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UCHC Leverages Enterprise Job Scheduling to Automate Data Integration Processes by Cisco Systems, Inc.

January 24, 2012 - (Free Research)
Thinking of launching a data warehousing project? Learn how the University of Connecticut Health Center (UCHC), a leading biomedical research center, healthcare facility, and medical school, achieved end-to end automation of data integration and data loading processes from internal and external data sources to ensure consistent, accurate reporting. 
(CASE STUDY) READ ABSTRACT |

Case Study: University of Connecticut School of Business by Dell, Inc.

October 01, 2010 - (Free Research)
This case study profiles a Connecticut university's data center migration to virtualization optimized servers and storage solutions. Check it out to learn how this school realized a 20% reduction in cooling and power costs, 30% savings in storage costs and a 97% reduction in downtime. Read on to see if you too can double your processing capacity. 
(WHITE PAPER)

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 |

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 |

Data warehousing technology trends by HP

August 31, 2011 - (Free Research)
An eBook that helps selects the right data warehouse platform for your organization and  furthers understanding in-database analytics technology. 
(EBOOK)

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 |

Presentation Transcript: Data Warehousing Basics for SQL Server Analysis Services by Flowerfire, Inc.

November 25, 2009 - (Free Research)
In this transcript of the "Data Warehousing Basics for SQL Server Analysis Services" webcast, learn how to build your data warehouse for your SQL Server environment. Discover the necessary steps involved and learn about major concepts, including relational data warehousing and supported SQL Server Analysis Services (SSAS) storage formats. 
(PRESENTATION TRANSCRIPT) READ ABSTRACT |

Event Data Warehousing by Hexis Cyber Solutions Inc

February 2008 - (Free Research)
This white paper describes that data warehousing should not necessarily be the basis upon which companies retain and query historic data for prolonged periods. 
(WHITE PAPER) READ ABSTRACT |

Cost Effective Techniques for Designing the Data Warehouse by Embarcadero Technologies, Inc.

November 2010 - (Free Research)
A cost effective data warehouse project doesn't have to be an oxymoron. Rather than committing to a full-fledged waterfall style approach, it is possible to build a data warehouse incrementally and inexpensively, while at the same time preserving high-level architectural goals that lead to a true enterprise data warehouse. View this webcast now. 
(WEBCAST) 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 |

Data Warehousing and Business Intelligence for IBM System z by IBM

June 2008 - (Free Research)
Today, data warehousing and business intelligence are mission-critical functions for organizations of all types and sizes. IBM System z supports the entire data warehousing cycle, along with business intelligence software to deliver a total solution infrastruc­ture. Read this white paper to learn 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 |

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 |

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 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 |

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

December 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 |

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 |

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: How to Evaluate Data Warehouse Appliances by Sybase, an SAP company

October 2009 - (Free Research)
Business Intelligence and analytics remain top priorities for organizations seeking to increase revenues and cut costs, but these systems often require a data warehouse to feed them correct and relevant information. This E-Book provides detailed expert advice on how to evaluate, select and prepare your organization for a data warehouse appliance. 
(EBOOK) READ ABSTRACT |

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