Dataprep Google Professional Data Engineer GCP

an intelligent cloud data service to visually explore, clean, and prepare data for analysis and machine learning.
Use to explore and transform raw data from disparate and/or large datasets into clean and structured data for further analysis and processing.
Automatic Anomaly detection in schema, type, distributions and missing/mismatched values.
Performs Predictive transformation to interpret the data transformation intent of a user’s data selection.
Offers Rich transformations or hundreds of transformation functions
Offers Parameterization if executing a recipe across multiple instances of identical datasets
Has Collaboration for team environments
Utilize columnar pattern matching to identify data patterns of interest
Group values by similarities based on spelling or language-independent pronunciation.
Offers visual representations to interpret large volumes of data.
Automatically generate samples for performance optimization
Enables to schedule recipes execution in flows on a recurring or as-needed basis.
Recipes done using wrangler or automatic suggestions can be used
Can define target schemas, through imported or created datasets, and assign to an existing recipe to systematize and speed up wrangling efforts.
Supports common data types – structured or unstructured datasets in CSV, JSON, or relational table formats.
Integrated with Google Cloud Platform