Reviews (1-2 of 2)
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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The use cases are specific to my industry, and we’re implemented for experimentation and scoring of predictive models.
February 14, 2018
Score 8 out of 10
- 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.
- One single IDE (browser based application) that makes Scala, R, Python integrated under one tool
- For larger organizations/teams, it lets you be self reliant
- As it sits on your cluster, it has very easy access of all the data on the HDFS
- Linking with Github is a very good way to keep the code versions intact
- Not as great as RStudio; lacks some features when compared with it
- It is quite simple still (because its very early in its initiative), and companies may want to wait until they see a more developed product
Read Bharadwaj (Brad) Chivukula's full review
- If you already have a Cloudera partnership and a cluster, having this is a no brainer.
- It integrates well with your existing ecosystem and it immediately starts working on projects, accessing full datasets and share analysis and results.
- With the inclusion of Kubernetes, CPU and memory across worker nodes can be managed effectively.
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