Netezza + Watson Studio - Five things to consider for successful data science implementation

Netezza® has always been synonymous with speed and simplicity. With Netezza Performance Server for IBM Cloud Pak® for Data, you can rapidly extend your data warehousing practice to implement data science use cases on a unified data and AI platform. IBM Watson® Studio, a data science service on IBM Cloud Pak for Data, helps you rapidly build, run and manage models with automated AI lifecycles using Netezza and the rest of data and AI ecosystems. 

Organizations can predict and optimize business outcomes using open source tools like RStudio, Python, or Apache Spark to help build out a robust architecture for machine learning. One example: Call Netezza stored procedures from Spark, enabling in-place machine learning models that work with stored procedures, utilizing the data in place by leveraging the Massively Parallel Processing (MPP) architecture of Netezza Performance Server.

When you combine the rich data science and machine learning capabilities of IBM Cloud Pak for Data with the in-database analytics of Netezza Performance Server — such as data mining, statistics, predictions, transformations, geospatial, and data preparation, you are getting a powerful set of tools for data scientists and application developers.

Join this expert webinar featuring Netezza and data science experts from IBM and IBM Business Partners to discuss use cases, architecture modernization and best practices.