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IBM InfoSphere
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1. |  Virtualized Business Intelligence with InfoSphere Warehouse By: Adriana Carvajal; Thomas Chong Publisher: IBM Redbooks Publication Date: 05-OCT-2012 Insert Date: 15-OCT-2012 Slots: 1.0 | Overview: Virtualized Business Intelligence with InfoSphere Warehouse 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...
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2. |  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 Slots: 1.0 | Overview: Solving Operational Business Intelligence with InfoSphere Warehouse Advanced Edition 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...
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3. |  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 Slots: 1.0 | Overview: Smarter Modeling of IBM InfoSphere Master Data Management Solutions 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...
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4. |  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 Slots: 1.0 | Overview: InfoSphere DataStage for Enterprise XML Data Integration 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...
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5. |  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 Slots: 1.0 | Overview: Smarter Business: Dynamic Information with IBM InfoSphere Data Replication CDC 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....
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6. |  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 Slots: 1.0 | Overview: IBM InfoSphere Replication Server and Data Event Publisher
"
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...
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7. |  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 Slots: 1.0 | Overview: Implementing an InfoSphere Optim Data Growth Solution 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...
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8. |  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 Slots: 1.0 | Overview: Metadata Management with IBM InfoSphere Information Server 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...
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9. |  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 Slots: 1.0 | Overview: IBM InfoSphere Streams: Assembling Continuous Insight in the Information Revolution 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...
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10. |  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 Slots: 1.0 | Overview: IBM InfoSphere Streams Harnessing Data in Motion 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...
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11. |  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 Slots: 1.0 | Overview: Master Data Management: Rapid Deployment Package for MDM 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.
...
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12. |  InfoSphere Warehouse: Cubing Services and Client Access Interfaces By: Chuck Ballard; Deepak Rangarao; Jimmy Tang; Philip Wittann; Zach Zakharian; Andy Perkins; Robert Frankus Publisher: IBM Redbooks Publication Date: 12-DEC-2008 Insert Date: 29-JAN-2009 Slots: 1.0 | Overview: InfoSphere Warehouse: Cubing Services and Client Access Interfaces
Formerly known as DB2® Warehouse, InfoSphere™
Warehouse enables a unified, powerful data warehousing environment.
It provides access to structured and unstructured data, as well as
operational and transactional data. In this IBM®
Redbooks® publication, we provide a brief overview of
InfoSphere Warehouse, but the primary objective is to discuss and
describe the capabilities of one particular component of the
InfoSphere Warehouse, which is InfoSphere Warehouse Cubing
Services.
InfoSphere Warehouse Cubing Services is designed to provide a
multidimensional view of data stored in...
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13. |  Deploying a Grid Solution with the IBM InfoSphere Information Server By: Nagraj Alur; Anthony Corrente; Robert D. Johnston; Sachiko Toratani Publisher: IBM Redbooks Publication Date: 24-SEP-2008 Insert Date: 27-SEP-2008 Slots: 1.0 | Overview: Deploying a Grid Solution with the IBM InfoSphere Information Server The IBM InfoSphere Information Server and the IBM Blade/GRID
offering is a revolutionary new software/hardware platform
(leveraging Linux on Intel) that helps organizations derive more
value from the complex heterogeneous information spread across
their systems. It enables organizations to integrate disparate data
and deliver trusted information wherever and whenever needed, in
line and in context, to specific people, applications, and
processes.
This IBM Redbooks publication describes a scenario for migrating an
existing InfoSphere Information Server parallel framework
implementation on a...
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14. |  IBM InfoSphere DataStage Data Flow and Job Design By: Nagraj Alur; Celso Takahashi; Sachiko Toratani; Denis Vasconcelos Publisher: IBM Redbooks Publication Date: 07-JUL-2008 Insert Date: 07-AUG-2008 Slots: 1.0 | Overview: IBM InfoSphere DataStage Data Flow and Job Design IBM Information Server is a revolutionary new software platform
that helps organizations derive more value from the complex
heterogeneous information spread across their systems. It enables
organizations to integrate disparate data and deliver trusted
information wherever and whenever needed, in line and in context,
to specific people, applications, and processes.
IBM InfoSphere™ DataStage® is a critical component of
the IBM Information Server, and the parallel framework of IBM
InfoSphere DataStage is also the foundation for IBM InfoSphere
QualityStage and IBM InfoSphere Information...
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