CROSS-ORGANIZATION & CROSS-CLOUD AUTOMATED DATA PIPELINES

Organization Name

Snowflake Inc.

Inventor(s)

Tyler Arthur Akidau of Seattle WA (US)

Istvan Cseri of Seattle WA (US)

Tyler Jones of Redwood City CA (US)

Dinesh Chandrakant Kulkarni of Sammamish WA (US)

Daniel Mills of Seattle WA (US)

Daniel E. Sotolongo of Seattle WA (US)

Di Fei Zhang of Redmond WA (US)

CROSS-ORGANIZATION & CROSS-CLOUD AUTOMATED DATA PIPELINES - A simplified explanation of the abstract

This abstract first appeared for US patent application 18610863 titled 'CROSS-ORGANIZATION & CROSS-CLOUD AUTOMATED DATA PIPELINES

Abstract: Techniques for triggering pipeline execution based on data change (transaction commit) are described. The pipelines can be used for data ingestion or other specified tasks. These tasks can be operational across account, organization, cloud region, and cloud provider boundaries. The tasks can be triggered by commit post-processing. Gates in the tasks can be set up to reference change data capture information. If the gate is satisfied, tasks can be executed to set up data pipelines.

Simplified Explanation:

The patent application describes methods for automatically triggering the execution of data pipelines when there is a change in the data, such as a transaction commit. These pipelines can be used for tasks like data ingestion and can span different boundaries within an organization or cloud environment.

Key Features and Innovation:

- Triggering pipeline execution based on data change - Operational across different boundaries - Gates for referencing change data capture information - Automated task execution for setting up data pipelines

Potential Applications:

- Data ingestion processes - Automated data processing tasks - Cross-boundary data management in organizations and cloud environments

Problems Solved:

- Automating pipeline execution based on data changes - Streamlining data processing tasks across different boundaries - Enhancing efficiency in setting up data pipelines

Benefits:

- Improved data processing efficiency - Automation of data pipeline setup - Enhanced data management across boundaries

Commercial Applications:

"Automated Data Pipeline Triggering Technology for Efficient Data Processing and Management"

Questions about Data Pipeline Triggering Technology:

1. How does this technology improve data processing efficiency? - This technology automates the execution of data pipelines based on data changes, reducing manual intervention and streamlining processes.

2. What are the potential applications of this technology beyond data ingestion? - This technology can be used for various automated data processing tasks, enhancing efficiency in managing data across different boundaries.

Original Abstract Submitted

Techniques for triggering pipeline execution based on data change (transaction commit) are described. The pipelines can be used for data ingestion or other specified tasks. These tasks can be operational across account, organization, cloud region, and cloud provider boundaries. The tasks can be triggered by commit post-processing. Gates in the tasks can be set up to reference change data capture information. If the gate is satisfied, tasks can be executed to set up data pipelines.