A Data Science Workbench is an enterprise data science platform that leverages data visualization and data analytics by providing a familiar environment for model building, making use of the data within the enterprise.
It provides a complete solution for data exploration, analysis, modeling, and visualization. Key features of a data science workbench include:
- A collaborative hub for enterprise data science with isolated projects, secure collaboration, and simple dependency management
- Integrated development environment for Python, R, and Scala with support for Spark 2 and connectivity to secured Hadoop clusters
- Lightweight job and pipeline system for data science workloads that supports real-time monitoring, results tracking, and email alerting
Data science teams are looking for ways to bring these tools to their data. This whitepaper will talk about how you can do so.