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Your data science team has accumulated a variety of files stored in Google Cloud Storage. These files are intended for use in developing and refining machine learning models. However, the team currently lacks a method to explore, cleanse, and validate the data directly within the Cloud Storage environment. You are tasked with finding a low-code solution that will enable the data science team to efficiently perform data cleansing and exploration tasks within Cloud Storage. What should you do?
A
Provide the data science team access to Dataflow to create a pipeline to prepare and validate the raw data and load data into BigQuery for data exploration.
B
Create an external table in BigQuery and use SQL to transform the data as necessary. Provide the data science team access to the external tables to explore the raw data.
C
Load the data into BigQuery and use SQL to transform the data as necessary. Provide the data science team access to staging tables to explore the raw data.
D
Provide the data science team access to Dataprep to prepare, validate, and explore the data within Cloud Storage.