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

December 07, 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 |

Creating An Integrated BI And Data Warehousing Architecture For Effective Management Of Analytical Workloads by Teradata

October 18, 2012 - (Free Research)
Traditional business intelligence (BI) tools no longer cut it in the era of big data analytics as workloads and data requests continue to grow in complexity. Attend this exclusive webcast to learn the benefits of leveraging an integrated BI and data warehouse architecture to meet the increasingly-complex demands of the modern enterprise. 
(PRESENTATION TRANSCRIPT) READ ABSTRACT |

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

May 22, 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 |

Sybase IQ: An Advanced Columnar Data Warehouse Architecture by Sybase, an SAP company

August 05, 2010 - (Free Research)
A Winter Corporation white paper, this paper examines the architecture and performance of Sybase IQ in view of the requirements of demanding new BI and data warehouse applications. Read this paper to learn more. 
(WHITE PAPER) READ ABSTRACT |

Can Data Warehousing Survive Big Data by Arrow and HP

October 06, 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 |

E-Book: Data Warehousing Technology Trends by HP

December 02, 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 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)

E-Guide: Best practices for managing the data warehouse to support Big Data by SAP America, Inc.

October 11, 2011 - (Free Research)
This e-guide focuses on how to develop a foundation, including a discussion of when to update older technologies or modify a current data warehouse architecture to match today's new requirements. 
(EGUIDE) READ ABSTRACT |

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 |

Data Warehousing and Business Intelligence for IBM System z by IBM

June 01, 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 |

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

November 02, 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 |

Data warehouse augmentation: the queryable data store by IBM

December 31, 2013 - (Free Research)
This white paper highlights how organizations can leverage big data to solve business challenges. It focusses on queryable data stores as a way to reduce costs and gain business insights. 
(WHITE PAPER) READ ABSTRACT |

Extreme Warehouse Speed for Fast Business Decisions by IBM

December 31, 2012 - (Free Research)
This e-book explores how forward-looking organizations like yours are using extremely rapid, highly effective analysis of data to change the way they make decisions – enabling them to predict shifts in business and proactively adjust for better business outcomes. 
(WHITE PAPER) READ ABSTRACT |

Presentation Transcript: Big Data Analytics- Profiling the Use of Analytic Platforms in User Organizations.pdf by BeyeNETWORK

December 06, 2011 - (Free Research)
In this presentation transcript, business intelligence (BI) expert Wayne Eckerson deep dives into the world of big-data analytics. He touches on the movement itself, what is behind it and offers up best practices for performing it. Eckerson also discusses big-data analytics engines and describes the framework for implementing big-data analytics. 
(PRESENTATION TRANSCRIPT) READ ABSTRACT |

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 |

IBM DB2 9.7 and Smart Analytics Systems: Architecture and Key Capabilities for Data Warehousing (WinterCorp) by IBM

March 17, 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 |

Integrating Analytics into the Operational Fabric of Your Business by IBM

April 18, 2012 - (Free Research)
Read this paper by industry expert Dr. Barry Devlin and learn everything you need to know about operational analytics and how it can benefit your business. Discover its relationship to BI, how traditional data warehouse support it, its architectural advantages and so much more. 
(WHITE PAPER) 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 |

Microsoft® SQL Server® 2008 R2 Parallel Data Warehouse and Fast Track Data Warehouse Run on Intel® Xeon® Processors by Intel and Microsoft

March 29, 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 |

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 |

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 |

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 |

Rack Powering Options for High Density by APC by Schneider Electric

July 2009 - (Free Research)
In this APC whitepaper, alternatives for providing electrical power to high density racks in data centers and network rooms are explained and compared as well as defined guidelines for rack power systems that can reliably deliver power to high density loads while adapting to changing needs. 
(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 |

Real Time Data Integration: Using Change Data Capture Technology with Microsoft SSIS by Attunity

July 2008 - (Free Research)
Change data capture (CDC) technology has become a strategic component of many data warehouse and business intelligence (BI) architectures. Read this paper and learn how to use change date capture technology with Microsoft SQL server intergration services in real time. 
(WHITE PAPER) READ ABSTRACT |

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