Open source
An Open source software is a software whose source code can be viewed, changed and used publicly and by third parties. It complies to Open Source Initiative criterias. An Open source software can mostly be used free of charge. Software can be made open source software by individuals for altruistic motives as well as by organizations or companies in order to share development costs or to gain market share.
Related articles
TDP workshop: Become a TDP power user from your terminal
Categories: Events, Learning | Tags: DevOps, Ansible, Hadoop, Open source, TDP
The TDP CLI is used to deploy and operate your TDP services. It relies on tdp-lib to provide control and flexibility at your fingertips. Some time ago, we announced the public release of TDP - Trunk…
By Paul FARAULT
Jun 17, 2022
NixOS: Enabling LXD virtual machines using Flakes
Categories: Hack, Learning | Tags: GitHub, Learning and tutorial, Linux, LXD, Packaging, VM, NixOS, Open source
Nixpkgs is an ever-increasing collection of software packages for Nix and NixOS. Even with more than 80,000 packages, you easily run in a situation where there is a functionality that is not yet…
May 13, 2022
Introducing Trunk Data Platform: the Open-Source Big Data Distribution Curated by TOSIT
Categories: Big Data, DevOps & SRE, Infrastructure | Tags: Ranger, DevOps, Hortonworks, Ansible, Hadoop, HBase, Knox, Spark, Cloudera, CDP, CDH, Open source, TDP
Ever since Cloudera and Hortonworks merged, the choice of commercial Hadoop distributions for on-prem workloads essentially boils down to CDP Private Cloud. CDP can be seen as the “best of both worlds…
Apr 14, 2022
Nix package creation: install a not yet supported font
Categories: Hack | Tags: Learning and tutorial, Linux, Packaging, GitOps, NixOS, Open source
The Nix packages collection is large with over 60 000 packages. However, chances are that sometimes the package you need is not available. You must integrate it yourself. I needed for some fonts which…
By David WORMS
Mar 29, 2022
H2O in practice: a protocol combining AutoML with traditional modeling approaches
Categories: Data Science, Learning | Tags: Automation, Cloud, H2O, Machine Learning, MLOps, On-premises, Open source, Python, XGBoost
H20 comes with a lot of functionalities. The second part of the series H2O in practice proposes a protocol to combine AutoML modeling with traditional modeling and optimization approach. The objective…
Nov 12, 2021
H2O in practice: a Data Scientist feedback
Categories: Data Science, Learning | Tags: Automation, Cloud, H2O, Machine Learning, MLOps, On-premises, Open source, Python
Automated machine learning (AutoML) platforms are gaining popularity and becoming a new important tool in the data scientists’ toolbox. A few months ago, I introduced H2O, an open-source platform for…
Sep 29, 2021
JS monorepos in prod 5: merging Git repositories and preserve commit history
Categories: DevOps & SRE, Node.js | Tags: Bash, DevOps, GitHub, Packaging, Git, GitOps, JavaScript, Monorepo
At Adaltas, we maintain several open-source Node.js projects organized as Git monorepos and published on NPM. We shared our experience to work with Lerna monorepos in a set of articles: Part…
May 21, 2021
Apache Liminal: when MLOps meets GitOps
Categories: Big Data, Containers Orchestration, Data Engineering, Data Science, Tech Radar | Tags: Data Engineering, CI/CD, Data Science, Deep Learning, Deployment, Docker, GitOps, Kubernetes, Machine Learning, MLOps, Open source, Python, TensorFlow
Apache Liminal is an open-source software which proposes a solution to deploy end-to-end Machine Learning pipelines. Indeed it permits to centralize all the steps needed to construct Machine Learning…
Mar 31, 2021
Faster model development with H2O AutoML and Flow
Categories: Data Science, Learning | Tags: Automation, Cloud, H2O, Machine Learning, MLOps, On-premises, Open source, Python
Building Machine Learning (ML) models is a time-consuming process. It requires expertise in statistics, ML algorithms, and programming. On top of that, it also requires the ability to translate a…
Dec 10, 2020
TensorFlow Extended (TFX): the components and their functionalities
Categories: Big Data, Data Engineering, Data Science, Learning | Tags: Beam, Data Engineering, Pipeline, CI/CD, Data Science, Deep Learning, Deployment, Machine Learning, MLOps, Open source, Python, TensorFlow
Putting Machine Learning (ML) and Deep Learning (DL) models in production certainly is a difficult task. It has been recognized as more failure-prone and time consuming than the modeling itself, yet…
Mar 5, 2021
Plugin architecture in JavaScript and Node.js with Plug and Play
Categories: Front End, Node.js | Tags: Asynchronous, DevOps, Programming, Agile, JavaScript, Open source, Release and features
Plug and Play helps library and application authors to introduce a plugin architecture into their code. It simplifies complex code execution with well-defined interception points, also called hooks…
By David WORMS
Aug 28, 2020
Notes on the Cloudera Open Source licensing model
Categories: Big Data | Tags: CDSW, License, Cloudera Manager, Open source
Following the publication of its Open Source licensing strategy on July 10, 2019 in an article called “our Commitment to Open Source Software”, Cloudera broadcasted a webinar yesterday October 2…
By David WORMS
Oct 25, 2019
About the new BSD license and its difference with other BSD licenses
Categories: Data Governance | Tags: License, Open source
As a non restrictive Open Source license, the “new BSD license” is a commonly used license across the Node.js community. However, this is only one of the BSD license available along the original “BSD…
By David WORMS
Aug 8, 2013
Announcing Mecano, a set of functions for system deployment
Categories: DevOps & SRE, Node.js | Tags: Automation, Infrastructure, CoffeeScript, JavaScript, Open source
Update July 2016, Mecano is now renamed Nikita. We are releasing Node Mecano on GitHub which gather common functions used while deploying systems. The idea was to group those functions into a…
By David WORMS
Feb 12, 2012