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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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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]


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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]


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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]


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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]


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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]


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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]


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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.


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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.



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