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Domopalooza 2024: Domo Cloud Amplifier

March 2024

Domo Cloud Amplifier is a hybrid architecture that establishes a seamless integration with an organization’s existing cloud and data infrastructure. It allows organizations to use Domo’s data experience platform without moving or duplicating data within an existing data infrastructure. Unlock the value of data clouds and add the flexibility and speed users require, with the security and governance that IT demands.

In this release, we are happy to announce new capabilities within Cloud Amplifier:

  • GA: Cloud Ampifier + Google BigQuery: OAuth is now available, in addition to the already-available capability to read and write data back to BigQuery.
  • BETA: Cloud Amplifier + Dremio: In addition to the already available ability to read data, users can now write data back to Dremio.
  • BETA: Cloud Amplifier + Snowflake: The combined power of Domo Cloud Amplifier + Magic ETL with processing pushed down to Snowflake is now available.
  • Cloud Amplifier Configurable Data Freshness Checks: A newly added refresh rate feature has been added.

Domo Cloud Amplifier is the tissue that connects disparate systems, allowing data architects to get the most out of each data source. We know the effort needed to create a data foundation in your warehouse, and we want to honor that investment. Now, beginning with Snowflake, and to be followed by other cloud warehouses, we are bringing Magic ETL directly to your data source for intelligent, governable, and faster transformations right where your data lives. Experience the Magic ETL advantage without moving your data. Contact your CSM to get started.

With the newly added Configurable Data Freshness Checks feature, customers can now configure how frequently they would like Domo to check for updated data coming from Cloud Amplifier. Customizable for each unique cloud integration, the freshness check interval will determine how often Domo checks the metadata on registered tables. If Domo detects that a change has occurred or that data has changed, Domo will know that the next time somebody tries to view that data to send a new query to the underlying cloud engine. In the case where Magic ETL DataFlows have been set up with one of these datasets as an input, as soon as Domo detects that change on the underlying table, Domo will trigger any Magic DataFlows to run (assuming that those DataFlows are designated to run anytime an input changes).

There is also an option to turn off freshness checks. In this case, be sure to configure any Magic ETL DataFlows to run on a fixed schedule, so Domo will no longer be able to detect whether or not an update has occurred on the underlying table.

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