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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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