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Netezza - Introduction to Resource Groups

Nikola Samardzic

While user groups are something that can be found across nearly every database, IBM’s Netezza, besides user groups, has something specific called resource groups.

Generate Health Report for IBM Cloud Pak for Data Using Jupyter Notebook

Nikola Samardzic, Mario Galjanic

The goal was to generate static reports, similar to the ones available in Cloud Pak for Data’s user interface.

Reducing Risk with Bank Loan Default Prediction

Andrew Kipp

Defaulting on a loan means failure to make loan payments for consecutive months. This makes it a key problem and a challenge to be solved.

Loading Data from Amazon S3 Bucket to IBM Netezza Performance Server

Mario Galjanić

With IBM Netezza, there are many ways to pull data from a backup, but a relatively new feature has been included which allows the use also an AWS stack.

Netezza Zone Maps and Data Model considerations

Jacob Anil

Netezza is a data warehousing appliance that uses an Asymmetric Massive Parallel Processing Architecture.

Integrating Talend with Netezza Using Talend's Netezza Specific Components

Bryan Hearron

Leverage the Talend random data generator to spawn records onto a CUSTOMER table residing on the Netezza emulator.

Is Your Data Warehouse Aging Gracefully?

Chris Jordan

How old is your data warehouse? It’s a simple question and probably one you don’t think about much.

Address Validation with IBM InfoSphere DataStage

Erich Guenther

Maintaining a database of postal mail addresses requires them to be maintained over time and validated.

An Overview of IBM’s Information Management Platform for Data Warehousing and Big Data

Chris Jordan

The ability to deliver the right information at the right time and in the right context is crucial.

IBM BigInsights Has Potential If It Lives Up To Its Promise

Prakash Sukumar

It was interesting to learn how IBM stacks up against other vendors in the Big Data landscape.

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