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IBM Cloud Pak™ for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data and infuse AI throughout their organizations. Built on Red Hat® OpenShift® Container Platform, IBM Cloud Pak for Data integrates market-leading IBM Watson® AI...
If your organization is using AI and machine learning models for making crucial decisions, you must ensure the performance, fairness, quality, and explainability of these models. Such rigorous evaluation is not just a best practice; it's a necessity. Fortunately, with the launch of Cloud Pak for...
Summary IBM Db2 Warehouse is an analytics data warehouse that features in-memory data processing and in-database analytics. It is client-managed and optimized for fast and flexible deployment, with automated scaling that supports analytics workloads. Db2 warehouse hosted on IBM Cloud Pak...
Metadata management performs a critical role within the modern data management stack. It helps blur data silos, and empowers data and analytics teams to better understand the context and quality of data. This, in turn, builds trust in data and the decision-making to follow. However, as data...
Need some light reading over this holiday? Only about 700 pages long. I'm proud to share this new IBM Redbooks that marks my first publication! Written for Cloud Pak for Data practitioners by Cloud Pak for Data practitioners. Check it out today! https://www.redbooks.ibm.com/abstracts...
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Take data fabric tutorials in Cloud Pak for Data v4.5.3 to experience one or more of the use cases that combine to demonstrate how you can implement a data fabric solution. The tutorials use the story of Golden Bank, a leading mortgage provider through their network of neighborhood branches,...
Wondering how to use some of the DataStage connectors and stages? Here's a playlist with videos showing how to use the most commonly used connectors, such as Cloud Object Storage, Db2, and Netezza, and the most commonly used stages, such as Lookup, Filter, Join, and Aggregate. Find more...
Do you wonder how you can reap the benefits of the IBM data fabric? Are you curious about how a data fabric approach resolves typical data analysis challenges? We’ve got you covered! You can get hands-on experience with the IBM data fabric by completing a series of tutorials. These new tutorials...