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Best Practices for DB2 on AIX 6.1 for POWER Systems
Analytics

Redbooks, published 8 Apr 2010, last updated 27 Aug 2015

This IBM® Redbooks® publication presents a best practices guide for DB2® and InfoSphere™ Warehouse performance on a AIX® 6L with Power Systems™ virtualization environment. It covers Power hardware features such as PowerVM™, multi-page support, Reliability, Availability, and Serviceability (RAS) and how to best exploit them with DB2 LUW workloads for both transactional and data warehousing systems. The popularity and reach of DB2 and InfoSphere Warehouse has grown in recent years. Enterprises are relying more on these products for their mission-critical transactional and data warehousing ... [more]


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IBM Cognos Dynamic Cubes
Analytics

Redbooks, published 31 Jul 2015

IBM® Cognos® Business Intelligence (BI) provides a proven enterprise BI platform with an open data strategy. Cognos BI provides customers with the ability to use data from any source, package it into a business model, and make it available to consumers in various interfaces that are tailored to the task. IBM Cognos Dynamic Cubes complements the existing Cognos BI capabilities and continues the tradition of an open data model. It focuses on extending the scalability of the IBM Cognos platform to enable speed-of-thought analytics over terabytes of enterprise data, without having to invest in a ... [more]


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IBM Software Defined Infrastructure for Big Data Analytics Workloads
Power Systems

Redbooks, published 29 Jun 2015

This IBM® Redbooks® publication documents how IBM Platform Computing, with its IBM Platform Symphony® MapReduce framework, IBM Spectrum Scale (based Upon IBM GPFS™), IBM Platform LSF®, the Advanced Service Controller for Platform Symphony are work together as an infrastructure to manage not just Hadoop-related offerings, but many popular industry offeringsm such as Apach Spark, Storm, MongoDB, Cassandra, and so on. It describes the different ways to run Hadoop in a big data environment, and demonstrates how IBM Platform Computing solutions, such as Platform Symphony and Platform LSF with ... [more]


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IBM Predictive Maintenance and Quality 2.0 Technical Overview
Analytics

Redpaper, published 29 Jun 2015

This IBM® Redpaper™ publication updated technical overview provides essential details about the data processing steps, message flows, and analytical models that power IBM Predictive Maintenance and Quality (PMQ) Version 2.0. The new version of PMQ builds on the first one, released in 2013, to help companies efficiently monitor and maintain production assets and improve their overall availability, utilization, and performance. It analyzes various types of data to detect failure patterns and poor quality parts earlier than traditional quality control methods, with the goal of reducing ... [more]


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IBM Platform Computing Solutions for High Performance and Technical Computing Workloads
Power Systems

Redbooks, published 19 Jun 2015

This IBM® Redbooks® publication is a refresh of IBM Technical Computing Clouds, SG24-8144, Enhance Inbound and Outbound Marketing with a Trusted Single View of the Customer, SG24-8173, and IBM Platform Computing Integration Solutions, SG24-8081, with a focus on High Performance and Technical Computing on IBM Power Systems™. This book describes synergies across the IBM product portfolio by using case scenarios and showing solutions such as IBM Spectrum™ Scale (formerly GPFS™). This book also reflects and documents the IBM Platform Computing Cloud Services as part of IBM Platform Symphony® ... [more]


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Implementing an IBM InfoSphere BigInsights Cluster using Linux on Power
Power Systems

Redbooks, published 16 Jun 2015

This IBM® Redbooks® publication demonstrates and documents how to implement and manage an IBM PowerLinux™ cluster for big data focusing on hardware management, operating systems provisioning, application provisioning, cluster readiness check, hardware, operating system, IBM InfoSphere® BigInsights™, IBM Platform Symphony®, IBM Spectrum™ Scale (formerly IBM GPFS™), applications monitoring, and performance tuning. This publication shows that IBM PowerLinux clustering solutions (hardware and software) deliver significant value to clients that need cost-effective, highly scalable, and robust ... [more]


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Designing and Operating a Data Reservoir
Analytics

Redbooks, published 26 May 2015

Together, big data and analytics have tremendous potential to improve the way we use precious resources, to provide more personalized services, and to protect ourselves from unexpected and ill-intentioned activities. To fully use big data and analytics, an organization needs a system of insight. This is an ecosystem where individuals can locate and access data, and build visualizations and new analytical models that can be deployed into the IT systems to improve the operations of the organization. The data that is most valuable for analytics is also valuable in its own right and typically ... [more]


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Transforming Warranty Processes with the IBM Warranty Analytics Solution
Analytics

Solution Guide, published 12 May 2015

Analyzing warranty data is a complex challenge for companies because the needed insights are often hidden deep within historical claims records. Yet significant cost savings are possible when a detailed examination of claims, including predictive analysis, uncovers warranty fraud, persistent production flaws, errors in published warranty terms, or new ways of resolving product issues faster than before. The IBM® Warranty Analytics solution helps companies automatically integrate great volumes of warranty-related data from across the enterprise and apply advanced analytics to learn where ... [more]


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Implementation Best Practices for IBM DB2 BLU Acceleration with SAP BW on IBM Power Systems
Power Systems

Redbooks, published 11 May 2015

BLU Acceleration is a new technology that has been developed by IBM® and integrated directly into the IBM DB2® engine. BLU Acceleration is a new storage engine along with integrated run time (directly into the core DB2 engine) to support the storage and analysis of column-organized tables. The BLU Acceleration processing is parallel to the regular, row-based table processing found in the DB2 engine. This is not a bolt-on technology nor is it a separate analytic engine that sits outside of DB2. Much like when IBM added XML data as a first class object within the database along with all the ... [more]


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Reliability and Performance with IBM DB2 Analytics Accelerator V4.1
Information Management

Redbooks, published 24 Sep 2014, last updated 11 May 2015

The IBM® DB2® Analytics Accelerator for IBM z/OS® is a high-performance appliance that integrates the IBM zEnterprise® infrastructure with IBM PureData™ for Analytics, powered by IBM Netezza® technology. With this integration, you can accelerate data-intensive and complex queries in a DB2 for z/OS highly secure and available environment. DB2 and the Analytics Accelerator appliance form a self-managing hybrid environment running online transaction processing and online transactional analytical processing concurrently and efficiently. These online transactions run together with business ... [more]


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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