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

December 31, 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 |

Data Warehouse Optimization Embedding Hadoop in Data Warehouse Environments 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 |

Key Considerations in Evaluating Data Warehouse Appliances by Dell Software

December 31, 2012 - (Free Research)
Data warehousing can be an expensive, complicated bag of hardware, software and support. However, adopting a data warehouse appliance will benefit your business today and in the future. In this new white paper, learn about their evolution, pros and cons and if this technology is the right fit for your business. Read it today. 
(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 |

Executing a proof-of-concept tournament for data warehouse appliances by IBM

June 17, 2011 - (Free Research)
This blog entry offers guidelines for comparing various data warehouse appliances. Get detailed advice on setting up an objective proof-of-concept tournament and discover key points to consider when deciding on a solution. 
(INFORMATION CENTER) 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 |

Best practices in Oracle Data Warehousing by ParAccel

January 2013 - (Free Research)
With its noninutrusive method, low-impact, real-time data integration software can liberate your systems from data extract processing batch windows for Oracle data warehousing and allow you to extract data at any time, even when users are online. Read this expert e-guide to learn more about real-time data collection for Oracle data warehouses. 
(EGUIDE) READ ABSTRACT |

E-Guide: Data Warehousing for Growing Data Volumes by Dell and Microsoft

June 2012 - (Free Research)
With an influx of big data flooding businesses everywhere, the data warehousing landscape is changing rapidly. To learn more about the latest trends and advances in the big data management and data warehousing market, as well as steps you should take before investing in new technologies, review this expert e-guide now. 
(EGUIDE) READ ABSTRACT |

E-Guide: Data Warehousing in SQL Server Environments by Dell and Microsoft

June 2012 - (Free Research)
What's different about Microsoft's latest release, SQL Server 2012, that has midsize companies considering it for their big data analytics and data warehousing needs? Read this expert e-guide to find out. Also, find tips on choosing between SQL Server's native backup compression and third-party tools. 
(EGUIDE) 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)

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 |

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

November 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 |

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 |

Benefits of Automating Data Warehousing by UC4 Software, Inc

May 2008 - (Free Research)
Data warehousing can be defined as a copy of data specifically structured for querying and reporting. 
(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 |

A New Breed of Data Warehouse by ASG Software Solutions

February 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 |

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 |

Presentation Transcript: Big Data and Data Warehousing by SAP America, Inc.

November 2011 - (Free Research)
Wayne Eckerson introduces big data and the issues involved in warehousing it as well as an overview of data warehouse architectures for storing big data. 
(PRESENTATION TRANSCRIPT) 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 |

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