IBM Data and Analytics Redbooks

VersaStack Solution by Cisco and IBM with IBM DB2, IBM Spectrum Control, and IBM Spectrum Protect
Storage Solutions

Redbooks, published 2 Feb 2016

Dynamic organizations want to accelerate growth while reducing costs. To do so, they must speed the deployment of business applications and adapt quickly to any changes in priorities. Organizations require an IT infrastructure to be easy, efficient, and versatile. The VersaStack solution by Cisco and IBM® can help you accelerate the deployment of your datacenters. It reduces costs by more efficiently managing information and resources while maintaining your ability to adapt to business change. The VersaStack solution combines the innovation of Cisco Unified Computing System (Cisco UCS) ... [more]

Improving Police "Body Cam" Programs with an End-to-End Solution
Data and Analytics

Redpaper, published 8 Jan 2016, last updated 13 Jan 2016

Policing in the 21st Century saw major advances in technology and operational efficiency and an increased focus on accountability. Citizens play a huge role in the equation as critical first communicators at crime and accident scenes. The perspective of the law enforcement officer (LEO) is equally vital. And today, that perspective is frequently, and increasingly, captured by using body-worn cameras (BWCs). This IBM® Redpaper™ publication aims to identify the key technical areas to address when a police agency deploys BWCs. However, rather than focus on the camera itself, we describe a ... [more]

Accelerating Data Transformation with IBM DB2 Analytics Accelerator for z/OS
Data and Analytics

Redbooks, published 10 Dec 2015, last updated 11 Dec 2015

  (based on 1 review)

Transforming data from operational data models to purpose-oriented data structures has been commonplace for the last decades. Data transformations are heavily used in all types of industries to provide information to various users at different levels. Depending on individual needs, the transformed data is stored in various different systems. Sending operational data to other systems for further processing is then required, and introduces much complexity to an existing information technology (IT) infrastructure. Although maintenance of additional hardware and software is one component, ... [more]

Building an API Bridge to Your IBM z Systems Applications and Data
IBM Z

Point-of-View, published 4 Dec 2015

Enterprises worldwide have a wealth of application logic and capabilities that have formed the backbone of their online transaction processing (OLTP) workloads for decades. This application logic and these capabilities are core business assets and are industrial strength, proven, and time-tested. The question enterprises are pondering today is: How can they extend the value these applications provide and reuse parts of the applications to reach new audiences? Application programming interfaces (APIs) make it possible for the enterprise's core assets to be reused, shared, and even monetized ... [more]

Systems of Insight for Digital Transformation: Using IBM Operational Decision Manager Advanced and Predictive Analytics
Smarter Process

Redbooks, published 3 Dec 2015

Systems of record (SORs) are engines that generates value for your business. Systems of engagement (SOE) are always evolving and generating new customer-centric experiences and new opportunities to capitalize on the value in the systems of record. The highest value is gained when systems of record and systems of engagement are brought together to deliver insight. Systems of insight (SOI) monitor and analyze what is going on with various behaviors in the systems of engagement and information being stored or transacted in the systems of record. SOIs seek new opportunities, risks, and ... [more]

Big Data Analytics with IBM Cognos Dynamic Cubes
Data and Analytics

Solution Guide, published 14 Sep 2015, last updated 27 Nov 2015

With IBM® Cognos® Business Intelligence, you have a proven enterprise business intelligence (BI) platform with an open-data access strategy. Because Cognos Business Intelligence uses a business language that is relevant to consumers, you can pull data from various data sources. Then, you can package it into a business model and make it available to consumers in various interfaces that are suited to the task. IBM Cognos Dynamic Cubes, which is a feature of the Cognos Business Intelligence V10.2.2 software, complements the existing query engine. As explained in this IBM Redbooks® Solution ... [more]

Systems of Insight Overview
Smarter Process

Solution Guide, published 17 Nov 2015

Decision making is a critical function in any enterprise. The decision-making process that is enhanced by analytics can be described as consuming and collecting data, detecting relationships and patterns, applying sophisticated analysis techniques, reporting, and automation of the follow-on action. The IT system that supports decision making is composed of the traditional "systems of record", “systems of engagement”, and the “systems of insight”. This IBM® Redbooks® Solution Guide introduces the concept of systems of insight based on what is detailed in the IBM Redbooks publication ... [more]

SAS Business Analytics Deployment on IBM POWER8 Processor-Based Systems: With IBM XIV Storage System and IBM FlashSystem
Flash storage

Redpaper, published 13 Oct 2015, last updated 26 Oct 2015

This IBM® Redpaper™ publication describes the performance tuning guidelines that can help you successfully deploy SAS business analytics on IBM POWER8® processor-based servers. The paper describes the test environment, the testing that was performed, and SAS analytics performance results. The test environment includes the SAS business analytics solution running on an IBM Power System S822 (8284-22A) server with IBM AIX® 7.1 operating system and IBM XIV® Storage System Gen3 with IBM Spectrum™ Scale (formerly IBM GPFS™). This paper also describes the deployment of SAS analytics on IBM ... [more]

Managing Ever-Increasing Amounts of Data with IBM DB2 for z/OS: Using Temporal Data Management, Archive Transparency, and the DB2 Analytics Accelerator
Data and Analytics

Redbooks, published 25 Sep 2015, last updated 20 Oct 2015

  (based on 1 review)

IBM® DB2® Version 11.1 for z/OS® (DB2 11 for z/OS or just DB2 11 throughout this book) is the fifteenth release of DB2 for IBM MVS™. The DB2 11 environment is available either for new installations of DB2 or for migrations from DB2 10 for z/OS subsystems only. This IBM Redbooks® publication describes enhancements that are available with DB2 11 for z/OS. The contents help database administrators to understand the new extensions and performance enhancements, to plan for ways to use the key new capabilities, and to justify the investment in installing or migrating to DB2 11. Businesses are ... [more]

Applying Analytics to IMS Data Helps Achieve Competitive Advantage
IBM Z Software

Point-of-View, published 9 Oct 2015

Business intelligence and analytics helps organization use insights that are drawn from their operational data, which gives them a competitive edge. Traditional copying of data from the source platform to data warehouses is costly and can be a security exposure. Copying data ages data out of its productive use and impedes the delivery of business insight. Data warehouses traditionally do not lend themselves to data intensive analytics. The solution is to bring analytics to the data while retaining the quality of service required by organizations. This IBM Redbooks® Point-of-View publication ... [more]

Best Practices for DB2 on AIX 6.1 for POWER Systems
Data and Analytics

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

  (based on 4 reviews)

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]

Modernize Your IBM DB2 for IBM z/OS Maintenance with Utility Autonomics
Data and Analytics

Redbooks, published 20 Aug 2015

  (based on 1 review)

IBM® DB2® for IBM z/OS® helps lower the cost of managing data by automating administration, increasing storage efficiency, improving performance, and simplifying the deployment of virtual appliances. By automating tasks such as memory allocation, storage management, and business policy maintenance, DB2 is able to perform many management tasks itself, freeing up Database Administrators to focus on new projects. This IBM Redbooks® publication introduces autonomics for DB2 for z/OS. IBM provides several different components that, when combined, can create an autonomic database environment. All ... [more]

IBM Cognos Dynamic Cubes
Data and 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]

Subsystem and Transaction Monitoring and Tuning with DB2 11 for z/OS
Data and Analytics

Redbooks, published 28 Feb 2014, last updated 29 Jul 2015

  (based on 3 reviews)

This IBM® Redbooks® publication discusses in detail the facilities of DB2® for z/OS®, which allow complete monitoring of a DB2 environment. It focuses on the use of the DB2 instrumentation facility component (IFC) to provide monitoring of DB2 data and events and includes suggestions for related tuning. We discuss the collection of statistics for the verification of performance of the various components of the DB2 system and accounting for tracking the behavior of the applications. We have intentionally omitted considerations for query optimization; they are worth a separate document. Use ... [more]

Optimizing Database Administration with IBM DB2 Autonomics for z/OS
Data and Analytics

Solution Guide, published 17 Jul 2015

We live in an age when data is one of an organization’s most important assets. Companies want the ability to deliver the right information to the right people at the right time. Being agile and applying predictive analytics is the key to the insights needed to grow business so that it remains at a peak competitive edge. The cost of database administration can greatly exceed the cost of the database software and hardware, so it is critical that your database administrator’s time is used effectively and efficiently. IBM® DB2® for z/OS® helps lower the cost of managing data by automating ... [more]

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]

IBM Predictive Maintenance and Quality 2.0 Technical Overview
Data and 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]

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]

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]

Designing and Operating a Data Reservoir
Data and Analytics

Redbooks, published 26 May 2015

  (based on 2 reviews)

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]