Project

Overview

Ascend.io projects serve as the foundational structure for organizing and managing data engineering workflows on the platform. A project in Ascend encapsulates the entire lifecycle of data processing activities, from ingestion and transformation to visualization and analysis. It allows users to logically group related data pipelines, workflows, and resources, facilitating better organization, management, and scalability of data engineering tasks.

Benefits

1. Organized Workflow Management: Projects allow for a structured approach to data pipeline development, helping teams organize workflows, Components, and configurations logically.
2. Collaboration and Version Control: With projects, multiple users can collaborate on data engineering tasks, share resources, and manage versions of pipelines and configurations, ensuring consistency and reducing duplication of effort.
3. Isolation and Security: Projects provide a way to isolate resources and manage access permissions, ensuring that sensitive data and critical workflows are protected and accessible only to authorized users.
4. Scalability: By organizing data workflows into projects, users can more easily scale their data engineering efforts, managing multiple pipelines and workflows efficiently as their data needs grow.
5. Reusability: Projects enable the reuse of common configurations, Components, and components, speeding up the development of new pipelines and reducing the time to insights.

Sample Configuration

To give a practical example of how a project is configured in Ascend.io, let's provide a minimal YAML configuration that outlines the basic structure of a project:

project:
  connections: ["connections/"]
  deployments: ["deployments/"]
  flows: ["flows/"]
  tests: ["tests/"]
  vaults: ["vaults/"]

This configuration snippet demonstrates a basic project setup in Ascend.io. It defines a project with connections, deployments, flows, tests, and vaults directories. Each of these components plays a crucial role in the data processing lifecycle within Ascend:

• Connections: Define the external data sources and destinations for the project.
• Deployments: Manage the deployment configurations for running the data pipelines.
• Flows: Specify the data processing workflows, including data ingestion, transformation, and output.
• Tests: Include data quality and integrity checks to ensure the reliability of the data pipelines.
• Vaults: Securely store sensitive information, like API keys and database credentials, used within the project.