Netezza Performance Server

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Webcast: Scale analytics and AI across the enterprise with Netezza as a Service on AWS and watsonx.data

By Ashley Bassman posted Mon September 25, 2023 09:15 AM

  

Netezza Performance Server as a fully managed service on AWS is IBM’s cloud-native enterprise data warehouse designed to operationalize business analytics and AI workloads, combined with the simplicity of the AWS cloud. With new support for open formats such as Parquet and Apache Iceberg, and integration with IBM’s watsonx.data lakehouse, also available on AWS, Netezza empowers data engineers, data scientists, and data analysts to run complex workloads without additional ETL or data movement. 

Hear from our Netezza Program Director, Hemant Suri, and AWS's Mark Brown, on the benefits and use cases of this new offering, integrations with AWS, see a demo, and learn how to get started today.

In this session, dive deeper into how Netezza as a Service can help your organization: 

  • Control costs in the cloud with AI infused elastic scaling: Netezza’s cloud elastic computing also enables granular elastic pricing—you can scale up and down while paying for only what you use, no t-shirt sizes. Our innovative built-in AI workload analysis model predicts future scaling needs and enables cost predictability in the cloud. 
  • Share data responsibly: Support for open data formats enable collaboration in a whole new way. Export, import and directly query open data formats such as Parquet in your data lake, using Netezza. 
  • Scale your analytics and AI across the enterprise: Netezza as a Service natively integrates with watsonx.data open data lakehouse that provides a common metadata store. This new architecture also allows you to easily shift workloads and run fit-for-purpose engines that best meet your workload and price-performance needs.
  • For existing Netezza Mako and Hammerhead (Cloud Pak for Data System) customers, applications deployed on-premises can run seamlessly and unchanged in the cloud.

Join us Tue, Nov 7, 2023 11:00 AM EST

Register here! 

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