In a scenario where you are working on a machine learning project that requires the use of multiple data sources, explain how you would use Databricks to ingest data from various sources, such as CSV files, JSON files, and databases, and perform data preprocessing and cleaning tasks.

Simulated

Databricks can only read data from CSV files and databases, but not from JSON files.

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Databricks can read data from various sources, but data preprocessing and cleaning tasks can only be performed using Python or Scala.

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Databricks can read data from various sources, such as CSV files, JSON files, and databases, using built-in libraries and connectors. Data preprocessing and cleaning tasks can be performed using Databricks notebooks and the available machine learning libraries.

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Databricks can only read data from databases, and data preprocessing and cleaning tasks can only be performed using SQL queries.

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In a scenario where you are working on a machine learning project that requires the use of multiple data sources, explain how you would use Databricks to ingest data from various sources, such as CSV files, JSON files, and databases, and perform data preprocessing and cleaning tasks.