Tallan’s Modern Data Science Platform increases the success rate of data science projects by simplifying data engineering workloads and reducing time to production while also providing better security, governance, and observability of your data science ecosystem.
Reduce unintended duplication of large data engineering workloads.
Reduce time to production and increase success rate of data science projects.
Increase security, governance, and observability of your data science ecosystem.
Microsoft Azure is the perfect base for your modern data science platform. Interconnected platform services enable productive collaboration between data scientists and engineers, and secure data services reduce the risk of data breaches while enabling your people to access what they need, when they need it.
Azure Machine Learning Studio offers secure managed compute resources and data access alongside straightforward ways of tracking and deploying your data science workloads in batch or real time. These features help reduce your time to ROI by months.
Databricks provides a unified analytics platform with a powerful Apache Spark engine, offering near limitless scale for your data science workloads alongside a user-friendly python, spark, and SQL notebook experience. It also has inbuilt workload and experiment tracking, and simple deployment options.
