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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 https://help.rc.ufl.edu/mediawiki/images/c/c8/IBM 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. https://medium.com/ibm-dcpe-group/netezza-performance-server-a-hybrid-cloud...


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...

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