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The Time-series Management Service allows users to ingest time-series bulk data as a array of data points. The data can be written for set of entities, properties and source. User access is restricted through entitlements. The data ingested supports bi-temporality.

A Python Script to run FOSSA to generate NOTICEs, but cache the result based on the project dependencies

Time-series Query Core (or internal) Service provides low level APIs for fetching data streams from Time-series Store.

The Manifest Ingestion DAG includes a Workflow Engine, an implementation of Apache Airflow, to orchestrate manifest/metadata ingestion via Storage Service

[In Development]

Docker image for airflow deployment