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Blog Entry
Enforcing data governance and virtualization in Netezza for Cloud Pak for Data

Cloud Pak for Data Virtualization gives you the option of replacing an expensive data lake with a simpler alternative that simplifies your heterogeneous multi-cloud data enterprise by making it look, act and feel like a single database, and can perform as well as traditional methods . ...

Shruthi Subbaiah Machimada's profile image

Library Entry
In-database analytics guide

This guide provides an introduction to the IBM Netezza In-Database Analytics package. It provides background information about the purpose and application of each algorithm, as well as guidelines for proper usage Netezza In-Database Analytics...

Library Entry
Netezza on Cloud

Netezza is back, and it’s better than ever! Netezza is faster, cloud-ready, and includes Cloud Pak for Data, IBM’s integrated data and AI platform. Additionally, Netezza is available on your favorite cloud provider.

Library Entry
Overview of Netezza Analytics (INZA)

IBM Netezza Analytics is an open and flexible advanced embedded analytics platform available with Netezza, that enables the development and deployment of in-database analytics to drive game changing results. Parallelized analytics for data preparation, data mining, predictive modeling and...

Blog Entry
Introducing IBM Db2 for z/OS Data Gate

By Samantha Buhler, Daniel Martin , and Mike Wendel IBM Db2 for z/OS Data Gate (Db2 Data Gate) offers a new approach to access and get value from Db2 for z/OS data with little or no impact on the core transaction processing on IBM Z. Db2 Data Gate extracts, loads and synchronizes mission...

Mike Wendel's profile image