The perfect analytics and data science platform for your Cloudera Data Platform
Use Cases and Deployment Scope
Cloudera Data Science Workbench (CDSW) is mainly being used by data engineers in the IT department for Big Data Analytics pipeline from ingestion until feature extraction phase. It is also being used by data scientists in Analytics department for building machine learning models. On top of that, it is also used by business analyst in Big Data Monetization business units for exploration and reporting. CDSW reduces time to market from exploring, modeling, and deploying to production.
Pros
- Enterprise grade security.
- Self-service analytics platform.
- Popular programming support.
Cons
- Lacks features offered by competition.
- Limited license scheme options.
- Installation in production can be challenging.
Likelihood to Recommend
Organizations which already implemented on-premise Hadoop based Cloudera Data Platform (CDH) for their Big Data warehouse architecture will definitely get more value from seamless integration of Cloudera Data Science Workbench (CDSW) with their existing CDH Platform. However, for organizations with hybrid (cloud and on-premise) data platform without prior implementation of CDH, implementing CDSW can be a challenge technically and financially.
