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Oracle Exadata Database Machine Warehouse Architectural Comparisons by Oracle Corporation

February 18, 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 |

Squeezing More Value out of Data Warehouses through the Power of Database Compression by Vertica Systems

December 2008 - (Free Research)
Data compression features in data warehouse databases are the current trend, and this paper explains the benefits of compression in data warehousing and differentiates compression approaches taken by different databases. 
(WHITE PAPER) READ ABSTRACT |

E-Guide: Developing a Strategy for and Implementing Real-time BI and Analytics by Tableau Software

April 2011 - (Free Research)
Many organizations are realizing the interesting and paradoxical pattern that exists with BI applications: the more you use them, the more new and different requirements keep pouring in. Read this E-Guide and learn to gain a stronger understanding of your customers and business as well as to excel in today’s competitive market with real-time BI. 
(EGUIDE) 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 |

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

June 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 |

Business Intelligence Services and Solutions by Accenture

Accenture brings together a deep understanding of the business and technology dimensions of an organization to harness information to improve decision-making, financial management, regulatory compliance and customer service. 
(SOFTWARE PRODUCT)

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 |

Eight Ways Composite Data Virtualization Adds Value to Enterprise Data Warehousing by Composite Software

March 2011 - (Free Research)
In this paper you will learn eight specific integration patterns that combine both enterprise data warehouses and data virtualization. Each pattern includes the data warehousing challenge, the enterprise data warehouse and Composite data virtualization combined solution, and example use cases. 
(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 |

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 |

Demystifying Data Loss Prevention: Requirements for Comprehensive Protection by DynTek Inc. and McAfee

May 2008 - (Free Research)
Learn how Data Loss Prevention technology provides unprecedented visibility intohow data is used, and by whom, why, and when. With this insight, you can define and enforce data usage policies that help prevent both accidental and malicious data loss. 
(WHITE PAPER) READ ABSTRACT |

Solution Spotlight: The Future of Data Warehousing Infrastructure and Architectures by IBM

May 2014 - (Free Research)
This e-guide examines why the data warehousing appliance business case must trump traditional tools for business to address needs such as costs, flexibility and agility while eliminating key technology silos. 
(EGUIDE) 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 |

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 |

Teradata Active Data Warehouse Private Cloud: Mitigate Risk and Meet Dynamic Business Needs by Teradata

July 2012 - (Free Research)
Check out this article now to learn about public v. private clouds and how they stack up when it comes to mitigating risk and meeting business needs. 
(WHITE PAPER) READ ABSTRACT |

Fast-Tracking Data Warehousing & Business Intelligence Projects via Intelligent Data Modeling by Embarcadero Technologies, Inc.

January 2010 - (Free Research)
Often times Business Intelligence (BI) projects miss the mark with their business users because the proper documenting of required data and related business rules is not executed. This paper looks at fast-tracking data warehousing and BI projects using data modeling. 
(WHITE PAPER) READ ABSTRACT |

“Light Concurrency” data warehouse appliances from HP and Microsoft have slow access to critical business data by IBM

June 2011 - (Free Research)
This blog entry explains why business intelligence is critical to the success of today's companies. Discover the differences between light and high concurrency data warehouse appliances and find out which ones can deliver strategic insights in less time. 
(INFORMATION CENTER) READ ABSTRACT |

The Case for Log Management Warehousing – An ESG Analyst Brief by Hewlett-Packard Company

March 2010 - (Free Research)
As log management and analysis needs evolve, legacy products can’t scale, accommodate uncommon log file formats, or provide the right level of real-time or historical analysis. These requirements are driving a transition to a new model called log management warehousing. 
(ANALYST BRIEF) READ ABSTRACT |

Fast-Tracking Data Warehousing & BI Projects via Intelligent Data Modeling by Embarcadero Technologies, Inc.

February 2010 - (Free Research)
At the core of any BI should be the ability to align business needs with the data infrastructure supporting them. This is almost impossible to do without a data model. Yet many BI implementers do not understand the need for these design components. This paper will examine the major benefits that data models have on BI environments. 
(WHITE PAPER) READ ABSTRACT |

IBM: What we learned from data marts and consolidation by IBM

April 2011 - (Free Research)
This blog post takes a closer look at data marts and how data warehouses evolved from them. Learn about the pros and cons of this technology as well as trends to expect for the future. 
(INFORMATION CENTER) 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 |

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

by Oracle Corporation

September 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 |

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 |

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