Mit Data verbinden
Concepts
Data Acquisition
Connect to Your Existing Infrastructure
SQL databases
The list of supported SQL databases, and information on how to connect to them, is available from our documentation on SQL datasets.
Hadoop HDFS
To connect you will first need to configure Hadoop on your instance.
Please refer to the detailed guides on specific Hadoop distributions and managed services.
NoSQL
Accessing Cloud Storage and Databases
Cloud File Storage
Cloud Databases
- Amazon Redshift Syncing from S3 to Redshift is most efficient, and Dataiku DSS takes this route whenever possible, see this page for details.
- Google BigQuery is available through a JDBC driver developed by Simba.
- Snowflake
Fetching Data From Remote Sources
It is possible to fetch data using various protocols, and caching the resulting dataset on the filesystem.
- You can use an FTP server as an uncached database.
- You can also fetch data using HTTP, and use secured connections through SFTP or SCP.
File Formats
Dataiku can read and write in various file formats for files-based connections: filesystem, HDFS, Amazon S3, HTTP, FTP, SSH…
See the list of readable file formats.
Accessing Data Through Plugins
Many applications such as Google Sheets, SalesForce, Slack… provide capabilities to access their data through APIs.
Dataiku DSS plugins allow the addition of custom connections leveraging these APIs to easily define datasets that fetch data from a wide variety of applications.
See the available plugins or create your own plugin.