Thorium
Modern business needs for data management have resulted in a surge in the fields of data science, machine learning, and big data platforms. These business needs (e.g. marketing, advertising, and hiring) are essential to both end-products and business critical operations and require large amounts of computational resources. Improper allocation and scheduling of these resources can cost companies millions of dollars per year. Sub-optimal resource allocation is often time consuming to diagnose and requires experienced engineers many weeks to solve. While modern infrastructure-as-a-service platforms, including Amazon Web Services and Google Cloud provide easy interfaces for scaling computational needs, efficient allocation and scheduling of these resources are still necessary to efficiently utilize them. Thorium fills these data management gaps.
