Dataops
- Teacher(s)
- Christophe BLEFARI
- Course type
- COMPUTER SCIENCE
- Correspondant
- Ludovic DENEUVILLE
- Unit
-
SDDP - UE2 Développement d'application et dataOps
- Number of ECTS
- 2
- Course code
- 3A-Att-STD-02-3
- Distribution of courses
-
Heures de cours : 27
- Language of teaching
- French
Objectives
This classe aims to introduce to the DataOps skills set and philosophy. DataOps isa new concept that appeared around 2018. Because companies started to treat data as a product we needed to approach data in a more agile way. In order to simplify data usage for all, engineers need to treat data like an asset. This is DataOps.rnDuring this classe students will see and create self-service data platform through concepts like Infrastructure as Code B IaC — Terraform, Ansible), CI/CD and Software Engineering abstraction.rnThis lecture will also help you navigate through the whole data tools ecosystem and will give you the decision framework to choose a tool over another.rn
Course outline
– Why DataOps, MLOps and DevOps?rn- AWS Cloud platform, a reminderrn- Infrastructure as Codern- CI/CD conceptsrn- Docker 101 and how it changed applications deploymentrn- Kubernetes light introductionrn- Data pipelines and data observabilityrn