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IBM InfoSphere


1. 

IBM InfoSphere Streams: Accelerating Deployments with Analytic Accelerators

IBM InfoSphere Streams: Accelerating Deployments with Analytic Accelerators

By: Chuck Ballard; Oliver Brandt; Bharath Devaraju; Daniel Farrell; Kevin Foster; Chris Howard; Peter Nicholls; Ankit Pasricha; Roger Rea; Norbert Schulz; Tetsuya Shimada; John Thorson; Sandra Tucker; Robert Uleman

Publisher: IBM Redbooks

Publication Date: 07-FEB-2014

Insert Date: 11-FEB-2014

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This IBM® Redbooks® publication describes visual development, visualization, adapters, analytics, and accelerators for IBM InfoSphere® Streams (V3), a key component of the IBM Big Data platform. Streams was designed to analyze data in motion, and can perform analysis on incredibly high volumes with high velocity, using a wide variety of analytic functions and data types. The Visual Development environment extends Streams Studio with drag-and-drop development, provides round tripping with existing text editors, and is ideal for rapid prototyping. Adapters facilitate getting data in and out...

2. 

Building 360-degree Information Applications

Building 360-degree Information Applications

By: Whei-Jen Chen; Bruce Adams; Arun Manoharan; Luke Palamara; Jennifer Reed; Bill von Hagen

Publisher: IBM Redbooks

Publication Date: 31-JAN-2014

Insert Date: 05-FEB-2014

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Today's businesses, applications, social media, and online transactions generate more data than ever before. This data can be explored and analyzed to provide tremendous business value. IBM® InfoSphere® Data Explorer (Data Explorer) enables organizations to simultaneously explore and derive insights from enterprise data that was traditionally stored in "silos" in enterprise applications, different data repositories, and in different data formats. Applications developed using Data Explorer identify data relationships across these silos, unlocking the business value that is inherent in a...

3. 

Performance Management: Using IBM InfoSphere Optim Performance Manager and Query Workload Tuner

Performance Management: Using IBM InfoSphere Optim Performance Manager and Query Workload Tuner

By: Chuck Ballard; Ute Baumbach; Holly Hayes; Marcia Miskimen; Lakshmi Palaniappan; Marichu Scanlon; Yong Hua Zeng

Publisher: IBM Redbooks

Publication Date: 16-OCT-2013

Insert Date: 19-DEC-2013

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This IBM® Redbooks® publication describes the architecture and components of IBM InfoSphere® Optim™ Performance Manager Extended Edition. Intended for DBAs and those involved in systems performance, it provides information for installation, configuration, and deployment. InfoSphere Optim Performance Manager delivers a new paradigm used to monitor and manage database and database application performance issues. It describes product dashboards and reports and provides scenarios for how they can be used to identify, diagnose, prevent, and resolve database performance problems. IBM...

4. 

IBM InfoSphere Information Server Deployment Architectures

IBM InfoSphere Information Server Deployment Architectures

By: Chuck Ballard; Tuvia Alon; Naveen Dronavalli; Stephen Jennings; Mark Lee; Sachiko Toratani

Publisher: IBM Redbooks

Publication Date: 07-DEC-2012

Insert Date: 13-DEC-2013

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Typical deployment architectures introduce challenges to fully using the shared metadata platform across products, environments, and servers. Data privacy and information security requirements add even more levels of complexity. IBM® InfoSphere® Information Server provides a comprehensive, metadata-driven platform for delivering trusted information across heterogeneous systems. This IBM Redbooks® publication presents guidelines and criteria for the successful deployment of InfoSphere Information Server components in typical logical infrastructure topologies that use shared metadata...

5. 

A Practical Guide to Managing Reference Data with IBM InfoSphere Master Data Management Reference Data Management Hub

A Practical Guide to Managing Reference Data with IBM InfoSphere Master Data Management Reference Data Management Hub

By: Whei-Jen Chen; John Baldwin; Thomas Dunn; Mike Grasselt; Shabbar Hussain; Dan Mandelstein; Ivan Milman; Erik A O'Neill; Sushain Pandit; Ralph Tamlyn; Fenglian Xu

Publisher: IBM Redbooks

Publication Date: 02-MAY-2013

Insert Date: 18-SEP-2013

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IBM® InfoSphere® Master Data Management Reference Data Management Hub (InfoSphere MDM Ref DM Hub) is designed as a ready-to-run application that provides the governance, process, security, and audit control for managing reference data as an enterprise standard, resulting in fewer errors, reduced business risk and cost savings. This IBM Redbooks® publication describes where InfoSphere MDM Ref DM Hub fits into information management reference architecture. It explains the end-to-end process of an InfoSphere MDM Ref DM Hub implementation including the considerations of planning a reference...

6. 

Implementing IBM InfoSphere BigInsights on IBM System x

Implementing IBM InfoSphere BigInsights on IBM System x

By: Mike Ebbers; Renata Ghisloti de Souza; Marcelo Correia Lima; Peter McCullagh; Michael Nobles; Dustin VanStee; Brandon Waters

Publisher: IBM Redbooks

Publication Date: 12-JUN-2013

Insert Date: 13-SEP-2013

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As world activities become more integrated, the rate of data growth has been increasing exponentially. And as a result of this data explosion, current data management methods can become inadequate. People are using the term big data (sometimes referred to as Big Data) to describe this latest industry trend. IBM® is preparing the next generation of technology to meet these data management challenges. To provide the capability of incorporating big data sources and analytics of these sources, IBM developed a stream-computing product that is based on the open source computing framework...

7. 

Addressing Data Volume, Velocity, and Variety with IBM InfoSphere Streams V3.0

Addressing Data Volume, Velocity, and Variety with IBM InfoSphere Streams V3.0

By: Mike Ebbers; Ahmed Abdel-Gayed; Veera Bhadran Budhi; Ferdiansyah Dolot; Vishwanath Kamat; Ricardo Picone; João Trevelin

Publisher: IBM Redbooks

Publication Date: 12-MAR-2013

Insert Date: 22-AUG-2013

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There are multiple uses for big data in every industry—from analyzing larger volumes of data than was previously possible to driving more precise answers, to analyzing data at rest and data in motion to capture opportunities that were previously lost. A big data platform will enable your organization to tackle complex problems that previously could not be solved using traditional infrastructure. As the amount of data available to enterprises and other organizations dramatically increases, more and more companies are looking to turn this data into actionable information and intelligence in...

8. 

Virtualized Business Intelligence with InfoSphere Warehouse

Virtualized Business Intelligence with InfoSphere Warehouse

By: Adriana Carvajal; Thomas Chong

Publisher: IBM Redbooks

Publication Date: 05-OCT-2012

Insert Date: 15-OCT-2012

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With the benefit of advanced analytics such as online analytical processing (OLAP), data mining, and text analytics, the IBM® InfoSphere® Warehouse Enterprise Edition brings sophisticated business intelligence (BI) to warehouse users. InfoSphere Warehouse allows you to run extreme concurrent query volumes that can help answer questions for all types of business users, while consistently meeting service level requirements. Combined with a virtualization platform and a solid BI solution, such as IBM Cognos®, you can deliver BI cloud services with improved flexibility and speed to your...

9. 

Solving Operational Business Intelligence with InfoSphere Warehouse Advanced Edition

Solving Operational Business Intelligence with InfoSphere Warehouse Advanced Edition

By: Whei-Jen Chen; Pat Bates; Timothy Donovan; Garrett Fitzsimons; Jon Lind; Rogerio Silva

Publisher: IBM Redbooks

Publication Date: 02-OCT-2012

Insert Date: 15-OCT-2012

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IBM® InfoSphere® Warehouse is the IBM flagship data warehouse platform for departmental data marts and enterprise data warehouses. It offers leading architecture, performance, backup, and recovery tools that help improve efficiency and reduce time to market through increased understanding of current data assets, while simplifying the daily operations of managing complex warehouse deployments. InfoSphere Warehouse Advanced Enterprise Edition delivers an enhanced set of database performance, management, and design tools. These tools assist companies in maintaining and increasing value from...

10. 

Smarter Modeling of IBM InfoSphere Master Data Management Solutions

Smarter Modeling of IBM InfoSphere Master Data Management Solutions

By: Jan-Bernd Bracht; Joerg Rehr; Markus Siebert; Rouven Thimm

Publisher: IBM Redbooks

Publication Date: 11-JUL-2012

Insert Date: 24-JUL-2012

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This IBM® Redbooks® publication presents a development approach for master data management projects, and in particular, those projects based on IBM InfoSphere® MDM Server. The target audience for this book includes Enterprise Architects, Information, Integration and Solution Architects and Designers, Developers, and Product Managers. Master data management combines a set of processes and tools that defines and manages the non-transactional data entities of an organization. Master data management can provide processes for collecting, consolidating, persisting, and distributing this...

11. 

InfoSphere DataStage for Enterprise XML Data Integration

InfoSphere DataStage for Enterprise XML Data Integration

By: Chuck Ballard; Vinay Bhat; Shruti Choudhary; Ravi Ravindranath; Enrique Amavizca Ruiz; Aaron Titus

Publisher: IBM Redbooks

Publication Date: 23-MAY-2012

Insert Date: 31-MAY-2012

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XML is one of the most common standards for the exchange of information. However, organizations find challenges in how to address the complexities of dealing with hierarchical data types, particularly as they scale to gigabytes and beyond. In this IBM® Redbooks® publication, we discuss and describe the new capabilities in IBM InfoSphere® DataStage® 8.5. These capabilities enable developers to more easily manage the design and processing requirements presented by the most challenging XML sources. Developers can use these capabilities to create powerful hierarchical transformations and to parse...

12. 

Smarter Business: Dynamic Information with IBM InfoSphere Data Replication CDC

Smarter Business: Dynamic Information with IBM InfoSphere Data Replication CDC

By: Chuck Ballard; Alec Beaton; Mark Ketchie; Frank Ketelaars; Anzar Noor; Judy Parkes; Deepak Rangarao; Bill Shubin; Wim Van Tichelen

Publisher: IBM Redbooks

Publication Date: 09-MAR-2012

Insert Date: 20-MAR-2012

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To make better informed business decisions, better serve clients, and increase operational efficiencies, you must be aware of changes to key data as they occur. In addition, you must enable the immediate delivery of this information to the people and processes that need to act upon it. This ability to sense and respond to data changes is fundamental to dynamic warehousing, master data management, and many other key initiatives. A major challenge in providing this type of environment is determining how to tie all the independent systems together and process the immense data flow requirements....

13. 

IBM InfoSphere Replication Server and Data Event Publisher

IBM InfoSphere Replication Server and Data Event Publisher

By: Pav Kumar Chatterjee;

Publisher: Packt Publishing

Publication Date: 18-AUG-2010

Insert Date: 13-JAN-2012

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" Design, implement, and monitor a successful Q replication and Event Publishing project with IBM InfoSphere Replication Server and Data Event Publisher using this book and eBook Covers the toolsets needed to implement a successful Q replication project Aimed at the Linux, Unix, and Windows operating systems, with many concepts common to z/OS as well A chapter dedicated exclusively to WebSphere MQ for the DB2 DBA Detailed step-by-step instructions for 13 Q replication scenarios with troubleshooting and monitoring tips Written in a conversational and easy to follow...

14. 

InfoSphere DataStage Parallel Framework Standard Practices

InfoSphere DataStage Parallel Framework Standard Practices

By: Julius Lerm; Paul Christensen

Publisher: IBM Redbooks

Publication Date: 30-JUL-2010

Insert Date: 13-JAN-2012

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In this IBM® Redbooks® publication, we present guidelines for the development of highly efficient and scalable information integration applications with InfoSphere™ DataStage® (DS) parallel jobs. InfoSphere DataStage is at the core of IBM Information Server, providing components that yield a high degree of freedom. For any particular problem there might be multiple solutions, which tend to be influenced by personal preferences, background, and previous experience. All too often, those solutions yield less than optimal, and non-scalable, implementations. This book includes a comprehensive...

15. 

Implementing an InfoSphere Optim Data Growth Solution

Implementing an InfoSphere Optim Data Growth Solution

By: Whei-Jen Chen; David Alley; Barbara Brown; Sunil Dravida; Saunnie Dunne; Tom Forlenza; Pamela S Hoffman; Tejinder S Luthra; Rajat Tiwary; Claudio Zancani

Publisher: IBM Redbooks

Publication Date: 09-NOV-2011

Insert Date: 15-NOV-2011

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Today, organizations face tremendous challenges with data explosion and information governance. InfoSphere™ Optim™ solutions solve the data growth problem at the source by managing the enterprise application data. The Optim Data Growth solutions are consistent, scalable solutions that include comprehensive capabilities for managing enterprise application data across applications, databases, operating systems, and hardware platforms. You can align the management of your enterprise application data with your business objectives to improve application service levels, lower costs, and mitigate...

16. 

Metadata Management with IBM InfoSphere Information Server

Metadata Management with IBM InfoSphere Information Server

By: Jackie Zhu; Tuvia Alon; Gregory Arkus; Randy Duran; Marc Haber; Robert Liebke; Frank Morreale Jr.; Itzhak Roth; Alan Sumano

Publisher: IBM Redbooks

Publication Date: 18-OCT-2011

Insert Date: 23-OCT-2011

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What do you know about your data? And how do you know what you know about your data? Information governance initiatives address corporate concerns about the quality and reliability of information in planning and decision-making processes. Metadata management refers to the tools, processes, and environment that are provided so that organizations can reliably and easily share, locate, and retrieve information from these systems. Enterprise-wide information integration projects integrate data from these systems to one location to generate required reports and analysis. During this type of...

17. 

IBM InfoSphere Streams: Assembling Continuous Insight in the Information Revolution

IBM InfoSphere Streams: Assembling Continuous Insight in the Information Revolution

By: Chuck Ballard; Kevin Foster; Andy Frenkiel; Bugra Gedik; Michael P. Koranda; Senthil Nathan; Deepak Rajan; Roger Rea; Mike Spicer; Brian Williams; Vitali N. Zoubov

Publisher: IBM Redbooks

Publication Date: 10-OCT-2011

Insert Date: 15-OCT-2011

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In this IBM® Redbooks® publication, we discuss and describe the positioning, functions, capabilities, and advanced programming techniques for IBM InfoSphere™ Streams (V2), a new paradigm and key component of IBM Big Data platform. Data has traditionally been stored in files or databases, and then analyzed by queries and applications. With stream computing, analysis is performed moment by moment as the data is in motion. In fact, the data might never be stored (perhaps only the analytic results). The ability to analyze data in motion is called real-time analytic processing (RTAP). IBM...

18. 

IBM InfoSphere Streams Harnessing Data in Motion

IBM InfoSphere Streams Harnessing Data in Motion

By: Chuck Ballard; Daniel M Farrell; Mark Lee; Paul D Stone; Scott Thibault; Sandra Tucker

Publisher: IBM Redbooks

Publication Date: 14-SEP-2010

Insert Date: 02-OCT-2010

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In this IBM® Redbooks® publication, we discuss and describe the positioning, functions, capabilities, and advanced programming techniques for IBM InfoSphere™ Streams. Stream computing is a new paradigm. In traditional processing, queries are typically run against relatively static sources of data to provide a query result set for analysis. With stream computing, a process that can be thought of as a continuous query, that is, the results are continuously updated as the data sources are refreshed. So, traditional queries seek and access static data, but with stream computing, a continuous...

19. 

InfoSphere Warehouse: A Robust Infrastructure for Business Intelligence

InfoSphere Warehouse: A Robust Infrastructure for Business Intelligence

By: Chuck Ballard; Nicole Harris; Andrew Lawrence; Meridee Lowry; Andy Perkins; Sundari Voruganti

Publisher: IBM Redbooks

Publication Date: 18-JUN-2010

Insert Date: 01-OCT-2010

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In this IBM® Redbooks® publication we describe and demonstrate Version 9.7 of IBM InfoSphere™ Warehouse. InfoSphere Warehouse is a comprehensive platform with all the functionality required for developing robust infrastructure for business intelligence solutions. It enables companies to access and analyze operational and historical information, whether structured or unstructured, to gain business insight for improved decision making. InfoSphere Warehouse solutions simplify the processes of developing and maintaining a data warehousing infrastructure and can significantly enhance the time to...

20. 

Master Data Management: Rapid Deployment Package for MDM

Master Data Management: Rapid Deployment Package for MDM

By: Nagraj Alur; Alex Baryudin; Mike Carney; Priyanka Deswal; Tim Davis; Elizabeth Dial; Norbert Eschle; Clive Hannah; Patrick Owen; Barry Rosen; Torben Skov

Publisher: IBM Redbooks

Publication Date: 20-APR-2009

Insert Date: 19-MAY-2009

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IBM InfoSphere Rapid Deployment Package (RDP) for MDM provides a rapid deployment approach to implementing MDM solutions that provide immediate return on investment. It provides a seamless upgrade path to IBM InfoSphere MDM Server which provides the complete range of MDM functionally in the market today. In this IBM® Redbooks® publication, we use a simple financial services MDM scenario to describe in detail the RDP for MDM offering and show how it can deliver a return on investment in a short timeframe using a phased approach that ensures minimal risk. ...