Data Science Workbench Reviews

13 Ratings
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Score 7.4 out of 100

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Reviews (1-2 of 2)

Anonymous | TrustRadius Reviewer
September 15, 2019

Cloudera review

Score 6 out of 10
Vetted Review
Verified User
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Use Cases and Deployment Scope

Cloudera is being used on a 6-node Hadoop cluster used for sandbox demonstrations and development. The business problem it was selected to address was the ability to create Machine Learning models in an enterprise environment based on data lake architecture.
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Bharadwaj (Brad) Chivukula | TrustRadius Reviewer
February 14, 2018

Exciting tool from Cloudera

Score 8 out of 10
Vetted Review
Verified User
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Use Cases and Deployment Scope

  • Used by the Data Science/Engineering Team as a collaboration tool.
  • Combines all the efforts of various departments under a single IDE and provides a holistic view in the retail setting.
  • Use of data to project sales numbers, marketing etc.
Read Bharadwaj (Brad) Chivukula's full review

Data Science Workbench Scorecard Summary

Feature Scorecard Summary

Connect to Multiple Data Sources (1)
6
Extend Existing Data Sources (1)
7
Automatic Data Format Detection (1)
7
MDM Integration (1)
8
Visualization (1)
9
Interactive Data Analysis (1)
9
Interactive Data Cleaning and Enrichment (1)
8
Data Transformations (1)
8
Data Encryption (1)
8
Built-in Processors (1)
7
Multiple Model Development Languages and Tools (1)
9
Single platform for multiple model development (1)
10
Self-Service Model Delivery (1)
10
Flexible Model Publishing Options (1)
10
Security, Governance, and Cost Controls (1)
4

About Data Science Workbench

Cloudera Data Science Workbench enables secure self-service data science for the enterprise. It is a collaborative environment where developers can work with a variety of libraries and frameworks.
Categories:  Hadoop-Related,  Data Science

Data Science Workbench Technical Details

Operating Systems: Unspecified
Mobile Application:No