IBM Redbooks

Mark Simmonds

Vasfi Gucer

Deepak Rangarao

Simon Cambridge

Neil Patterson

Frank Ketelaars

Malcolm Singh

Lakshmana Ekambaram

Stephen D Gawtry

Audrey Holloman

Darren King

Karen Medhat

Mark Moloney

Payal Patel

Tamara Tatian

Henry L Quach

IBM Cloud Pak for Data platform is a unified, integrated and collaborative data and artificial intelligence (AI) platform that helps organizations collect, organize, and analyze data and infuse AI within and across business process and applications. Its ultimate goal is to deliver deeper business insights that enable smarter business outcomes. IBM Cloud Pak for Data delivers a set of capabilities core to a data fabric. A data fabric can help organizations improve productivity and reduce complexities when accessing, managing, and understanding disparate, siloed data that is distributed across a hybrid cloud landscape. The platform offers a wide selection of IBM and third-party services that span the entire data lifecycle. Deployment options include an on-premises software version that is built on the Red Hat OpenShift Container Platform, and a fully or partially managed version that can run on the IBM Cloud, and other hyper-scalers, such as Amazon Web Services (AWS) and Microsoft Azure. This IBM Redbooks publication provides a broad understanding of the IBM Cloud Pak for Data concepts and architecture, and the services that are available in the product. In addition, several common use cases and hands-on scenarios are included that help you better understand the capabilities of this product. This publication is for IBM Cloud Pak for Data customers who seek best practices and real-world examples of how to best implement their solutions while optimizing the value of their existing and future technology, data, and skills investments.

IBM Cloud Pak for Data Version 4.5: A practical, hands-on guide with best practices, examples, use cases, and walk-throughs

Whei-Jen Chen

Jason Chan

Olaf Mueller

Tapio Väättänen

Server virtualization technologies are becoming more popular to help efficiently utilize resources by consolidating servers. IBM® , the first company that developed and made available the virtual technology in 1966, offers advanced, powerful, reliable, and cost-saving virtualization technologies in various hardware and software products including DB2® for Linux, UNIX, and Windows. This IBM Redbooks® publication describes using IBM DB2 9 with server virtualization. We start with a general overview of virtualization and describe specific server virtualization technologies to highlight how the server virtualization technologies have been implemented. With this introduction anyone new to virtualization will have a better understanding of server virtualization and the industry server virtualization technologies available in the market. Following the virtualization concept, we describe in detail the setup, configuration, and managing of DB2 with three leading server virtualization technologies: IBM Power SystemsTM with PowerVMTM VMware Hyper-V We discuss the virtual machine setup with DB2 in mind to help IT support understand the effective ways of setting up a virtual environment specific for DB2. We explain the architecture and components of these three server virtualization technologies to allow DBAs to understand how a database environment using DB2 can benefit from using the server virtualization technologies. In addition, we discuss the DB2 features and functions that can take advantage of using server virtualization. These features are put into practice when describing how to set up DB2 with the three virtualization technologies discussed in this book. This book also includes a list of best practices from the various tests performed while using these virtualization technologies. These best practices can be used as a guideline or a reference when setting up DB2 using these virtualization technologies.

DB2 Virtualization

Malcolm Singh

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