FOD Meetup #6 : disaster recovery solutions for Hadoop clusters

Apr 24, 2018 · Neuilly-sur-Seine, France

Bonjour à tous,

Nous avons le plaisir de vous inviter au prochain Meetup Future Of Data qui aura lieu le 24 Avril à partir de 18h45. Pour ce meetup, nous serons dans les locaux de Finaxys ( qui nous offre hébergement, boissons et collations. Un grand merci à eux pour l'accueil et l'organisation.

Comme d'habitude, les présentation seront en Français.


18h45 - 19h00 : Accueil des participants

19h00 - 19h45 : How to design a Disaster Recovery Plan for HDP (Hortonworks Data Platform) Clusters?

Mohamed Mehdi BEN AISSA, Big Data Practice Manager at FINAXYS and Big Data ITO at CACIB

For HDP Clusters, we suggest, in a first phase, different Disaster Recovery Plan solutions depending on the SLA (Service-level agreement): RPO (Recovery Point Objective), RTO (Recovery Time Objective). In a second phase, we focus more on the stretch cluster solution: the advantages, the drawbacks and the impact of this choice on the global architecture. Finally, we explain in detail how to configure and deploy this solution and how to integrate each layer (storage layer, processing layer ...) into the architecture.

19h45 - 20h30 : Multi-clusters & global data management with Hortonworks DataPlane Service, a focus on Disaster Recovery

Abdelkrim Hadjidj, Solution Engineer at Hortonworks

The architecture of modern enterprise data lakes is based on multiple Hadoop clusters. Several clusters are used to separate between environments such as dev, test, production and DR. In some organizations, each business line has its own dedicated cluster to comply with legal or internal constraints. This is often the case in financial services. Hybrid cloud deployment is another example of multi-clusters deployment that we see in several verticals such as manufacturing. In this presentation, we will introduce Dataplane Service (DPS), a global data management platform that enables organizations to operate, secure and govern multiple clusters from a single pane of glass. We will show how DPS is a foundation of any services that needs to operate on multiple clusters. Finally, we will present three services on top of DPS and we will focus on Data Replication and Disaster Recovery.

20h30 - 21h00 : Apéro

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