# FaaS Data Processing with Onedata

- Institution: CERN
- Department: HEP Computing
- Speaker: Michał Orzechowski
- Year: 2023
- Language: English
- Subjects: Computer science
- Source: [CERN](https://videos.cern.ch/record/3016533)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

Onedata is a distributed, global, high-performance data management system, which provides transparent and unified access to globally distributed storage resources and supports a wide range of use cases from personal data management to data-intensive scientific computations. Due to its fully distributed architecture, Onedata allows for the creation of complex hybrid-cloud infrastructure deployments, with private and commercial cloud resources. It allows users to share, collaborate and publish data and perform high-performance computations on distributed data. Onedata enables users to collaborate, share and perform computations on data using applications relying on POSIX-compliant data access.

Onedata has recently been enhanced with a powerful workflow execution engine powered by OpenFaas. This allows for the creation of complex data processing pipelines that have transparent access to distributed data provisioned by Onedata. The workflow functionality can be used for embedded data processing and includes a library of ready-to-use functionalities such as metadata extraction and format conversion. Custom functions can also be easily added and shared among user groups. The solution has been thoroughly tested on auto-scalable Kubernetes clusters. In addition to the transparent access to distributed data, the use of a Function as a Service (FaaS) platform for data processing offers flexibility and innovation for contemporary data tasks. The use of FaaS allows for the creation of custom, modular functions that can be combined and executed in a variety of ways to meet the specific needs of a given data processing task. This modular approach makes it easy to scale and update individual functions as needed, making FaaS well-suited for the dynamic and constantly evolving nature of modern data processing. The combination of FaaS and Kubernetes further enhances the flexibility and scalability of this data processing solution. By running the FaaS platform on top of Kubernetes,…

## Lectures

1. [FaaS Data Processing with Onedata](https://invisiblenetwork.ai/learn/cern/3016533/29f066f33af1), 18 min (CERN's player)