Supported Formats

You can load datasets into ADS, either locally or from network file systems.

You can open datasets with DatasetBrowser or pandas.

DatasetBrowser supports opening the datasets from web sites and libraries, such as scikit-learn directly into ADS.

When you load a dataset in ADSDataset from pandas.DataFrame, you can get the summary statistics, correlations, and visualizations of the dataset.

ADS Supports:

Data Sources	Amazon S3
	Autonomous Databases: ADW and ATP
	Blob
	Elastic Search instances
	Google Cloud Service
	HTTP and HTTPs Sources
	Hadoop Distributed File System
	Local files
	Microsoft Azure
	MongoDB
	NoSQL DB instances
	Oracle Cloud Infrastructure Object Storage
	Oracle Database with cx_Oracle
Data Formats	Apache server log files
	Array, Dictionary
	Attribute-Relation File Format (ARFF)
	Avro
	Comma Separated Values (CSV)
	HTML
	Hierarchical Data Format 5 (HDF5)
	Javascript Object Notation (JSON)
	LIBSVM
	Pandas.DataFrame, Dask.DataFrame
	Parquet
	PDF
	Tab Separated Values (TSV)
	xls, xlsx (Excel)
	XML
Data Types	Boolean Types (bool)
	Numeric Types (int, float)
	Text Types (str)

ADS Does Not Support:

Data Formats	DOCX
	Raw Images
	SAS
	Text Files
Data Types	Mapping Types (dict)
	Set Types (set)
	Sequence Types (list, tuple, range)

For reading text files, DOCX and PDF, see “Text Extraction” section.