On-demand webinar Azure Databricks and Spark: Unified Analytics

By Insight Editor / 1 Apr 2020 / Topics: Analytics Data and AI

Every enterprise wants to accelerate innovation by building Artificial Intelligence (AI) into their business. But preparing large datasets for analytics, managing the proliferation of Machine Learning (ML) frameworks and moving models from development to production can be a challenge.

In this on-demand webinar, we'll show you how unified analytics can bring data science and engineering together to accelerate your ML efforts.

You’ll learn enterprise best practices for using powerful, open source technologies to simplify and scale ML efforts. We'll discuss how to leverage Apache Spark for data preparation, unifying data at massive scale across various sources. We’ll also explore how ML frameworks can be used to train models based on different requirements and how MLflow can be used to track experiment runs and manage deployment.

Presented by:

Beth Wolfset

Senior Data Architect

Beth is a senior data architect with more than twenty-five years of data architecture, analysis, modeling, development and administration experience. She has a strong background in the healthcare and defense industries where she puts her technical leadership and facilitation skills to work creating practical data solutions that balance current requirements with the needs of the future. She has presented at technical user groups, organized conferences and NE GiveCamp, and advise at STEM and D&I activities.