Demand for increased capture of information to drive analytic insights into an organizations' assets and infrastructure is growing at unprecedented rates. However, as data volume growth soars, the ability to provide seamless ingestion pipelines becomes operationally complex as the magnitude of data sources and types expands.
This talk will focus on the efforts of the Apache NiFi community including subproject, MiNiFi; an agent based architecture and its relation to the core Apache NiFi project. MiNiFi is focused on providing a platform that meets and adapts to where data is born while providing the core tenets of NiFi in provenance, security, and command and control. These capabilities provide versatile avenues for the bi-directional exchange of information across data and control planes while dealing with the constraints of operation at opposite ends of the scale spectrum tackling the first and last miles of dataflow management.
We will highlight ongoing and new efforts in the community to provide greater flexibility with deployment and configuration management of flows. Versioned flows provide greater operational flexibility and serve as a powerful foundation to orchestrate the collection and transmission from the point of data's inception through to its transmission to consumers and processing systems.