dosera

DOSera is a fictional distributed data orchestration framework created for illustrative purposes in a wiki entry. It is designed to manage complex data pipelines that span multiple environments, including on-premises clusters, cloud instances, and edge devices. The project emphasizes declarative configuration, observable execution, and data lineage tracking.

The architecture of DOSera centers on three layers: a planner that translates user-defined workflows into executable tasks; an executor that schedules and runs those tasks across heterogeneous targets; and a connectors layer that provides adapters to databases, message queues, filesystems, and machine-learning services. A metadata catalog records provenance, versioning, and lineage to support reproducibility and audits.

Key features include a declarative DAG-based workflow language, fault tolerance through retries and checkpointing, parallel and streaming execution capabilities, and security controls such as role-based access control and encrypted data in transit. DOSera also supports pluggable backends for storage, compute, and orchestration platforms, enabling deployment on Kubernetes or standalone clusters.

Usage scenarios include batch ETL, real-time analytics, data preprocessing for machine learning, and sensor data ingestion from distributed sources. In the fictional context, the project is described as community-driven and API-compatible with common workflow tooling, fostering experimentation and education.

Note: DOSera is a fictional concept used for demonstration and does not represent a real software project.