mu-pipelines documentation π
Welcome to the mu-pipelines documentation!
mu-pipelines is a configuration-driven platform designed to automate data workflows and empower teams to build flexible, scalable data architectures. Whether you're implementing a data mesh, managing complex data orchestration, or automating CI/CD pipelines, mu-pipelines simplifies the processβno custom code required. With mu-pipelines, teams can focus on business value and innovation, while the platform handles the heavy lifting of integrating, transforming, and delivering data seamlessly across the organization.
π Features
- Data Mesh Support: Empower domain teams to independently build and manage their own data pipelines. mu-pipelines provides a decentralized framework where each domain can manage data in layers (Raw, Silver, Gold) with easy-to-write configurations.
- Flexible Data Ingestion: Easily read data from CSV, JSON, Parquet, Databases, and more. Integrate seamlessly into the data mesh architecture.
- Powerful Transformations: Use SQL and Python-based transformations to process data across domains, ensuring data consistency and quality.
- CI/CD for Data Pipelines: Automate pipeline deployment, testing, and validation, enabling standardized CI/CD workflows to reduce manual intervention and pipeline errors.
- Lightweight & Scalable: Build and scale data pipelines quickly with configuration filesβno heavy setup or custom code needed. Ideal for organizations growing their data operations.
π Why mu-pipelines?
For CTOs & Data Leaders:
β Accelerates Data Delivery β Move data 10x faster by eliminating manual operations and streamlining pipeline development.
β Reduces Engineering Load β With automated CI/CD, you can reduce pipeline maintenance time by 40-60%, allowing your engineering team to focus on high-priority tasks.
β Minimizes Risk β Automated testing and validation prevent costly data errors from affecting production, ensuring consistency and quality.
β Simplifies Data Mesh Adoption β Enable domain teams to manage their own pipelines independently, with standardized configurations that integrate seamlessly into the organizationβs broader data ecosystem.
For Data Engineers:
β No More Pipeline Firefighting β With standardized CI/CD practices, your pipelines are less prone to errors, making it easier to maintain and scale them.
β Easier Scaling β Configuration-driven pipelines enable easy scaling without the need for new custom code for every integration, making it ideal for growing data operations in a data mesh environment.
β Self-Service for Domain Teams β Allow each domain team to build, test, and deploy their own pipelines, reducing bottlenecks and enabling faster delivery of data.
π Start by reading the Getting Started guide!
Need to connect with our team or have requests for specific connectors please email us at mupipelines@gmail.com
For more details please visit our website: https://mosaicsoft.wixsite.com/mu-pipelines