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WebFOCUS Operational Enterprise Business Intelligence by Information Builders Inc..
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Microsoft® SQL Server® 2008 R2 Parallel Data Warehouse and Fast Track Data Warehouse Run on Intel® Xeon® Processors by Intel and Microsoft

March 29, 2011 - (Free Research)
Microsoft and Intel are now ready to help organizations turn a new page in data warehousing. Using Microsoft® SQL Server® 2008 R2 Enterprise, you can now quickly deploy small data warehouses or data marts with the Microsoft Fast Track Data Warehouse option. 
(WHITE PAPER) READ ABSTRACT |

Beyond the Data Warehouse: A Unified Information Store (UIS) for Data and Content by Attivio, Inc.

May 27, 2010 - (Free Research)
Since the inception of web 2.0 technologies, there is now a need to unify data and content. This paper defines a UIS architecture as the approach to unification. Continue reading this paper to learn how data and content are uniting and moving beyond the data warehouse and how a UIS architecture is the solution to unification. 
(WHITE PAPER) READ ABSTRACT |

Simple is Better: Overcoming the complexity that robs traditional data warehouses of their full potential by IBM

June 01, 2012 - (Free Research)
Access this white paper to discover a simple approach to data warehousing that is guaranteed to be easy to learn, operate, and own. Traditional data warehousing technologies are complicated and expensive, and actually distract users from focusing on the data. Learn the 10 benefits of a simplistic data warehousing strategy now. 
(WHITE PAPER) READ ABSTRACT |

4 ways to use Hadoop for data warehouse optimization by Talend

September 30, 2013 - (Free Research)
This white paper describes how Hadoop can be used in data warehouse environments to reduce storage and processing costs and to improve the performance of reporting and analysis. 
(WHITE PAPER) READ ABSTRACT |

Solution Spotlight: The Future of Data Warehousing Infrastructure and Architectures by IBM

May 22, 2014 - (Free Research)
This e-guide examines why the data warehousing appliance business case must trump traditional tools for business to address needs such as costs, flexibility and agility while eliminating key technology silos. 
(EGUIDE) READ ABSTRACT |

Architecting Cost-effective Scalable Oracle Data Warehouses by Sun Microsystems, Inc.

May 28, 2009 - (Free Research)
This paper describes reference configuration and sizing information for Oracle data warehouses on Sun servers for small, medium, and large solutions to meet business intelligence/data warehouse needs. 
(WHITE PAPER) READ ABSTRACT |

New Data Warehousing Strategies for Big Data by HP & Intel®

March 12, 2013 - (Free Research)
High-volume unstructured data has its own set of characteristics that often make it too difficult for traditional standalone and relational databases to process.  As a result, a major shift in big data warehousing is taking place, and this expert e-guide will cover how to be successful in tackling the challenges of new warehousing strategies. 
(EGUIDE) READ ABSTRACT |

HP Enterprise Data Warehouse Appliance Optimized for SQL Server 2008 R2 Parallel Data Warehouse by HP and Microsoft

April 22, 2011 - (Free Research)
Read this solution brief for five key benefits of incorporating the Microsoft application platform and HP Converged Infrastructure. 
(ANALYST BRIEF) READ ABSTRACT |

Can Data Warehousing Survive Big Data by Arrow and HP

October 06, 2011 - (Free Research)
This webinar transcript discusses the changes in data and data management because of the explosion of big data. One of the major questions discussed in the webinar is "Will data warehouses survive much longer?" 
(PRESENTATION TRANSCRIPT) READ ABSTRACT |

Presentation Transcript: Five Reasons to Offload Analytics from Your Data Warehouse by ParAccel

December 06, 2011 - (Free Research)
Traditional data warehouse infrastructure struggles to keep up with the expanding demand for a wide and changing variety of analytic workloads.  The result is growing frustration as end-users are forced to use sample data, aggregate data and even restricted in their access to information in standalone or enterprise data warehouses. 
(PRESENTATION TRANSCRIPT) READ ABSTRACT |

Five Reasons to Offload Analytics from Your Data Warehouse by ParAccel

November 21, 2011 - (Free Research)
In this webcast, we consider the novel architectural options presented by new technology and offer 5 reasons to offload analytic workloads from your data warehouse. Topics discussed include the changing business and technology landscape, a new architecture for all business information, 4 criteria for selecting the right offload platform and more! 
(WEBCAST) READ ABSTRACT |

Is a Data Warehouse the Only Option for Business Intelligence? by Information Builders Inc. (E-mail this company)

October 2007 - (Free Research)
While data warehouses are important for many types of analytical systems, they aren’t always necessary. Building a data warehouse can dramatically increase the cost of a BI project. This paper describes data warehouses, along with many other options for placing relevant, timely information in the hands of business users. 
(WHITE PAPER) READ ABSTRACT |

Break the “Add More Nodes” Cycle: IBM Netezza data warehouse appliances allow your data infrastructure to scale by IBM

December 2011 - (Free Research)
Data warehouse appliances have transformed the DW with a platform designed to deliver optimal price and performance with extreme simplicity. This paper outlines the IBM Netezza data warehouse appliance and how it offers extreme time to value, agility and ability to grow with new workloads, cost reduction of ongoing maintenance and more. 
(WHITE PAPER) READ ABSTRACT |

Building a Trusted Warehouse: IBM InfoSphere software and IBM Netezza data warehouse appliances by IBM

November 2011 - (Free Research)
This brief white paper explores the features and benefits of IBM Infosphere Information Server and IBM Netezza data warehouse appliances, including risk reduction, increased performance, quicker growth and more. 
(WHITE PAPER) READ ABSTRACT |

The emerging intersection of data warehousing and analytics by IBM

May 2011 - (Free Research)
In this presentation transcript, BI expert Wayne Eckerson will discuss the emerging intersection of data warehousing and analytics, including the business value in optimizing processes and in-database analytics. 
(PRESENTATION TRANSCRIPT) READ ABSTRACT |

IBM DB2 9.7 and Smart Analytics Systems: Architecture and Key Capabilities for Data Warehousing (WinterCorp) by IBM

March 2011 - (Free Research)
In this 28 page whitepaper, Winter Corporation reviews the product architecture of IBM’s DB2 9.7 and IBM’s Smart Analytics System for consideration by organizations that need a platform for data warehousing, data analytics or business intelligence. 
(WHITE PAPER) READ ABSTRACT |

Comprehensive Data Warehousing & BI Solution with Oracle Database 11g by Oracle Corporation

October 2007 - (Free Research)
This white-paper provides an overview of Oracle Database 11g's capabilities for data warehousing, and discuses its key features and technologies. Discover how to integrate information, perform fast queries, scale to very large data volumes, and more. 
(WHITE PAPER) READ ABSTRACT |

A New Dimension to Data Warehousing: 2011 IOUG Data Warehousing Survey

by Oracle Corporation

September 2011 - (Free Research)
<p>A recent IOUG survey discovered that while most organizations have a well-established data warehouse, acceptance within their companies is still limited. Inside this exclusive study, learn how companies can start taking more advantage of their data warehousing systems to successfully manage the growing amounts of “big data".</p> 
(WHITE PAPER) READ ABSTRACT |

Oracle Database 11g Release 2 for Data Warehousing and Business Intelligence by Oracle Corporation

April 2011 - (Free Research)
This white paper provides an overview of Oracle’s capabilities for data warehousing and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems easily integrate information, perform fast queries, scale to very large data volumes and analyze any data. 
(WHITE PAPER) READ ABSTRACT |

Ebook: How to Evaluate Data Warehouse Appliances by Oracle Corporation

August 2011 - (Free Research)
This E-Book provides detailed expert advice on how to evaluate, select and prepare your organization for a data warehouse appliance. 
(EBOOK)

Ebook: How to Evaluate Data Warehouse Appliances by Oracle Corporation

August 2011 - (Free Research)
This expert E-Book from SearchOracle.com provides detailed advice on how to evaluate, select and prepare your organization for a data warehouse appliance. 
(EBOOK) READ ABSTRACT |

Ebook: How to Evaluate Data Warehouse Appliances by Oracle Corporation

August 2011 - (Free Research)
This expert E-Book from SearchOracle.com provides detailed advice on how to evaluate, select and prepare your organization for a data warehouse appliance. 
(EBOOK) READ ABSTRACT |

Navigating the data warehouse appliance selection and purchase process by Oracle Corporation

May 2011 - (Free Research)
This eBook is an overview of data warehouse appliance trends and practical advice on how to evaluate and choose the right appliances for their organizations. Learn about the limitations of data warehouse appliances and pitfalls to avoid in using them. 
(EBOOK) READ ABSTRACT |

Navigating the data warehouse appliance selection and purchase process by Oracle Corporation

May 2011 - (Free Research)
This eBook is an overview of data warehouse appliance trends and practice advice on how to evaluate and choose the right appliances for your organizations. Learn about the limitations of data warehouse appliances and pitfalls to avoid in using them. 
(EBOOK)

E-Book: Navigating the Data Warehouse Appliance Selection and Purchase Process by Oracle Corporation

May 2011 - (Free Research)
In this E-Book, IT and data warehousing professionals and business executives involved in data warehouse purchases will get an overview of data warehouse appliance trends and practical advice on how to evaluate and choose the right appliances for their organizations. 
(EBOOK) READ ABSTRACT |

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