As a GCP user, the synchronization between flat files, cloud buckets and BigQuery makes for very efficient access to data. We are a small team so having a full ETL tool at our disposal without the heavy engineering resource requirements is a big win.
What do you dislike?
Exporting and sharing wrangles is not easy. This creates a risk in that certain jobs or wrangles are limited to a single user vs multiple users.
Recommendations to others considering the product
I would recommend this to any team who needs assistance with cleaning up data for analysis. It's a great tool for analysts and non-technical users who are comfortable with test and learn from the very intuitive workflow.
What business problems are you solving with the product? What benefits have you realized?
We process 100s of GB of Doubleclick Data Transfer data each week and the data is not always present a in format we need. Dataprep has given us a scalable tool that we can process and activate on log level data more efficiently. Cleaning small datasets are made more efficient so its great for small jobs that are repeated regularly.
* We monitor all Cloud Dataprep reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. Validated reviews require the user to submit a screenshot of the product containing their user ID, in order to verify a user is an actual user of the product.