Summary
Traditional data warehousing approaches often require complex ETL (extract, transform, load) processes, which can be time-consuming and costly. With Netezza and watsonx.data, you can unify data for AI across the hybrid cloud without the need for ETL. This is achieved through a shared metadata layer, open table formats, and cost effective cloud object storage.
Hear from Netezza Program Director, Hemant Suri, and AWS Senior Solution Architect, Eduardo Monica Fronza, on the benefits and use cases of this new offering with watsonx.data, integrations with AWS, see a demo, and learn how to get started today.
Agenda:
- Intro to Netezza Performance Server and the latest announcements from THINK 2024
- Better together: Netezza native integration with watsonx.data lakehouse to share data and optimize workloads for price and performance
- AWS Integrations: Learn about how to use AWS capabilities such as S3, Glue, and EMR to prepare and store data for analytics and AI and scale workloads with Netezza and watsonx.data on AWS
- Demo
- Q&A
Please join us in this on-demand recording. Please share any questions by clicking on the Reply button. If you have not done so already, register to watch here.
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Hemant Suri
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