #DataScience #JetBrains About the Presenter: Software Developer @ Kotlin for Data Science Previously: Marketing Manager @ Kotlin Software Developer @ dotMemory