From its founding in 1999 to its acquisition by IBM in 2010, Netezza has meant speed and simplicity. Netezza and its follow-on product, IBM PureData System for Analytics, brought supercomputing to the enterprise. The next step in the evolution of Netezza, IBM Performance Server, is built on IBM Cloud Pak for Data System. IBM Performance Server is a cloud-native system of insight that is 100 percent compatible with existing Netezza and PureData System for Analytics appliances. IBM Performance Server extends current Netezza speed by incorporating NVMe memory, faster processors and 64-bit technology. The result is significantly faster performance with a substantially smaller footprint.
Cloud Pak for Data System is an all-in-one, cloud-native data and AI platform in a box that provides a pre-configured, governed and secure environment to collect, organize and manage data. Built on the Red Hat OpenShift Container Platform, Cloud Pak for Data System enables you to take advantage of a broad set of data and AI services, integrating them quickly into applications to accelerate innovation and help you deliver business value.
- Introduction to IBM Performance Server: 100% Compatible with your existing Netezza appliance
Minimal Admin & Tuning – Load and Go | ‘nz migrate’ | | Up to 3x SQL Performance Improvement
- How Does IBM Cloud Pak for Data System Work: Collect, Organize, Analyze every type of data
Powered by RedHat OpenShift | Enterprise Data Catalog | Microservices | Instant Provisioning & Open API Platform | Collaborative Team Platform & Dynamic Dashboards
- Use Cases and Demonstration of IBM Cloud Pak for Data Services
Manage ALL Data | Build Your Ladder to AI | Modernize Data & Analytics Workloads | Compliance Readiness
- Call to Action
Discovery Session with TechD and IBM Experts | Demo of Cloud Pak for Data Services | Netezza Assessment & Performance Testing with TechD | Migration Strategy and Project Planning Session
Speakers: Bob Reno and Jaclyn Rudolf, IBM Technical Sales Specialists for IBM Cloud Pak for Data and IBM Performance Server
We look forward to virtually meeting you.