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Presentation Transcript: Unraveling the Data Warehouse Performance Traffic Jam by Teradata

December 07, 2012 - (Free Research)
Today's data warehouse architectures can be highly-complex, expensive to maintain and overburdened by the increasing demand for advanced analytical workloads. Review this presentation transcript to learn the importance of deploying database technology that can handle mixed, shifting, and high-concurrency workloads, and more. 
(PRESENTATION TRANSCRIPT) READ ABSTRACT |

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

by Oracle Corporation

September 07, 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 01, 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 |

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

August 05, 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 |

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

September 30, 2009 - (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 |

Big Data Analytics and The New Era of Data Warehousing by Information Builders

December 05, 2011 - (Free Research)
This paper discusses how customer demands have prompted recent changes in the data warehouse market, and how those changes are opening the door for a new breed of vendors beyond those who previously dominated the industry with stack offerings. 
(WHITE PAPER) READ ABSTRACT |

A New Breed of Data Warehouse by ASG Software Solutions

February 08, 2010 - (Free Research)
Read this paper to learn about an emerging data warehouse technology that addresses many of the implementation challenges organizations face. 
(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 |

Oracle Database 11g for Data Warehousing and Business Intelligence by Oracle Corporation UK Ltd

September 2009 - (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 |

Best Practices for a Data Warehouse on Oracle Database 11g by Oracle Corporation

January 2009 - (Free Research)
In order to ensure the enterprise data warehouse will get the optimal performance and will scale as your data set grows you need to get three fundamental things correct, the hardware configuration, the data model and the data loading process. 
(WHITE PAPER) READ ABSTRACT |

Best Practices for Decision Support Systems with Microsoft SQL Server 2012 using Dell EqualLogic PS Series Storage Arrays by Dell and VMware

July 2013 - (Free Research)
This white paper describes sizing and best practices for deploying a data warehouse in order to prevent bottlenecks and deliver a cost-effective solution. 
(WHITE PAPER) READ ABSTRACT |

Tip Guide: 'Big data' poses big challenges for traditional analytics approaches by Sybase, an SAP company

February 2012 - (Free Research)
This expert tip guide from SearchBusinessAnalytics.com is an excellent starting point toward learning about big data analytics and its benefits. It touches on topics such as ill-equipped traditional business intelligence (BI) and data warehousing systems, data processing, Hadoop and more. 
(EGUIDE) READ ABSTRACT |

Microsoft® SQL Server® 2008 R2 Parallel Data Warehouse and Fast Track Data Warehouse Run on Intel® Xeon® Processors by Intel and Microsoft

March 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 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 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 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 |

Magic Quadrant for Data Warehouse Database Management Systems (Gartner) by Teradata

April 2011 - (Free Research)
The data warehouse DBMS market is undergoing a transformation, including many acquisitions, as vendors adapt data warehouses to support the modern business intelligence and analytic workload requirements of users. This document compares 16 vendors, including IBM & Netezza, to help customers find the right one for their needs. 
(WHITE PAPER) READ ABSTRACT |

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

March 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 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 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 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 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 |

E-Book: Data Warehousing Technology Trends by HP

December 2010 - (Free Research)
Technological innovations are rapidly changing data warehouse architectures and providing the potential for substantial performance improvements. Read this e-book to get an update on the most important trends in data warehousing, including appliance technology, columnar databases, in-database analytics and more. 
(EBOOK) READ ABSTRACT |

Data warehousing technology trends by HP

August 2011 - (Free Research)
An eBook that helps selects the right data warehouse platform for your organization and  furthers understanding in-database analytics technology. 
(EBOOK)

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