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IBM DB2 12 for z/OS Technical Overview
Data Management

Redbooks, published 13 Dec 2016, last updated 3 Jul 2019

IBM® DB2® 12 for z/OS® delivers key innovations that increase availability, reliability, scalability, and security for your business-critical information. In addition, DB2 12 for z/OS offers performance and functional improvements for both transactional and analytical workloads and makes installation and migration simpler and faster. DB2 12 for z/OS also allows you to develop applications for the cloud and mobile devices by providing self-provisioning, multitenancy, and self-managing capabilities in an agile development environment. DB2 12 for z/OS is also the first version of DB2 built for ... [more]


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The Journey Continues: From Data Lake to Data-Driven Organization

Redguide, published 19 Feb 2018

This IBM Redguide™ publication looks back on the key decisions that made the data lake successful and looks forward to the future. It proposes that the metadata management and governance approaches developed for the data lake can be adopted more broadly to increase the value that an organization gets from its data. Delivering this broader vision, however, requires a new generation of data catalogs and governance tools built on open standards that are adopted by a multi-vendor ecosystem of data platforms and tools. Work is already underway to define and deliver this capability, and there are ... [more]


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Managing IBM Db2 Analytics Accelerator by using IBM Data Server Manager
Analytics

Web Doc, published 4 Dec 2017, last updated 11 Dec 2017

IBM® Data Server Manager is a web-based, integrated database management tools platform that manages IBM Db2® and IBM Db2 for z/OS® databases. With IBM Data Server Manager, you can manage and administer IBM Db2 Analytics Accelerator (Accelerator). This IBM Redbooks® Analytics Support web document describes the various functions that are available in Data Server Manager to manage the Accelerator server. This document is targeted at database administrators who work with IBM Db2 Analytics Accelerator. It applies to IBM Data Server Manager Version 2.1.5 and ... [more]


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IBM Decision Optimization and Data Science
Analytics

Web Doc, published 6 Dec 2017

This document introduces IBM Decision Optimization to a data science audience. The goals are to identify possible uses of IBM Decision Optimization in data science projects and demonstrate where additional value can be captured by adding an optimization step.


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Sharing Box Content in IBM Content Navigator
Enterprise Content Management

Web Doc, published 8 Nov 2017

Collaboration is a popular approach to delivering global solutions. If Box Share is enabled, you can select a document to share, and IBM® Content Navigator creates a link to the specific version of the document. You can send the link to other people if you specify one or more email addresses. Anyone with the link can access the document. This IBM Redbooks Analytics Web Doc provides information on how to successfully enable and configure Box Share in IBM Content ... [more]


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Zero to Cognitive
Analytics

Course, published 27 Sep 2017

This video series lets anyone get started easily with IBM Bluemix and the IBM Watson services, developed and presented by IBM Distinguished Engineer and CTO Bob Dill. This twelve part video series lets you learn how to build cognitive applications using the IBM Bluemix Cloud.


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IBM Db2 12 for z/OS Performance Topics
Data Management

Redbooks, published 19 Sep 2017

Db2 12 for IBM z/OS® delivers several significant business values, such as cost reductions, scalability improvement, and improved application enablement for cloud and mobile environment. Db2 12 also introduces a foundation of continuous delivery. In continuous delivery, new capabilities and enhancements, including performance features, are delivered through function levels without waiting for a new release. Function levels 100 and 500 activate the initial set of enhancements and capabilities in Db2 12. For migration from Db2 11, most new capabilities become available in Db2 12 only after the ... [more]


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Governing Operational Decisions in an Enterprise Scalable Way
Analytics

Redbooks, published 2 Aug 2017

This IBM® Redbooks® publication introduces operational decision governance and describes in detail how to implement it using the IBM Operational Decision Manager (ODM) platform. ODM allows businesses to automate and manage day-to-day operational decisions. It provides an integrated repository and management components for line-of-business, subject-matter experts to directly participate in the definition and governance of rules-based decision logic, organized in decision services. Governance of changes to decision services is of particular importance and value. This book describes how ... [more]


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Setting Up IBM Data Server Manager as a Highly Available Service
Analytics

Web Doc, published 11 Jul 2017

This IBM® Redbooks® web doc describes how to build, configure, and deploy IBM Data Server Manager as a high availability (HA) service on a Linux system. Data Server Manager runs on an HA cluster that includes one master node and one backup node. If Data Server Manager stops running on one of the nodes, the other instance of Data Server Manager starts to ensure that the Data Server Manager service is always available. Critical configuration and user data for Data Server Manager are continuously synchronized between the two Data Server Manager nodes. This web doc guides you through building a ... [more]


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Configuring your Browser for trusted HTTPS Connections to IBM Content Navigator and Box
Analytics

Web Doc, published 30 Jun 2017

When integrating a Box repository with IBM® Content Navigator, it is necessary to connect to IBM Content Navigator and Box with a secure HTTPS connection.


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How to Successfully Integrate IBM Content Navigator with Box
Analytics

Web Doc, published 29 Jun 2017

To successfully add a Box repository to an instance of IBM® Content Navigator there are many prerequisites that must be met, and some configuration steps that are not immediately obvious and currently not included in the IBM Content Navigator documentation.


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IBM BigInsights Security Implementation Part 2: Securing the IBM BigInsights Cluster Perimeter
Analytics

Web Doc, published 9 Dec 2016

Big data analytics is network intensive because it runs on a cluster of nodes. Due to the high volumes of data exchanged between nodes in the IBM® BigInsights® cluster, network isolation is vital for the following reasons:
- To prevent sniffing attacks
- To reduce the network congestion so that the corporate network is not affected by the big data cluster traffic
Isolating the cluster network also gives administrators greater flexibility in enforcing the cluster access. This IBM® Redbooks® Analytics Support web doc serves as a guide for system implementers who are ... [more]


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IBM BigInsights BigIntegrate and BigQuality: IBM InfoSphere Information Server on Hadoop Deployment and Configuration Guide
Analytics

Web Doc, published 29 Apr 2016, last updated 6 Dec 2016

IBM® BigInsights® BigIntegrate and BigQuality allow for IBM InfoSphere® Information Server to be deployed on Apache Hadoop, leveraging resources in the Hadoop cluster through the Hadoop resource manager known as Yet Another Resource Negotiator (YARN). This offering introduces data locality, allowing for logic in existing and new IBM InfoSphere DataStage® jobs to run on the Hadoop data nodes where the Hadoop Distributed File System (HDFS) blocks exist. This IBM Redbooks® Analytics Support Web Doc is intended to jumpstart deployment and configuration of the IBM BigInsights BigIntegrate and ... [more]


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Introduction to R in IBM SPSS Modeler
Analytics

Redpaper, published 14 Oct 2016

This IBM Redpaper™ publication focuses on the integration between IBM® SPSS® Modeler and R. The paper is aimed at people who know IBM SPSS Modeler and have only a very limited knowledge of R. Chapters 2, 3, and 4 provide you with a high level understanding of R integration within SPSS Modeler enabling you to create or recreate some very basic R models within SPSS Modeler, even if you have only a basic knowledge of R. Chapter 5 provides more detailed tips and tricks. This chapter is for the experienced user and consists of items that might help you get up to speed with more detailed ... [more]


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A Guide to Lean Healthcare Workflows
Analytics

Redpaper, published 26 Aug 2015, last updated 11 Oct 2016

Is Lean a fit for your healthcare organization? Various methodologies can be used to help organizations achieve their objectives depending on their criteria: lowest risk of failure, fast to resolution, or lowest cost for deployment. But what every organization should consider is which methodology will have the greatest impact. Lean, a systematic approach to understanding and optimizing processes, may be the fit for your organization. Learn more in this new IBM® Redpaper™ publication, A Guide to Lean Healthcare Workflows, by Jerry Green and Amy Valentini of Phytel (An IBM ... [more]


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IBM Data Server Manager Overview and Performance Analysis
Analytics

Web Doc, published 4 Oct 2016

IBM® Data Server Manager is a web-based, integrated database management tools platform that manages IBM DB2® for Linux, UNIX, Windows, and IBM z/OS® databases. With IBM Data Server Manager, you can monitor, analyze, tune, and administer DB2 databases. This IBM Redbooks® Analytics Support web doc describes ways to do performance analysis that can be used to drill down into SQL performance to understand the underlying issues and take corrective measures to optimize the outcome. This document provides an overview of Data Server Manager and includes information that helps Data Server Manager ... [more]


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Assessing Hardware Failures on IBM PureData System for Analytics N2001, N2002, and N3001
Analytics

Web Doc, published 29 Sep 2016

This IBM Analytics Support Wed Doc describes possible hardware component failures on IBM PureData System for Analytics, their effect on the system, and its criticality and consequences if multiple components fail. This document also describes the architecture of IBM PureData System for Analytics to clarify the relationships between components. It also provides guidance on replacement scenarios. This information is intended to help users correctly respond to failures and open problem management records (PMR) with an accurate level of severity. This document provides information to help you ... [more]


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IBM BigInsights Security Implementation: Part 1 Introduction to Security Architecture
Analytics

Web Doc, published 25 Aug 2016

Big data analytics involves processing large amounts of data that cannot be handled by conventional systems. The IBM® BigInsights® platform processes large amounts of data by breaking the computation into smaller tasks that can be distributed onto several nodes. As this platform is shared by users in different roles (developers, analysts, data scientists, and testers), it introduces the challenge of provisioning access and authorization to the cluster and securing the data. Big data platforms are an amalgamation of several individual components that are still evolving, and are based on the ... [more]


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IBM Data Engine for Hadoop and Spark
Power Systems

Redbooks, published 24 Aug 2016

This IBM® Redbooks® publication provides topics to help the technical community take advantage of the resilience, scalability, and performance of the IBM Power Systems™ platform to implement or integrate an IBM Data Engine for Hadoop and Spark solution for analytics solutions to access, manage, and analyze data sets to improve business outcomes. This book documents topics to demonstrate and take advantage of the analytics strengths of the IBM POWER8® platform, the IBM analytics software portfolio, and selected third-party tools to help solve customer's data analytic workload requirements. ... [more]


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Apache Spark Implementation on IBM z/OS
Analytics

Redbooks, published 13 Aug 2016

The term big data refers to extremely large sets of data that are analyzed to reveal insights, such as patterns, trends, and associations. The algorithms that analyze this data to provide these insights must extract value from a wide range of data sources, including business data and live, streaming, social media data. However, the real value of these insights comes from their timeliness. Rapid delivery of insights enables anyone (not only data scientists) to make effective decisions, applying deep intelligence to every enterprise application. Apache Spark is an integrated ... [more]


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The above is a list of IBM Redbooks and Redpapers on 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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