Ascend's platform allows the creation and management of intelligent data pipelines, where the control plane detects changes in either data or code across vast networks of pipelines and responds to those changes in real time. This system allows users to ingest, transform, orchestrate, and share data from any source in any cloud with Connections, and with Data Planes.
A Data Plane refers to the underlying infrastructure that enables data processing and movement. It is the data cloud where the data pipeline workload runs, like BigQuery, Databricks, and Snowflake. This database hosts the workloads for the Data Flows in that Data Service. As a result, you can distribute workloads across more infrastructure, and align your Ascend teams with their access to different BigQuery, Databricks, and Snowflake resources.
For Ascend's integration with services like Databricks, Snowflake, and BigQuery, the Data Plane setup process requires careful configuration and recording of credentials, endpoints, and server host names. Once set up, the Data Plane is ready to facilitate data operations within the Ascend platform. The user can then start creating Dataflows and Connectors, leveraging the power of the Ascend platform for large-scale data operations. The careful configuration of the data plane ensures secure and efficient data processing.
Updated 9 months ago