Databricks Tech & Career Talks

Join presenters from Databricks for lectures that explore machine learning use cases and demos designed to streamline business processes for organizations.

Databricks is an industry-leading cloud-based data engineering tool used for processing and transforming massive quantities of data and exploring the data through machine learning models.

Previous events

Unity Catalog: Data Governance on the Lakehouse

Thursday, May 19, 2022, 5:30 pm - 6:30 pm PDT

Zeashan Pappa discusses Databricks Unity Catalog and data governance in the lakehouse architecture.

Putting Machine Learning into Production: An Overview

Thursday, March 31, 2022, 5:30 pm - 6:30 pm PDT

Srijith Rajamohan walks through the foundations of scalable machine learning, from data provenance to model deployment and monitoring.

Delta Live Tables

Thursday, January 27, 2022, 5:30 pm - 6:30 pm PST

Chris Hoshino-Fish introduces Delta Live Tables, an optimized system for data management in the cloud.

Preparing and Designing the Data Lakehouse for Artificial Intelligence

Thursday, October 28, 2021, 5:30 pm - 6:30 pm PDT

Vini Jaiswal explains the “data lakehouse” data paradigm, which provides all of the capabilities needed to train and deploy machine learning models.

The Future of Data Science and Machine Learning at Scale: A Look at MLflow, Delta Lake, and Emerging Tools

Wednesday, February 10, 2021, 5:30 pm - 6:30 pm PST

Jules S. Damji surveys emerging technologies to address the challenges of data at scale

Bringing Software Engineering Practices to Data and Artificial Intelligence

Thursday, January 21, 2021, 5:30 pm - 6:30 pm PST

Denny Lee is a developer advocate at Databricks

Selling the Value of Data-centric Solutions

Thursday, November 5, 2020, 12:00 pm - 1:00 pm PST

Industry-specific Databricks case studies and an introduction to selling the value of data-centric solutions.

A Day in the Life of a Data Scientist

Thursday, October 8, 2020, 5:30 pm - 6:30 pm

A typical day in the life of a data scientist, with a demo of data engineering, data analysis, and data science using Spark SQL, Spark ML, Delta, and Redash.