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Dbt uses YAML files to declare properties. seed is a type of reference table used in dbt for static or infrequently changed data, like for example country codes or lookup tables ), which are CSV based and typically stored in a seeds folder .
Spacewalk is an open source Linux and Solaris systems management solution [buzzword] and is the upstream project for the source of Red Hat Network Satellite. Spacewalk works with RHEL, Fedora, and other RHEL derivative distributions like CentOS, Scientific Linux, etc.
Juju is a free and open-source application modeling tool developed by Canonical Ltd. [2] Juju is an application management system. It was built to reduce the operation overhead of software by facilitating, deploying, configuring, scaling, integrating, and performing operational tasks on public and private cloud services along with bare-metal servers and local container-based deployments.
Pipelines are represented in code as yaml [29] configuration files. These files define the stages of the pipeline and how data and information flows from one step to the next. When a pipeline is run, the artifacts produced by that pipeline are registered in a dvc.lock file. [30]
The term "ansible" was coined by Ursula K. Le Guin in her 1966 novel Rocannon's World, [4] and refers to fictional instantaneous communication systems.[5] [6]The Ansible tool was developed by Michael DeHaan, the author of the provisioning server application Cobbler and co-author of the Fedora Unified Network Controller (Func) framework for remote administration.
pip (also known by Python 3's alias pip3) is a package-management system written in Python and is used to install and manage software packages. [4] The Python Software Foundation recommends using pip for installing Python applications and its dependencies during deployment. [5]
YAML (/ ˈ j æ m əl /, rhymes with camel [4]) was first proposed by Clark Evans in 2001, [15] who designed it together with Ingy döt Net [16] and Oren Ben-Kiki. [16]Originally YAML was said to mean Yet Another Markup Language, [17] because it was released in an era that saw a proliferation of markup languages for presentation and connectivity (HTML, XML, SGML, etc.).
Dask is an open-source Python library for parallel computing.Dask [1] scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy.