Which Cloud Pak for Data service is used to cleanse and shape tabular data?

Data Refinery is a self-service data preparation client within IBM Cloud Pak for Data designed for data scientists, data engineers, and business analysts. It provides a graphical interface and a rich set of operations to discover, cleanse, and transform raw, tabular data into a consumable, high-quality format ready for analysis or machine learning model training. Users can build interactive data preparation flows that can be scheduled and run on large data sets.

A. Data Manager: This is a generic term. While Cloud Pak for Data has data management capabilities, "Data Manager" is not the specific service name for interactive data cleansing and shaping.
B. Watson Data: "Watson Data" is a broad branding concept for IBM's data and AI portfolio, not a specific, invokable service within Cloud Pak for Data for data preparation.
D. Data Wrangler: This is a functional description of the task (data wrangling). While Data Refinery performs data wrangling, "Data Wrangler" is not the official name of the IBM service.

1. IBM Cloud Pak for Data 4.8 Documentation, "Data Refinery". This official documentation states, "Use Data Refinery to discover, cleanse, and transform your data with a graphical flow editor. You can also use templates to standardize formats and data refinery flows in your projects."

2. IBM Cloud Pak for Data 4.8 Documentation, "Refining data". This section explicitly details the purpose: "You refine data to cleanse and shape it to suit your needs. You work with a sample of the data to interactively develop a set of steps, in the form of a Data Refinery flow."