talk-data.com

Un meetup riche en enseignements autour de la migration technologique de Sonepar vers Azure Synapse et Power BI. Cet événement vous plongera au cœur des défis rencontrés lors de la transformation d'une solution historique (Netezza, Genio, MicroStrategy et Automator) vers une nouvelle stack moderne, en abordant les aspects techniques et organisationnels qui auraient pu être anticipés. Au programme :

• Les enjeux de sécurité et de configuration
• Trouver des spécialistes sur des services récents
• Choix architecturaux et défis techniques
• Focus Power BI et CI/CD
• Perspectives d’avenir

Intervenants côté Sonepar :

• Stéphane ARENAS – Responsable de Domaine BI & Analytics
• Mohamed Ali TOUMI – Consultant BI / Data Engineer Azure (SBI)
• Edouard Lesage – Chef de projets Data & BI

Cet échange, animé par Charles-Henri Sauget, se veut l'occasion de partager des retours d'expérience concrets et de discuter des meilleures pratiques pour anticiper et surmonter les défis techniques et humains lors d'une migration vers une plateforme data moderne.

Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science. About the Technology Many companies need developers with data science skills to work on projects ranging from social media marketing to machine learning. Discovering what you need to learn to begin a career as a data scientist can seem bewildering. This book is designed to help you get started. About the Book Introducing Data Science explains vital data science concepts and teaches you how to accomplish the fundamental tasks that occupy data scientists. You'll explore data visualization, graph databases, the use of NoSQL, and the data science process. You'll use the Python language and common Python libraries as you experience firsthand the challenges of dealing with data at scale. Discover how Python allows you to gain insights from data sets so big that they need to be stored on multiple machines, or from data moving so quickly that no single machine can handle it. This book gives you hands-on experience with the most popular Python data science libraries, Scikit-learn and StatsModels. After reading this book, you'll have the solid foundation you need to start a career in data science. What's Inside Handling large data Introduction to machine learning Using Python to work with data Writing data science algorithms About the Reader This book assumes you're comfortable reading code in Python or a similar language, such as C, Ruby, or JavaScript. No prior experience with data science is required. About the Authors Davy Cielen, Arno D. B. Meysman, and Mohamed Ali are the founders and managing partners of Optimately and Maiton, where they focus on developing data science projects and solutions in various sectors. Quotes Read this book if you want to get a quick overview of data science, with lots of examples to get you started! - Alvin Raj, Oracle The map that will help you navigate the data science oceans. - Marius Butuc, Shopify Covers the processes involved in data science from end to end… A complete overview. - Heather Campbell, Kainos A must-read for anyone who wants to get into the data science world. - Hector Cuesta, Big Data Bootcamp