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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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Data Serving with FUJITSU Enterprise Postgres on IBM LinuxONE
LinuxONE

Redbooks, published 14 Jul 2021

Enterprises require support and agility to work with big data repositories and relational databases. FUJITSU Enterprise Postgres is one of the leading relational database management systems (RDBMSs), and it is designed to work with large data sets. As more companies transform their infrastructures with hybrid cloud services, they require environments that protect the safety of their data and business rules. At IBM®, we believe that your data is yours and yours alone. The insights and advantages that come from your data are yours to use in the pursuit of your business objectives. IBM is ... [more]


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High Performant File System Workloads for AI and HPC on AWS using IBM Spectrum Scale
Storage solutions

Redpaper, published 31 Mar 2021

This IBM® Redpaper® publication is intended to facilitate the deployment and configuration of the IBM Spectrum® Scale based high-performance storage solutions for the scalable data and AI solutions on Amazon Web Services (AWS). Configuration, testing results, and tuning guidelines for running the IBM Spectrum Scale based high-performance storage solutions for the data and AI workloads on AWS are the focus areas of the paper. The LAB Validation was conducted with the Red Hat Linux nodes to IBM Spectrum Scale by using the various Amazon Elastic Compute Cloud (EC2) instances. Simultaneous ... [more]


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IBM Integrated Synchronization: Incremental Updates Unleashed
Data and Analytics

Redpaper, published 27 Jan 2021

The IBM® Db2® Analytics Accelerator (Accelerator) is a logical extension of Db2 for IBM z/OS® that provides a high-speed query engine that efficiently and cost-effectively runs analytics workloads. The Accelerator is an integrated back-end component of Db2 for z/OS. Together, they provide a hybrid workload-optimized database management system that seamlessly manages queries that are found in transactional workloads to Db2 for z/OS and queries that are found in analytics applications to Accelerator. Each query runs in its optimal environment for maximum speed and cost efficiency. The ... [more]


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IBM Db2 Analytics Accelerator V7 High Availability and Disaster Recovery
Data and Analytics

Redpaper, published 14 May 2019, last updated 21 Oct 2020

IBM® Db2® Analytics Accelerator is a workload optimized appliance add-on to IBM DB2® for IBM z/OS® that enables the integration of analytic insights into operational processes to drive business critical analytics and exceptional business value. Together, the Db2 Analytics Accelerator and DB2 for z/OS form an integrated hybrid environment that can run transaction processing, complex analytical, and reporting workloads concurrently and efficiently. With IBM DB2 Analytics Accelerator for z/OS V7, the following flexible deployment options are introduced:


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IBM Storage Solutions for SAS Analytics using IBM Spectrum Scale and IBM Elastic Storage System 3000 Version 1 Release 1
Data and Analytics

Redpaper, published 6 Oct 2020

This IBM® Redpaper® publication is a blueprint for configuration, testing results, and tuning guidelines for running SAS workloads on Red Hat Enterprise Linux that use IBM Spectrum® Scale and IBM Elastic Storage® System (ESS) 3000. IBM lab validation was conducted with the Red Hat Linux nodes running with the SAS simulator scripts that are connected to the IBM Spectrum Scale and IBM ESS 3000. Simultaneous workloads are simulated across multiple x-86 nodes running with Red Hat Linux to determine scalability against the IBM Spectrum Scale clustered file system and ESS 3000 array. This paper ... [more]


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Cataloging Unstructured Data in IBM Watson Knowledge Catalog with IBM Spectrum Discover
Storage solutions

Redpaper, published 11 Aug 2020

This IBM® Redpaper publication explains how IBM Spectrum® Discover integrates with the IBM Watson® Knowledge Catalog (WKC) component of IBM Cloud® Pak for Data (IBM CP4D) to make the enriched catalog content in IBM Spectrum Discover along with the associated data available in WKC and IBM CP4D. From an end-to-end IBM solution point of view, IBM CP4D and WKC provide state-of-the-art data governance, collaboration, and artificial intelligence (AI) and analytics tools, and IBM Spectrum Discover complements these features by adding support for unstructured data on large-scale file and object ... [more]


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IBM Reference Architecture for High Performance Data and AI in Healthcare and Life Sciences
Data and Analytics

Redpaper, published 8 Sep 2019

This IBM® Redpaper publication provides an update to the original description of IBM Reference Architecture for Genomics. This paper expands the reference architecture to cover all of the major vertical areas of healthcare and life sciences industries, such as genomics, imaging, and clinical and translational research. The architecture was renamed IBM Reference Architecture for High Performance Data and AI in Healthcare and Life Sciences to reflect the fact that it incorporates key building blocks for high-performance computing (HPC) and software-defined storage, and that it supports an ... [more]


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Db2 for z/OS Utilities in Practice
IBM Z software

Redpaper, published 29 Jun 2018, last updated 25 Sep 2018

As IBM® continues to enhance the functionality, performance, and availability of IBM Db2®, the utilities have made significant strides towards self-management. IBM Db2 for z/OS utilities is leading the trend towards autonomics. During the last couple of versions of Db2 for z/OS, and through the maintenance stream, new features and enhancements have been delivered to further improve the performance and functionality of the Db2 utilities. The intent of this IBM Redpaper™ publication is to help Db2 Database Administrators, Db2 System Programmers, and anyone who runs Db2 for z/OS utilities ... [more]


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Enhancing the IBM Power Systems Platform with IBM Watson Services
Power Systems

Redbooks, published 12 Apr 2018

This IBM® Redbooks® publication provides an introduction to the IBM POWER® processor architecture. It describes the IBM POWER processor and IBM Power Systems™ servers, highlighting the advantages and benefits of IBM Power Systems servers, IBM AIX®, IBM i, and Linux on Power. This publication showcases typical business scenarios that are powered by Power Systems servers. It provides an introduction to the artificial intelligence (AI) capabilities that IBM Watson® services enable, and how these AI capabilities can be augmented in existing applications by using an agile approach to embed ... [more]


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Exploring IBM Db2 for z/OS Continuous Delivery
IBM Z software

Redpaper, published 21 Mar 2018

This IBM® Redpaper™ publication provides key information about continuous delivery in IBM Db2® 12 for z/OS®. It discusses how continuous delivery works and the changes that have been made in Db2 12 to support continuous delivery, such as adding a new catalog table and changing existing catalog tables. Also the paper covers the effects on applications and how to take advantage of new function provided using the continuous delivery model.


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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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