Showing documents 1 to 20 of 405  Next

Results per page: 5 | 10 | 20


cover image

IBM DB2 12 for z/OS Technical Overview
Information Management

Redbooks, published 13 Dec 2016

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]


cover image

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]


cover image

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]


cover image

Maximizing Performance of IBM DB2 Backups
Analytics

Web Doc, published 21 Oct 2016

This IBM® Redbooks® Analytics Support Web Doc describes how to maximize the performance of IBM DB2® backups. Backing up a database is a critical part of any disaster recovery plan. Making sure that the backup completes in a reasonable time frame means that there is always a valid backup available in case of emergency. This document describes the following elements that are critical to good backup performance:
- The backup process model
- Basic backup performance concepts
- Backup performance considerations
- Monitoring backup performance with the DB2_BAR_STATS ... [more]


cover image

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]


cover image

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]


cover image

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]


cover image

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]


cover image

Changing Physical Disk Storage in IBM DB2 pureScale: A Practical Example
Analytics

Web Doc, published 22 Sep 2016, last updated 26 Sep 2016

IBM® DB2® pureScale® provides continuous availability with multiple active servers that share a common set of disk storage subsystems. DB2 pureScale includes multiple components for high availability (HA), such as IBM Tivoli® System Automation (TSA) and IBM General Parallel File System (IBM GPFS™) for clustered file systems. Like any component in an IT infrastructure, DB2 pureScale eventually might require a migration to meet the demands of upgraded hardware and software. Database administrators, operating system administrators, and system administrators working with DB2 pureScale in ... [more]


cover image

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]


cover image

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]


cover image

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]


cover image

Enabling Real-time Analytics on IBM z Systems Platform
Analytics

Redbooks, published 8 Aug 2016

Regarding online transaction processing (OLTP) workloads, IBM® z Systems™ platform, with IBM DB2®, data sharing, Workload Manager (WLM), geoplex, and other high-end features, is the widely acknowledged leader. Most customers now integrate business analytics with OLTP by running, for example, scoring functions from transactional context for real-time analytics or by applying machine-learning algorithms on enterprise data that is kept on the mainframe. As a result, IBM adds investment so clients can keep the complete lifecycle for data analysis, modeling, and scoring on z Systems control in a ... [more]


cover image

Accelerating Law Enforcement Investigations with IBM COPLINK
Smarter Cities

Redguide, published 20 Jul 2016

IBM® COPLINK® (“COPLINK”) software is designed to help law enforcement organizations solve crimes faster, keep officers safer, and disrupt crime and terrorism. COPLINK helps to consolidate data from many sources, aid collaboration, and generate tactical leads. It enables law enforcement professionals to generate photo lineups, save their search history, and organize investigations to generate reports more easily. COPLINK also provides comprehensive auditing of data access. IBM COPLINK software helps law enforcement officers accomplish the following objectives:
- Discover ... [more]


cover image

IBM PureData System for Analytics: Improving Query Performance by Tuning Netezza Optimizer Through Postgres Configuration

Web Doc, published 23 Jun 2016

The IBM® PureData® System for Analytics, powered by Netezza® technology (“IBM Netezza”), is a data warehouse appliance that features a purpose-built analytics engine. Netezza generates a query plan for all queries that run on the system. The query plan describes the optimal execution query path as determined by the query optimizer component, which relies on statistics that are available about the database objects that are involved in the query. The Netezza query optimizer is a cost-based optimizer; that is, it determines the cost for the various execution alternatives and chooses the path ... [more]


cover image

Implementing an Optimized Analytics Solution on IBM Power Systems
Power Systems

Redbooks, published 1 Jun 2016

This IBM® Redbooks® publication addresses topics to use the virtualization strengths of the IBM POWER8® platform to solve clients' system resource utilization challenges and maximize systems' throughput and capacity. This book addresses performance tuning topics that will help answer clients' complex analytic workload requirements, help maximize systems' resources, and provide expert-level documentation to transfer the how-to-skills to the worldwide teams. This book strengthens the position of IBM Analytics and Big Data solutions with a well-defined and documented deployment model within a ... [more]


cover image

What to Consider When Switching IBM InfoSphere Information Server to Use LDAP Authentication
Analytics

Web Doc, published 18 Apr 2016

When changing IBM® InfoSphere® Information Server to authenticate with Lightweight Directory Access Protocol (LDAP), consider several aspects before making the switch. This document discusses the two types of LDAP registries, what to consider when deciding which registry is best for your company, what information is needed for the configuration, and what else can be done to optimize the configuration. This IBM Rebooks® Analytics Support Web Doc applies to IBM InfoSphere Information Server versions 9.1 through 11.5. This document is intended for systems and InfoSphere Information Server ... [more]


cover image

IBM Reference Architecture for Genomics, Power Systems Edition
Power Systems

Redbooks, published 5 Apr 2016

This IBM® Redbooks® publication introduces the IBM Reference Architecture for Genomics, IBM Power Systems™ edition on IBM POWER8®. It addresses topics such as why you would implement Life Sciences workloads on IBM POWER8, and shows how to use such solution to run Life Sciences workloads using IBM Platform™ Computing software to help set up the workloads. It also provides technical content to introduce the IBM POWER8 clustered solution for Life Sciences workloads. This book customizes and tests Life Sciences workloads with a combination of an IBM Platform Computing software solution stack, ... [more]


cover image

IBM Operational Decision Manager: Enabling the Rule Engine to Augment the Decision Data
Smarter Process

Redpaper, published 18 Mar 2016

This IBM® Redpaper™ publication describes IBM Operational Decision Manager (ODM), which is a set of tooling and interfaces that provides an architecture that can encapsulate your decision logic away from program code into rules. These rules are rendered as natural language. Decisions are now more agile, adaptable to change, and visible to those who need them. This Redpaper publication describes a means to use additional data with your rules.


cover image

IBM Spectrum Scale and ECM FileNet Content Manager Are a Winning Combination: Deployment Variations and Value-added Features
Software Defined Storage

Redpaper, published 4 Mar 2016

This IBM® Redpaper™ publication describes various deployment options to configure IBM enterprise content management (ECM) FileNet® Content Manager components to use IBM Spectrum Scale™ (formerly known as IBM GPFS™) as back-end storage. The paper also describes various IBM Spectrum Scale value-added features with FileNet Content Manager to facilitate an efficient and effective data-management solution.


The above is a list of IBM Redbooks and Redpapers on Analytics, showing most recently published first. Most of these publications are available in Adobe PDF format and may be viewed online or downloaded for offline viewing and printing. Read our How to buy page for details on how to order a bound hardcopy.



IBM Redbooks Mobile App
Redbooks mobile app

The newest version of the official IBM Redbooks mobile app provides automated notifications for new and updated Redbooks content that is specifically tailored to your interests.

App Store badge

Google Play badge

Follow IBM Redbooks

Follow IBM Redbooks