Events - Databricks

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Matinée Data & Cloud : A vos marques, prêts, industrialisez !

Regional Event

Paris, FR

L'objectif de cet évènement est de vous présenter comment les solutions Databricks hébergées dans Microsoft Azure accélèrent et facilitent la la mise en production de projets data. Openvalue, cabinet de conseil en data, présentera les bénéfices identifiées par ses équipes tant sur la partie data engineering que data science. Christophe Bismuth, architecte data chez TF1, reviendra sur les différents projets menés avec Databricks et apportera ainsi un éclairage opérationnel. Ce retour d'expérience sera suivi d'une session d'échange entre invités et intervenants, autour des bonnes pratiques dans la réalisation de vos projets data.

AWS Dev Day | Paris

Regional Event

Paris, FR

Participez à cette demi-journée d’atelier pratique pour apprendre comment une approche ‘Unified Data Analytics’ peut accélérer les efforts data et ML, en réunissant les projets Data Science, Business Analytics et engineering en un seul endroit. Ce workshop gratuit vous donnera l'opportunité d’ / de: Apprendre à construire à grande échelle des pipelines de données robustes, et ce, à des fins analytiques Découvrir en profondeur Apache Spark™ et Databricks, incluant les derniers updates Delta Lake Entraîner des modèles de données et apprendre les best practices des méthodes de travail sur les frameworks ML (ex:TensorFlow, XGBoost, Scikit-Learn, etc.) Apprendre le suivi des expérimentations avec MLflow, le partage de projets et le déploiement de modèles dans le cloud avec Amazon Sage Maker. Rencontrer et échanger avec vos pairs.

Delta Lake Hands-On Lab | Toronto

Regional Event

Toronto, ON

Join this hands-on lab to learn how Delta Lake can help you build robust production data pipelines at scale. Delta Lake is an open source storage layer that brings reliability to data lakes. It has numerous reliability features including ACID transactions, scalable metadata handling, and unified streaming and batch data processing.

Women in Data & AI, Munich

Regional Event

Munich, Germany

Databricks and Microsoft would like to invite you to a special Drinks and Data event on 11th December at Microsoft Deutschland GmbH. We are aiming to help connect and empower women in Data Science, AI and ML, and their allies.

Databricks Customer Cocktails | Melbourne

Regional Event

Melbourne, Australia

Join us for a year-end get together on December 11th at this intimate, invite-only event for the best craft beer in Melbourne at the iconic Garden State hotel.

Databricks Customer Cocktails | Sydney

Regional Event

Sydney, Australia

Join us for a year end get together on December 10th at this intimate, invite-only event for the best craft beer on the wharf.

TechX Vienna – Microsoft event

Regional Event

Vienna, Austria

Microsoft Austria's largest conference for IT decision makers, IT professionals and developers from the corporate environment!

Delta Lake Hands-On Lab | Denver

Regional Event

Denver, CO

Join this hands-on lab to learn how Delta Lake can help you build robust production data pipelines at scale. Delta Lake is an open source storage layer that brings reliability to data lakes. It has numerous reliability features including ACID transactions, scalable metadata handling, and unified streaming and batch data processing. Delta Lake runs on top of your existing data lake, such as on Azure Data Lake Storage, AWS S3, Hadoop HDFS, or on-premise, and is fully compatible with Apache Spark APIs.

DataOps Workshop, Berlin

Regional Event

Berlin, Germany

In this workshop, we will demystify this idea, discuss the basis for the sudden popularity and relevance, and walk you through in a hands-on fashion how it can be implemented in production.

Unified Analytics | Unifying Data Pipelines & Machine Learning with Apache Spark

Regional Event

Bengaluru, India

In this workshop, we'll cover best practices for enterprises to use powerful open source technologies to simplify and scale your ML efforts. We’ll discuss how to leverage Apache Spark™, the de-facto data processing and analytics engine in enterprises today, for data preparation as it unifies data at massive scale across various sources. You’ll learn how to use ML frameworks (i.e. Tensorflow, XGBoost, Scikit-Learn, etc.) to train models based on different requirements. And finally, you can learn how to use MLflow to track experiment runs between multiple users within a reproducible environment, and manage the deployment of models to production.