Databricks Cloud Files refer to files stored in cloud object storage that can be accessed and managed through Databricks. These files can be used for various data processing tasks, including data ingestion, transformation, and analysis1. Here are some key points about Databricks Cloud Files:
Cloud Object Storage: Databricks supports several cloud storage providers, such as Amazon S3, Azure Data Lake Storage Gen2, Google Cloud Storage, and Azure Blob Storage.
Unified Access: Databricks provides unified access to files stored in cloud object storage, allowing you to read and write data seamlessly using tools like Apache Spark, Spark SQL, and Databricks SQL.
Auto Loader: Databricks' Auto Loader feature incrementally and efficiently processes new data files as they arrive in cloud storage without any additional setup. It supports various file formats, including JSON, CSV, XML, Parquet, Avro, ORC, Text, and Binary files2.
DBFS (Databricks File System): Databricks offers a file system called DBFS that allows you to interact with files stored in cloud object storage as if they were local files.
Unity Catalog: Databricks' Unity Catalog provides a unified namespace for managing data and metadata, making it easier to organize and access files stored in cloud object storage
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