Data Engineering in the Age of AI
AI has changed everything — including the role of the data engineer.
Register now for Data Engineering in the Age of AI as we explore better ways to build real-time pipelines and retool your existing data architecture to support AI use cases. Covering everything from streaming data and serverless to orchestration, governance and data sharing, this event hits on everything that's front and center for data engineers today.
Here's what you'll learn:
- Best practices for building ETL pipelines for analytics and AI
- Simplifying data pipelines with serverless compute
- Real-time ingestion and transformation with Spark Structured Streaming and Delta Live Tables
- Lakehouse orchestration with Databricks Workflows
- Accelerating the availability of analytics-ready data in the lakehouse with Qlik
Speaker and Presenter Information
Michael Armbrust
Distinguished Engineer
DATABRICKS
Ori Zohar
Principal Product Marketing Manager
DATABRICKS
Matt Jones
Sr. Product Marketing Manager
DATABRICKS
Vikas Ranjan
Senior Manager, Data Intelligence & Innovation
T-MOBILE
Frank Munz
Principal Technical Product Marketing Engineer
DATABRICKS
Stephanie Rivera
Sr. Solutions Architect
DATABRICKS
Tim Garrod
Director of Product Management
QLIK
Relevant Government Agencies
Other Federal Agencies, Federal Government, State & Local Government
Event Type
Webcast
This event has no exhibitor/sponsor opportunities
When
Tue, Nov 7, 2023, 8:00am
PT
Cost
Complimentary: $ 0.00
Website
Click here to visit event website
Event Sponsors
Organizer
Databricks