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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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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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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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