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Unified Analytics Workshop Silicon Valley Dec 2019

By Sarah Jones | Posted on October 14, 2019 | Posted in Events, Microsoft Azure, Databricks

Unifying Data Pipelines and Machine Learning with Apache Spark. ™

EVENT DETAILS 
December 11, 2019 
Microsoft Technology Center 
755 North Mathilda  
Sunnyvale, CA 94085

Every enterprise today wants to accelerate innovation by building AI into their business. However, most companies struggle with preparing large datasets for analytics, managing the proliferation of ML frameworks, and moving models in development to production. 
 
Please join Redapt, Microsoft, and Databricks for this half-day immersive experience into Databricks. 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 also learn how to use ML frameworks (i.e. TensorflowXGBoostScikit-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. 
 
Register for this half-day workshop to learn how unified analytics can bring data science and engineering together to accelerate your ML efforts. This free workshop will give you the opportunity to: 

 

  • Learn how to build highly scalable and reliable pipelines for analytics 
  • Deeper insight into Apache Spark and Azure Databricks, including the latest updates with Databricks Delta  
  • Train a model against data and learn best practices for working with ML frameworks (i.e. - XGBoostScikit-Learn, etc.) 
  • Learn about MLflow to track experiments, share projects and deploy models in the cloud and on-prem 
  • Network and learn from your ML and Apache Spark peers 

 

AGENDA AT A GLANCE 
 
8:30-9:00 - Registration, Breakfast & Networking  

9:00-9:45 - Opening Remarks - Unifying Data Science and Data Engineering  

9:45-10:15 - Customer Use Case  

10:15-10:45 - Networking with Peers 

10:45-11:30 - Data Engineering Interactive Demo & Best Practices: Preparing Data for Analytics 

11:30-12:15 - Data Science Interactive Demo & Best Practices: Model Training and Machine Learning 

12:15-12:30 - Q&A  

 

To follow along with the interactive demos, please sign up for a free Microsoft Azure account ahead of time.  

Space is limited for this event. Sign up today to reserve your spot!