Many organizations struggle to manage and mine data that comes from modern technology platforms. The data arriving into the organization may be in the form of a small amount of very large files, or in the form of millions of very small files arriving every day, or even every minute. Platforms such as Apache Spark™ are seen by data scientists as preferred solutions to manage and process these vast amounts of data to quickly generate insight from data found in distributed file systems. Its ability to work in-memory with extremely large datasets is in part why Spark is included in big data architectures. Altair enables organizations to work efficiently with big data in high-performance computing (HPC), modern processing and storage platforms, and cloud environments. Don’t let difficult data be a barrier to making informed decisions.