What is DataOps? Definition and implementation
“DataOps is a collaborative data management practice focused on improving the communication, integration and automation of data flows between data managers and data consumers across an organization. The goal of DataOps is to deliver value faster by creating predictable delivery and change management of data, data models and related artifacts. DataOps uses technology to automate […]
How to Bring DevOps Practices into Your Data Science Project ?
Still struggling to make your Big Data / AI project happen? Here is our last piece of advice on the matter, but don’t hesitate to check out our previous articles about the Data Lab and its organisation, the business vision, the POC, the traps and the Data Fabric. Now, let’s find out about the DevOps […]
A Data Fabric to make your Big Data & AI projects happen!
Even though the terms Big Data, Data Science and Artificial Intelligence gain in popularity, few data initiatives do in fact materialize. Various use cases are addressed but struggle to get industrialized. The Data Fabric concept seems a promising solution to get data projects in production. Data Fabrics emerged recently in the specialized press (Forbes, Networkworld…) each with different definitions. In this […]