Support Ukrain
Adaltas logoAdaltasAdaltas logoAdaltas


Data Engineer and Data Scientist

Mehdi is a Data Engineer, evolving in the Big Data ecosystem for almost 2 years. Among other things, he designed and developed real-time data processing applications on Spark and SparkML, as well as data ingestion and processing chains involving Nifi, Sqoop, Hive, Impala, HBase. His favorite programming languages are Java, Python, Scala. He is also proficient in the deployment aspects of CDH clusters and especially the Data Science tools (Zeppelin, Jupyter, and Cloudera Data Science Workbench).

He enjoys revealing the hidden informations in the datasets and answering the customer’s questions through data visualization on PowerBI. He has recently focused his attention on Computer Vision, specifically image segmentation through convolutional neural networks.

Published articles

Introduction to Cloudera Data Science Workbench

Introduction to Cloudera Data Science Workbench

Categories: Data Science | Tags: Azure, Cloudera, Docker, Git, Kubernetes, Machine Learning, MLOps, Notebook

Cloudera Data Science Workbench is a platform that allows Data Scientists to create, manage, run and schedule data science workflows from their browser. Thus it enables them to focus on their main…



Feb 28, 2019

Canada - Morocco - France

International locations

10 rue de la Kasbah
2393 Rabbat

We are a team of Open Source enthusiasts doing consulting in Big Data, Cloud, DevOps, Data Engineering, Data Science…

We provide our customers with accurate insights on how to leverage technologies to convert their use cases to projects in production, how to reduce their costs and increase the time to market.

If you enjoy reading our publications and have an interest in what we do, contact us and we will be thrilled to cooperate with you.