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WebFOCUS Operational Enterprise Business Intelligence by Information Builders Inc..
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Foglight - Application Management to Unify IT and the Business by Dell Software.
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Maintaining Optimal Data Warehouse Performance by HP

May 31, 2013 - (Free Research)
This brief resource offers insight into the HP AppSystem for Microsoft SQL Server 2012 Parallel Data Warehouse. Inside, learn how this tool, jointly engineered with Microsoft for data warehouse and business intelligence (BI) requirements will help you make key business decisions more quickly. 
(WHITE PAPER) READ ABSTRACT |

Speeding ETL Processing in Data Warehouses by Syncsort

August 2008 - (Free Research)
This white paper discusses how two operations in particular -- joins and aggregations -- play an integral role during preprocessing as well in manipulating and consolidating data in a data warehouse. 
(WHITE PAPER) READ ABSTRACT |

Advances in Data Warehouse Performance by IBM

August 2008 - (Free Research)
Learn how DB2 can help you meet the demands of business intelligence by reducing query response time from hours to seconds, supporting real time data warehousing, and optimizing your storage while lowering operating costs. 
(WHITE PAPER) READ ABSTRACT |

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

December 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 |

Increasing Enterprise Data Warehouse Performance, Longevity and ROI with the Vertica® Analytic Database by Vertica Systems

April 2009 - (Free Research)
Today EDWs are commonplace and a necessity if an organization is to remain competitive and successful. This paper describes how its possible to increase the performance and longevity of the Enterprise Data Warehouse by offloading certain analytic workloads from an existing EDW to a Vertica® Analytic Database. 
(DATA SHEET) READ ABSTRACT |

Exadata is Still Oracle by Teradata

April 2011 - (Free Research)
Sequels are usually never better.  How did Oracle try tackling their underlying performance and scalability problems with the release of their third-generation Exadata solution?  Read our white paper and discover how Oracle’s Exadata delivers far less improvement in data warehouse performance. 
(WHITE PAPER) READ ABSTRACT |

Gaining the Performance Edge Using a Column-Oriented Database Management System by Sybase, an SAP company

June 2009 - (Free Research)
As organizations continue to employ larger data warehouses, the need for performance will continue to outpace the capabilities of traditional relational databases. This paper explores the data explosion and why column-oriented database systems are able to provide the boost needed to gain the performance edge. 
(WHITE PAPER) READ ABSTRACT |

Increase ROI with better enterprise data warehouse performance by Vertica Systems

October 2011 - (Free Research)
Today, Enterprise Data Warehouses (EDW) are treasure troves of information and critical for business operations. Access this resource to discover how offloading certain analytics workloads to a third-party platform can increase the performance and longevity of your EDW. 
(WHITE PAPER) READ ABSTRACT |

Oracle Exadata Online Forum by Oracle Corporation

February 2011 - (Free Research)
Access this Oracle Exadata Online Forum, where Oracle executives, customers, and industry experts come together to share what extreme performance really means for your business. 
(INFORMATION CENTER)

Oracle Database - The best choice for PeopleSoft Applications by Oracle Corporation

April 2010 - (Free Research)
This white paper discusses the business and technology reasons behind customers' continued choice of Oracle Database for their PeopleSoft application deployments. 
(WHITE PAPER) READ ABSTRACT |

Best Practices for Implementing a High-Performance Data Warehouse by SAS

December 2012 - (Free Research)
There are more new forms of data today than ever before, and traditional business intelligence systems cannot always handle the amount of stress from this influx of information.  Check out this white paper to discover a system known as 'high performance data warehousing' that can help you successfully analyze and glean insights from your big data. 
(WHITE PAPER) READ ABSTRACT |

Improving Performance with Oracle Data Warehousing by Oracle Corporation

October 2010 - (Free Research)
For many of today's IT organizations, data management has gotten out of hand. Read this guide for insight into how to pinpoint where data warehousing deficiencies often exist, and to learn how to resolve chronic issues. 
(EBOOK) READ ABSTRACT |

Presentation Transcript: Offloading Your Oracle Analytics for Improved Performance by ParAccel

December 2012 - (Free Research)
Read this presentation transcript to learn how an analytic offload from the warehouse onto an analytical platform can extend the life of your existing data warehouse by up to two years and result in accelerated analytic performance, improved price performance, reduction in database administration and lower storage requirements. 
(PRESENTATION TRANSCRIPT) READ ABSTRACT |

Data Warehouse Optimization Embedding Hadoop in Data Warehouse Environments 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 |

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 |

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 |

Best Practices for Implementing a Data Warehouse on Oracle Exadata Database Machine by Oracle Corporation

November 2010 - (Free Research)
By using the Oracle Exadata Database Machine as a data warehouse platform you have a balanced, high performance hardware configuration. This paper focuses on the other two corner stones, data modeling and data loading, providing a set of best practices and examples for deploying a data warehouse on the Oracle Exadata Database Machine. 
(WHITE PAPER) READ ABSTRACT |

Oracle Exadata Database Machine Warehouse Architectural Comparisons by Oracle Corporation

February 2011 - (Free Research)
Exadata is Oracle’s fastest growing new product. Much of the growth of Exadata has come at the expense of specialized data warehouse appliance vendors. These vendors have published competitive comparisons to Exadata. Continue reading the learn more. 
(DATA SHEET) READ ABSTRACT |

Oracle to Teradata Migration Case Studies: Realizing value and improving capabilities by Teradata

April 2011 - (Free Research)
This paper profiles four of the more than 200 Oracle customers who have migrated to a Teradata solution. The companies profiled in this paper have achieved performance improvements, additional business benefits that justify the migration cost, and successful integration of the Teradata Database with the Oracle OLTP environment. 
(CASE STUDY) 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)

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 |

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 |

Business-Model-Driven Data Warehousing: Keeping Data Warehouses Connected to Your Business by Kalido

June 2008 - (Free Research)
This paper analyzes the issues of conventional data warehouse design process and explains how this practice can be improved using a business-model-driven process in support of effective Business Intelligence. 
(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 |

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