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766 Review
57 Karma

Review on CDAP by Michael Hale

Revainrating 4 out of 5

Easy-to Use Tool For Building Machine Learning Pipelines

Very easy to get started, nice GUI for creating connectors, connectors are very easy to create and maintain, the CDAP is very well integrated with all the major BI and Data Science tools. The CDAP is slow and sometimes we need to wait for few minutes to get the response. The performance of CDAP is not so good. Try using CDAP on your data science projects and see the difference. We are solving the problem of data cleansing and data transformation using CDAP. We are doing ETL and data cleansing using CDAP. The main benefit is the simplicity and ease of use of the dataflow. It is very flexible so it can be used for many different applications. I dislike the lack of documentation and also the support can be sometimes lacking. I have used CDAP in multiple projects and it has been very helpful in solving many problems related to the dataflow. It is a great tool for data scientists and machine learning engineers that are familiar with R.

img 1 attached to CDAP review by Michael Hale



Pros
  • It is an easy tool to implement and maintain for the data engineer
Cons
  • It is a slow tool and it can take some time to execute the pipelines