Big Data Solution Architect
Léo is a Big Data & Hadoop solution architect with 2 years of experience on Hadoop and Distributed Systems. He has designed, developed and operated data ingestion workflows and real-time services while accompanying his clients in defining their needs and implementing them.
He is versatile on Big Data platforms, from planning, design and architecture of cluster deployment, administration, maintenance and prototyping and application industrialization in collaboration with business users, analysts, Data Scientists, Engineers and Operations Teams.
Categories: Big Data, Business Intelligence, Containers Orchestration | Tags: EC2, Druid, Cloud, CNCF, Container Orchestration, Data Analytics, Helm, Kubernetes, Metrics, OLAP, Operation, Prometheus, Python
Apache Druid is an open-source analytics data store which could leverage the auto-scaling abilities of Kubernetes due to its distributed nature and its reliance on memory. I was inspired by the talk…
Jul 16, 2019
We recently migrated a large production Hadoop cluster from a “manual” automated install to Apache Ambari, we called this the Ambari Takeover. This is a risky process and we will detail why this…
Nov 15, 2018
During the DataWorks Summit Europe 2018 in Berlin, I had the opportunity to attend a breakout session on Apache Oozie. It covers the new features released in Oozie 5.0, including future features of…
May 23, 2018
Adaltas recently attended the Open Source Summit Europe 2017 in Prague. I had the opportunity to follow a presentation made by Randy Abernethy and Jens Geyer of RM-X, a cloud native consulting company…
Oct 28, 2017