Talk

The most large companies, composed of several countries and/or subsidiaries, have several local data platforms. At Carrefour, we have a federated model where each country has its own data platform. While the data platforms are used locally, there is no problem. However, when the headquarters wants to consolidate and aggregate the data from the different data platforms for creating global applications, analytics dashboards or centralized operations, many issues are to solve. Above the data governance and documentation, the data synchronisation is a real challenge. When do you have to get the data from each data platform to join them? Many solutions are possible: using a scheduler, using an orchestrator, using event-driven architecture,... Interactively, we will find and review those solutions, their pros and cons and a demo will present the tool that will be used.
guillaume blaquiere
Carrefour
Guillaume is a Google Developer Expert on Cloud Platform since 2019 and works at Carrefour as Group Data Architect.
Java developer for more than 15 years, and despite positions of responsibilities, he has always kept his wish to create, develop, discover and test new solutions, especially in the Cloud, the machine learning or Python and Go language.
Innovation addict and Google Cloud 3x certified, writer and speaker in his free time, he's fascinated by the serverless solution and all the "usual" problems that it solves.
More generally, he likes helping people stuck on Google Cloud; you can find him on Stack Overflow (guillaume-blaquiere), Medium (@guillaume-blaquiere) and Twitter (@gblaquiere)