FAQ : DataLakeHouse
Here are answers to some common questions users typically have about DataLakeHouse:
Do I need to know how to write code to use the DataLakeHouse.io platform?
No! Follow our simple instructions to guide you and with just a few clicks, you can easily load Data from any Source into Snowflake at the frequency of your choosing, and watch your Data flow 🙂
What Data Sources can I bring into Snowflake?
DataLakeHouse currently offers Connectors (aka connections or integrations) for the following Data Sources:
- Aloha POS
- DoorDash For Work
- Facebook / Meta Ads
- McLeod Transportation
- MongoDB Sharded
- NetSuite (Oracle NetSuite)
- Optimum HRIS
- Snowflake Data Marketplace
- SQL Server
- Square Marketplace
+ New Sources Added Frequently. You can request a connector anytime if the one you are looking for is not listed.
Is Snowflake the only Target that I can land my Data into?
Yes, currently DataLakeHouse is 100% focused on Snowflake as a Target! However, our Business Critical plan offers both tailored Sources and Targets to meet your organization's needs.
How frequently can my source data be Synchronized / Replicated to a target destination like Snowflake?
This depends on the Data Source it's coming from, but we currently offer Sync Bridges that bring data in as frequently as every 15 minutes (faster if on our Business Critical plan). Additional intervals offered include every 30 minutes, 1 hour, 2, 3, 6, 8, 12, and 24 hours. Depending on your organization's specific needs, you might want to consider our Business Critical plan, which offers additional synchronization frequencies.
Can I receive Notifications?
Yes! You can setup Alerts & Notifications for email and Slack that let you know thinks like:
- if a connector fails to connect to a source
- if a sync bridge does not complete within a certain time threshold
For more information, review Alerts & Notifications
Frequently Asked Questions about DataLakeHouse will always be available here. Also, join our Slack community for more insights and to collaborate with other DataLakeHouse users and developers.