（1）Unified, cost-predictable analytics and AI across the hybrid cloud
（2）Scale analytics and AI with a unified, governed and cost-effective cloud data warehouse
Netezza? Performance Server is a cloud-native enterprise data warehouse designed to operationalize deep analytics, business intelligence and AI/maching-learning (ML) workloads by making data unified, accessible and scalable, anywhere. With new support for open formats such as Parquet and Apache Iceberg, plus native integration with your data lake and watsonx.data? lakehouse, Netezza empowers data engineers, data scientists and data analysts to run complex workloads without additional ETL or data movement over cloud object storage.
Netezza uses AI-infused elastic scaling to enable workload efficiency and cost predictability in the cloud at a massive enterprise scale. Existing Netezza appliance customers can enjoy risk-free, frictionless upgrades across the hybrid cloud, which makes it easy to modernize at your own pace.
（3）How Netezza Performance Server is used
1、Single view of your analytics and AI estate
Grant access and distribute data among users and third parties without data duplication. Enable centralized governance, quality and better compliance through integration with Knowledge Catalog.
2、Use deep, complex analytics on all types of data
Bring deep analytics to massive quantities of structured and unstructured data stored in your data lake. With rich built-in analytics and geospatial capabilities, eliminate additional data preprocessing and transformations for faster insights.
3、Run predictive analytics, ML and AI with governed data
Build, train, tune and deploy your own AI models with governed Netezza data, supported by lineage and watsonx.data integration. Identify data anomalies and run predictive analytics with a combination of Netezza’s in-memory processing and built-in ML model execution.
4、Simplify data engineering
With shared metadata, open table formats and object storage, eliminate ETL by sharing a single copy of data for analytics and AI across Netezza and the multiple query engines of watsonx.data.
（4）Features
1、AI-infused elastic scaling
Elastic computing in Netezza enables you to scale up and down while only paying for what you use. Our AI workload analysis can predict and schedule scaling based upon workload needs.
2、Open formats
Use open formats such as Parquet and Iceberg to allow secure data sharing across the enterprise. Data engineers, data scientists and developers can build more without additional ETL sharing a single copy of data.
3、Scalable AI workloads with watsonx.data integration
Store and share data for AI in cost-effective cloud object storage and use fit-for-purpose query engines, such as Presto and Apache Spark, to optimize analytics and AI workloads for price and performance.
