The IDEA Analytics platform is designed to perform complex analytics and data transformations across large and diverse datasets in a secure and reliable way. The platform provides research teams access to a range of open-source tools, including Hadoop and Spark, hosted on a highly scalable infrastructure specifically designed for large analytics workloads. In addition to well-known Hadoop applications such as Pig, Hive, and HBase, specialized machine learning and natural language processing tools are also integrated into the solution. The platform will be presented together with a demo on how to use it with PySpark in Jupiter and SparklyR in RStudio.