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Db2 Optimization Techniques for SAP Database Migration to the Cloud
Data and Analytics

Draft Redbooks, last updated 20 Jun 2023

For many years, SAP migrations have been a standard process. We see an increasing number of customers changing their database software to IBM Db2 for UNIX, Linux and Windows or moving their existing Db2 based infrastructure from on-premises into the cloud. When moving to the cloud, often a heterogeneous system copy is needed due to a change of the underlying hardware architecture and operating system.This book provides in-depth information about the best practices and recommendations for the source system database export, the advanced migration techniques, database layout and configuration, ... [more]


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Securely Leverage Open-Source Software with Python AI Toolkit for IBM z/OS
IBM Z software

Solution Guide, published 10 May 2023

Open-source software (OSS) is widely available and serves as an essential component for enterprises in the artificial intelligence (AI) and machine learning (ML) industry. Specifically, the open-source programming language Python is one of the most versatile and popular programming languages that are used in the world at the time of writing. This situation is especially true in the data science community, where Python provides many libraries and tools that enable essential AI and ML functions, and where it is supported by a large community of developers that actively contribute to its ... [more]


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IBM DB2 with BLU Acceleration

Solution Guide, published 17 Jul 2014, last updated 14 Mar 2023

Available with the IBM DB2®10.5 release, BLU Acceleration delivers unparalleled performance improvements for analytic applications and reporting using dynamic in-memory optimized columnar technologies. BLU Acceleration is one of the most significant pieces of technology that has ever been delivered in DB2 and arguably in the database market in general. This IBM® Redbooks® Solution Guide provides an overview of the DB2 with BLU Acceleration ... [more]


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Optimized Inferencing and Integration with AI on IBM zSystems: Introduction, Methodology, and Use Cases
IBM Z

Redpaper, published 17 Nov 2022, last updated 30 Nov 2022

In today’s fast-paced, ever-growing digital world, you face various new and complex business problems. To help resolve these problems, enterprises are embedding artificial intelligence (AI) into their mission-critical business processes and applications to help improve operations, optimize performance, personalize the user experience, and differentiate themselves from the competition. Furthermore, the use of AI on the IBM® zSystems platform, where your mission-critical transactions, data, and applications are installed, is a key aspect of modernizing business-critical applications while ... [more]


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Become Data Driven with IBM Z Infused Data Fabric
IBM Z

Redpaper, published 2 Aug 2022, last updated 2 Aug 2022

The expansion of digital transformation initiatives resulted in the exponential rise of data generation. It is now apparent that for organizations to meet their rapidly changing business needs, they must use their most current data to fuel their insights. However, how to do so efficiently and effectively is still a challenge for most organizations that are trying to solve today’s complex business problems. Contributing to this challenge is that organizations are turning to a hybrid cloud approach of their IT infrastructure, scaling to include on-premises and cloud environments, in response ... [more]


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The above is a list of IBM Redbooks and Redpapers on Data and Analytics, showing most recently published first. IBM Redbooks publications are available for download in PDF and EPUB formats and most are also available on Google Play Books and Apple Books.



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