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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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What AI Can Do for You: Use Cases for AI on IBM Z
IBM Z software

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

Artificial intelligence (AI) and machine learning (ML) are talked about as though they are in a distant future. That future is here. We live in a world where technology is fully integrated with how we live. People own smartphones, smart wearables, smart TVs, and so on. With the integration of technology into almost every aspect of our everyday lives, there is an ever-growing, massive amount of data coming from each digital interaction. This data is the critical fuel powering deep enterprise insights that can be used to expand AI capabilities and infuse those capabilities into ... [more]


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IBM DB2 for z/OS: Configuring TLS/SSL for Secure Client/Server Communications
IBM Z software

Redpaper, published 23 Feb 2022, last updated 25 Feb 2022

This IBM® Redpaper publication provides information about how to set up and configure IBM Db2® for z/OS® with Transport Layer Security (TLS), which is the modern version of Secure Sockets Layer (SSL). This configuration is accomplished by using the IBM z/OS Communications Server Application Transparent Transport Layer Security (AT-TLS) services. This paper also describes the steps for configuring TLS/SSL support for the IBM Data Server Driver Package (DS Driver) for IBM Data Server Provider for .NET, Open Database Connectivity (ODBC), and Call Level Interface clients to access a Db2 for z/OS ... [more]


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Installing and Configuring IBM Db2 AI for IBM z/OS v1.4.0
Data and Analytics

Redpaper, published 21 Jul 2021, last updated 4 Jan 2022

Artificial intelligence (AI) enables computers and machines to mimic the perception, learning, problem-solving, and decision-making capabilities of the human mind. AI development is made possible by the availability of large amounts of data and the corresponding development and wide availability of computer systems that can process all that data faster and more accurately than humans can. What happens if you infuse AI with a world-class database management system, such as IBM Db2®? IBM® has done just that with Db2 AI for z/OS (Db2ZAI). Db2ZAI is built to infuse AI and data science to assist ... [more]


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IBM Data Virtualization Manager for z/OS
Data and Analytics

Redbooks, published 7 Oct 2021, last updated 26 Oct 2021

This IBM® Redbooks® publication presents an overview of the IBM Data Virtualization Manager for IBM z/OS® offering and the role it plays in accessing traditional non-relational data on IBM Z. If there is anything true about the IT industry, it is change and data. Data Virtualization Manager for z/OS is built with both of these absolute truths in mind. With Data Virtualization Manager for z/OS, an organization can extend its infrastructure and data investments to support new ways of accessing and presenting data within modern applications. Modernizing access to those highly valuable ... [more]


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Integrating Db2 for z/OS Database Changes Into a CI/CD Pipeline
Data and Analytics

Redpaper, published 3 Sep 2021, last updated 13 Sep 2021

The goal of this IBM® Redbooks® publication is to demonstrate the ability to perform single click automated deployments of multi-platform applications that include IBM Db2 for z/OS database schema changes by using the capabilities of IBM Db2 DevOps Experience for z/OS. Pushing the application and database code changes to a source control management system (SCM) triggers a single CI/CD pipeline execution for application and database changes. Therefore, it mitigates the dependency on the DBA to deploy those database changes in a separate process. At the same time, DBAs can safeguard the ... [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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