Broadcast Date: February 16, 2023
Level: 300
Businesses need to make quick data-driven decisions based on various data sources for analytics and machine learning. Your teams are often tasked with building complex, time-consuming and cumbersome data pipelines to make sure the data is available in time for analysis. Learn how you can simplify the builder experience with no-code/low-code data pipelines in Amazon Redshift.
Learning Objectives
- Learn how to easily integrate various data sources in Amazon Redshift.
- See how you can integrate with Apache Spark for data processing.
- Explore how to use Redshift ML to support decision-making.
Who Should Attend?
Data Enterprise Architect, Data Engineering Team, Data Scientists
Speaker(s)
Runhong Deng, Sr. Data Architect, Amazon Web Services
Learn More
To learn more about the services featured in this talk, please visit:
aws.amazon.com/redshift/
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