Join this half-day workshop to learn how unified analytics can bring data science and engineering together to accelerate your ML efforts. 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.
Join this half-day workshop to learn how unified analytics can bring data science and engineering together to accelerate your ML efforts. 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.
Join this half-day workshop to learn how unified analytics can bring data science and engineering together to accelerate your ML efforts. 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.
Rejoignez cette matinée pour apprendre comment la plateforme analytique unifiée peut accélérer l’effort ML des équipes de data engineers et data scientists. Cet atelier gratuit vous donnera l'opportunité d’:
- Apprendre à construire des pipelines fiables à grande échelle pour l’analyse de données
- Fournir une compréhension profonde d’Apache Spark™ et Databricks, incluant les dernières mises à jour Delta Lake.
- Entraîner des modèles de données et apprendre les meilleures pratiques sur les frameworks ML (ex: XGBoost, Scikit-Learn, etc, …)
- Rencontrer et échanger avec vos pairs
Inscrivez-vous!
Databricks Unified Data Analytics Platform is a cloud-service that provides you with ready-to-use clusters to handle all analytics processes in one place, from data preparation to model building and serving, with virtually no limit to how much you can scale. Come join our media and entertainment team for an evening of cocktails and conversation with your peers across the media industry. This is a great opportunity to learn how others in the data engineering and data science space are leveraging Databricks around their direct to consumer, advertising and content initiatives.
Join this half-day workshop to learn how unified analytics can bring data science and engineering together to accelerate your ML efforts. 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.
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.
Join this workshop to learn how a unified approach to analytics can accelerate ML projects in the Healthcare and Life Sciences industry. In this workshop, we’ll cover best practices for using powerful open source technologies to simplify and scale your ML efforts. We’ll discuss how to leverage Apache Spark™ for data preparation as it unifies data at massive scale across various sources.
Join this half-day workshop to learn how unified analytics can bring data science and engineering together to accelerate your ML efforts. 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.
Join this half-day workshop to learn how unified analytics can bring data science and engineering together to accelerate your ML efforts. 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.
