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WebFOCUS Operational Enterprise Business Intelligence by Information Builders Inc..
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IBM Informix Warehouse Accelerator by IBM

October 31, 2011 - (Free Research)
To improve the performance of data warehouse queries while minimizing manual tuning, DBAs can turn to the IBM Informix Warehouse Accelerator. Access this white paper to learn more about how fast response time generates quick answers, quick insights, and an agile business. 
(WHITE PAPER) READ ABSTRACT |

Controlling Data Growth and Managing Complexity in Oracle Environments with Virtual Databases by Delphix

May 20, 2011 - (Free Research)
IDC claims that "development and test databases remain an area of astonishing waste in terms of both storage and staffing costs at many organizations." Delphix provides a simple and effective way to overcome these obstacles. 
(ANALYST BRIEF) READ ABSTRACT |

Master Data Management Projects in Practice - An Information Difference Research Study by Talend

December 01, 2009 - (Free Research)
Organizations are often turning to Master Data Management as a key enabler in improving the timeliness, quality and reliability of BI with the ultimate goal of improving business performance. This survey report presents recommendations on the "do and don't" of MDM as well as some findings on the use of open source and manual coding in MDM projects. 
(WHITE PAPER) READ ABSTRACT |

IDC Paper: Increased Operational Efficency with SAP Central Process Scheduling by SAP America, Inc.

April 2007 - (Free Research)
Read how scheduling tools in SAP Central Process Scheduling by Redwood can help you manage batch jobs along with process automation applications to handle business processes automatically -- with zero manual intervention. 
(WHITE PAPER) READ ABSTRACT |

Managing the Entire Database Security & Compliance Lifecycle by Guardium, an IBM Company

February 2010 - (Free Research)
Increased difficulty in protecting data has heightened the need for organizations to simplify compliance and reduce costs by replacing manual, resource-intensive audit processes with automated controls for all their enterprise applications. Read this data sheet to learn how Guardium 7 addresses the entire database security and compliance lifecycle. 
(DATA SHEET) 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 |

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 |

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)

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 |

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