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Data Warehouses
1. |  Getting Started with Amazon Redshift By: Stefan Bauer; Publisher: Packt Publishing Publication Date: 14-JUN-2013 Insert Date: 15-JUN-2013 Slots: 1.0 | Overview: Getting Started with Amazon Redshift
Enter the exciting world of Amazon Redshift for big data, cloud computing, and scalable Data Warehousing
Step-by-step instructions to create and manage your Redshift cluster
Understand the technology behind the database engine, as you learn about compression, block level storage, and column stores
Learn the implementation and database design considerations you will need to understand to successfully implement your own Amazon Redshift cluster
In Detail
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service. It provides an excellent approach to...
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2. |  By: Peter Zadrozny; Raghu Kodali Publisher: Apress Publication Date: 22-MAY-2013 Insert Date: 12-JUN-2013 Slots: 1.0 |
Big Data Analytics Using Splunk is a hands-on book showing how to process and derive business value from big data in real time. Examples in the book draw from social media sources such as Twitter (tweets) and Foursquare (check-ins). You also learn to draw from machine data, enabling you to analyze, say, web server log files and patterns of user access in real time, as the access is occurring. Gone are the days when you need be caught out by shifting public opinion or sudden changes in customer behavior. Splunk's easy to use engine helps you recognize and react in real time, as events are...
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3. |  Agile Data Warehousing Project Management By: Ralph Ralph Hughes Publisher: Morgan Kaufmann Publication Date: 28-DEC-2012 Insert Date: 22-JAN-2013 Slots: 1.0 | Overview: Agile Data Warehousing Project Management
You have to make sense of enormous amounts of data, and while the notion of “agile data warehousing? might sound tricky, it can yield as much as a 3-to-1 speed advantage while cutting project costs in half. Bring this highly effective technique to your organization with the wisdom of agile data warehousing expert Ralph Hughes. Agile Data Warehousing Project Management will give you a thorough introduction to the method as you would practice it in the project room to build a serious “data mart.? Regardless of where you are today, this step-by-step implementation guide will prepare you...
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4. |  Oracle Enterprise Manager Cloud Control 12c: Managing Data Center Chaos By: Porus Homi Havewala; Publisher: Packt Publishing Publication Date: 19-DEC-2012 Insert Date: 21-DEC-2012 Slots: 1.0 | Overview: Oracle Enterprise Manager Cloud Control 12c: Managing Data Center Chaos
"Get to grips with the latest innovative techniques for managing Data Center chaos including performance tuning, security compliance, patching and more.
Learn about the tremendous capabilities of the latest powerhouse version of Oracle Enterprise Manager 12c Cloud Control
Take a deep dive into crucial topics including Provisioning and Patch Automation, Performance Management and Exadata Database Machine Management
Take advantage of the author’s experience as an Oracle Certified Master in this real world guide including enterprise examples and case studies
In...
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5. |  By: Martin White Publisher: O'Reilly Media, Inc. Publication Date: 30-NOV-2012 Insert Date: 27-NOV-2012 Slots: 1.0 | Overview: Enterprise Search Is your organization rapidly accumulating more information than you know how to manage? This book helps you create an enterprise search solution based on more than just technology. Author Martin White shows you how to plan and implement a managed search environment that meets the needs of your business and your employees....
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6. |  Data Mining Techniques in Grid Computing Environments By: Werner Dubitzky Publisher: John Wiley & Sons Publication Date: 30-DEC-2008 Insert Date: 05-NOV-2012 Slots: 1.0 | Overview: Data Mining Techniques in Grid Computing Environments
Based around eleven international real life case studies and including contributions from leading experts in the field this groundbreaking book explores the need for the grid-enabling of data mining applications and provides a comprehensive study of the technology, techniques and management skills necessary to create them. This book provides a simultaneous design blueprint, user guide, and research agenda for current and future developments and will appeal to a broad audience; from developers and users of data mining and grid technology, to advanced undergraduate and postgraduate students...
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7. |  Enhance Your Business Applications: Simple Integration of Advanced Data Mining Functions By: Corinne Baragoin Publisher: IBM Redbooks Publication Date: 24-DEC-2002 Insert Date: 05-NOV-2012 Slots: 1.0 | Overview: Enhance Your Business Applications: Simple Integration of Advanced Data Mining Functions Today data mining is no longer thought of as a set of
stand-alone techniques, far from the business applications, and
used only by data mining specialists or statisticians. Integrating
data mining with mainstream applications is becoming an important
issue for e-business applications. To support this move to
applications, data mining is now an extension of the relational
databases that database administrators or IT developers use. They
use data mining as they would use any other standard relational
function that they manipulate.
This IBM Redbooks publication positions the new DB2 data...
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8. |  By: Douglas Alger Publisher: Prentice Hall Publication Date: 30-SEP-2012 Insert Date: 10-OCT-2012 Slots: 1.0 | Today, data centers are the beating hearts of the companies they
serve. Data centers process billions of Internet transactions every
day. It's therefore critical for companies and IT organizations to
understand the state-of-the-art in data center design. Narrow
aspects - such as cooling, wiring, or power usage - are often the
subject of technical documents. But it's rare to find a holistic
view of how a great data center was designed - until now. In The
Art of the Data Center, Cisco's Douglas Alger takes you behind
the scenes at eighteen of the world's most innovative data centers.
Through...
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9. |  By: Knut Hildebrand; Boris Otto; Anette Weisbecker Publisher: dpunkt Publication Date: 04-SEP-2012 Insert Date: 06-OCT-2012 Slots: 1.0 | Overview: Stammdatenmanagement Stammdaten sind ein wichtiges Gut für Unternehmen, da sie die Grundlage für Geschäftsprozesse bilden, in Geschäftsdokumente eingehen und als Merkmale im Data Warehouse auftreten. Das Stammdatenmanagement ist daher eine der wichtigsten Aufgaben im Unternehmen, die Fach- und IT-Abteilungen nur gemeinsam bewältigen können. Das HMD-Heft 279 greift Themen wie Stammdatenqualität, Lebenzyklusmanagement von Stammdaten und Data Governance auf und liefert hierzu aktuelle praxisorientierte Beiträge sowie Projekt- und Erfahrungsberichte....
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10. |  By: Gary A. Donahue Publisher: O'Reilly Media, Inc. Publication Date: 18-OCT-2012 Insert Date: 06-OCT-2012 Slots: 1.0 | Overview: Arista Warrior Though Arista Networks is a relative newcomer in the data center and cloud networking markets, the company has already had considerable success. In this book, renowned consultant and technical author Gary Donahue (Network Warrior) provides an in-depth, objective guide to Arista’s lineup of hardware, and explains why its network switches and Extensible Operating System (EOS) are so effective....
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11. |  By: Luiz Barroso; Urs Hoelzle Publisher: Morgan & Claypool Publishers Publication Date: 08-JUL-2009 Insert Date: 25-SEP-2012 Slots: 1.0 | Overview: The Datacenter as a Computer As computation continues to move into the cloud, the computing platform of interest no longer resembles a pizza box or a refrigerator, but a warehouse full of computers. These new large datacenters are quite different from traditional hosting facilities of earlier times and cannot be viewed simply as a collection of co-located servers. Large portions of the hardware and software resources in these facilities must work in concert to efficiently deliver good levels of Internet service performance, something that can only be achieved by a holistic approach to their design and...
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12. |  NX-OS and Cisco Nexus Switching: Next-Generation Data Center Architectures, Second Edition By: Ron Fuller; David Jansen; Matthew McPherson Publisher: Cisco Press Publication Date: 13-MAR-2013 Insert Date: 19-SEP-2012 Slots: 1.0 | Overview: NX-OS and Cisco Nexus Switching: Next-Generation Data Center Architectures, Second Edition NX-OS and Cisco Nexus Switching
Next-Generation Data Center
Architectures
Second
Edition
The complete guide to planning, configuring,
managing, and troubleshooting NX-OS in the enterprise—updated
with new technologies and examples
Using Cisco Nexus switches and the NX-OS
operating system, data center professionals can build unified core
networks that deliver unprecedented scalability, resilience,
operational continuity, flexibility, and performance. NX-OS and
Cisco Nexus Switching, Second Edition, is the definitive guide
to applying these breakthrough technologies in...
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13. |  By: Jonathan Leibiusky; Gabriel Eisbruch; Dario Simonassi Publisher: O'Reilly Media, Inc. Publication Date: 10-SEP-2012 Insert Date: 01-SEP-2012 Slots: 1.0 | Overview: Getting Started with Storm Even as big data is turning the world upside down, the next phase of the revolution is already taking shape: real-time data analysis. This hands-on guide introduces you to Storm, a distributed, JVM-based system for processing streaming data. Through simple tutorials, sample Java code, and a complete real-world scenario, you’ll learn how to build fast, fault-tolerant solutions that process results as soon as the data arrives....
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14. |  Implementing Tivoli Data Warehouse V 1.2 By: Edson Manoel; Cristiano Colantuono; Dr. Hans-Georg Köhne; Devi Raju; Ghufran Shah; Sergio Henrique Soares Monteiro Publisher: IBM Redbooks Publication Date: 14-JUN-2004 Insert Date: 13-AUG-2012 Slots: 1.0 | Overview: Implementing Tivoli Data Warehouse V 1.2 With Tivoli Data Warehouse, you can analyze historical trends
from various Tivoli and customer applications. The Tivoli Data
Warehouse infrastructure enables a set of extract, transform, and
load (ETL) utilities to extract and move data from Tivoli
application data stores to a central repository.
The open architecture of Tivoli Data Warehouse also enables data
from non-Tivoli applications to be integrated into its central
repository. Data from the central repository can be extracted into
data marts that pertain to the reporting needs of selected groups.
These data marts can also be used to...
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15. |  By: Paul Westerman Publisher: Morgan Kaufmann Publication Date: 18-AUG-2000 Insert Date: 08-AUG-2012 Slots: 1.0 | Overview: Data Warehousing
At 70 terabytes and growing, Wal-Mart's data warehouse is still the world's largest, most ambitious, and arguably most successful commercial database. Written by one of the key figures in its design and construction, Data Warehousing: Using the Wal-Mart Model gives you an insider's view of this enormous project. Continuously drawing from this example, the author teaches you the general principles and specific techniques you need to understand to be a valuable part of your organization's own data warehouse project, however large or small. You'll emerge with a practical understanding of...
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16. |  Data Jujitsu: The Art of Turning Data into Product By: DJ Patil Publisher: O'Reilly Media, Inc. Publication Date: 15-AUG-2012 Insert Date: 12-JUL-2012 Slots: 0.0 | Overview: Data Jujitsu: The Art of Turning Data into Product Acclaimed data scientist DJ Patil details a new approach to solving problems in Data Jujitsu.Learn how to use a problem's "weight" against itself to:Break down seemingly complex data problems into simplified parts
Use alternative data analysis techniques to examine them
Use human input, such as Mechanical Turk, and design tricks that enlist the help of your users to take short cuts around tough problems
Learn more about the problems before starting on the solutions—and use the findings to solve them, or determine whether the problems are worth solving at all....
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17. |  Data Mining: Practical Machine Learning Tools and Techniques, 3rd Edition By: Ian H. Witten; Eibe Frank; Geoffrey Holmes Publisher: Morgan Kaufmann Publication Date: 30-JAN-2011 Insert Date: 03-APR-2012 Slots: 1.0 | Overview: Data Mining: Practical Machine Learning Tools and Techniques, 3rd Edition
Like the popular second edition, Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. Inside, you'll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining'including both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. Complementing the book is a fully...
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18. |  By: Jeremy Howard; Margit Zwemer; Mike Loukides Publisher: O'Reilly Media, Inc. Publication Date: 23-MAR-2012 Insert Date: 29-MAR-2012 Slots: 0.0 | Overview: Designing Great Data Products In the past few years, we’ve seen many data products based on predictive modeling. These products range from weather forecasting to recommendation engines like Amazon's. Prediction technology can be interesting and mathematically elegant, but we need to take the next step: going from recommendations to products that can produce optimal strategies for meeting concrete business objectives.
We already know how to build these products: they've been in use for the past decade or so, but they're not as common as they should be. This report shows how to take the next step: to go from simple...
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19. |  Next Generation Data Centers in Financial Services By: Tony Bishop Publisher: Elsevier Science Publication Date: 31-JUL-2009 Insert Date: 13-MAR-2012 Slots: 1.0 | Overview: Next Generation Data Centers in Financial Services Financial markets are witnessing an unprecedented explosion in the availability of data, and the firms that survive will be able to leverage this information to increase their profit and expand their opportunities in a global world. Financial firms have two options: to build their own data centers or to outsource them to hosting services such as Google and Amazon ‘cloud’ services. While outsourcing data centers is a trend for small firms, it is not applicable to bigger firms who want more control over their huge amounts of data. Large firms thus build their own data centers. In such an...
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20. |  By: Christian Matthys; David Bright; Carol Davis; Fabio Hasegawa; Philippe Jachimcsyk; Steve Lockwood; Thomas Marien; Julien Maussion; Stefan Ulrich Publisher: IBM Redbooks Publication Date: 07-APR-2007 Insert Date: 13-FEB-2012 Slots: 1.0 | In order to improve the performance and operational efficiency
of businesses worldwide, a customer using SAP wanted to establish a
global business program to define and implement a standardized,
group-wide business process architecture and associated master data
for the parameterization of the group software tools.
The expected growth of the number of users and the size of the
database would be at a level never reached by other customers,
however, so IBM was asked to undertake the following:
- Test the application to be sure it could sustain such
growth.
- Prove the manageability of the...
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