Wasabi has been changing the cloud storage landscape with Hot Cloud Storage, a disruptively simple, one size fits all cloud storage technology that is 1/5th the price and faster than the competition with no egress fees, API call charges, or additional hidden fees. Wasabi is game changing, leading-edge cloud technology that allows users to affordably store a nearly infinite amount of data. Wasabi is an entirely new approach to cloud storage… a bottomless cloud that grows with your business. DataLakeHouse supports your integration from Wasabi.
Our Wasabi DataLakeHouse integration:
- replicates Wasabi data to your Cloud Data Warehouse target
- synchronizes to your target destination at a scheduled frequency
- provides a single platform to analyze your order data and integrate with other data points for true analytics that will empower your business
It allows you to replicate/synchronize your Wasabi data, including capturing snapshots of data at any point int time, and keep it up-to-date with little to no configuration efforts. You don’t even need to prepare the target schema — DataLakeHouse will automatically handle all the heavy lifting for you.
All you need is to specify the connection to your Wasabi, point to your target system, or use a DataLakeHouse.io managed Data Warehouse and DataLakeHouse.io does the rest. Our support team can even help you set it up for you during a short technical on-boarding session.
DataLakeHouse.io securely connects to your Wasabi storage. Using the form in the DataLakeHouse.io portal please complete the following basic steps.
- Enter a Name or Alias for this connection, in the 'Name/Alias' field, that is unique from other connectors
- Enter a 'Target Schema Prefix', which will be the prefix for the schema at the target you will sync to
- Enter a 'Bucket' name, where your files are stored
- Typically starts with s3:// or https://, so enter just the name without the prefix.
- Select your 'Region'
- Enter your 'Access Key', credentials to access the bucket
- Enter your 'Secret Key', credentials to access the bucket
- Enter any other optional details in the available fields (See the setup video if you need help or contact support)
- Folder Path, is a path on the root bucket from where desired files will be retrieved
- File Pattern, is a regular expression (RegEx) used to isolated only certain files to be retrieved
- File Type, allows for a pre-determined type of file extension to be retreived
- Click the Save & Test button. Once your credentials are accepted you should be able to see a successful connection.
If any issues occur with the authorization simply return to the sources page in DataLakeHouse.io, edit the source details and click the 'Save & Test' button to confirm connectivity. If any issues persist please contact our support team via the DataLakeHouse Support Portal.