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Best Practices for Implementing a High-Performance Data Warehouse by SAS Institute Inc. 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 |

Best Practices for Implementing a Data Warehouse on Oracle Exadata Database Machine by Oracle Corporation September 30, 2010 - (Free Research) By using the Oracle Exadata Database Machine as a data warehouse platform you have a balanced, high performance hardware configuration. This paper focuses on the other two corner stones, data modeling and data loading, providing a set of best practices and examples for deploying a data warehouse on the Oracle Exadata Database Machine.  (WHITE PAPER) READ ABSTRACT |

Best Practices for Implementing a Data Warehouse on Oracle Exadata Database Machine by Oracle Corporation November 30, 2010 - (Free Research) By using the Oracle Exadata Database Machine as a data warehouse platform you have a balanced, high performance hardware configuration. This paper focuses on the other two corner stones, data modeling and data loading, providing a set of best practices and examples for deploying a data warehouse on the Oracle Exadata Database Machine.  (WHITE PAPER) READ ABSTRACT |

Case Study: IRLY Distributors by Intermec February 13, 2013 - (Free Research) Distributing company, IRL, was looking to implement a full Warehouse Management System (WMS) that would not only fully track all warehouse materials, but provide the technology needed to increase efficiency by 10 percent. Read this case study to learn about the WMS technologies helped them increase productivity and cut training time.  (WHITE PAPER) READ ABSTRACT |

Cost Effective Techniques for Designing the Data Warehouse by Embarcadero Technologies, Inc. November 30, 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 |

Austin Energy – Implementing Effective BI and Data Warehousing in Weeks by Infobright, Inc. November 16, 2010 - (Free Research) This case study looks at how an Austin, TX energy company, Austin Energy, has incorporated business intelligence (BI) best practices to achieve effective data warehousing in a matter of weeks.  (CASE STUDY) READ ABSTRACT |

GS Retail: Lowering TCO by 30 percent with faster, smarter analytics by IBM December 31, 2011 - (Free Research) Access this white paper to learn about GS Retail's decision to implement a new data warehouse analytic system data mart to provide the analytics it needed to propel growth, with better performance and cost efficiency.  (WHITE PAPER) READ ABSTRACT |

ADVANCED WAREHOUSING WITH SAP® EWM by SAP America, Inc. January 29, 2013 - (Free Research) Large warehouses can have an overwhelming amount of responsibility when it comes to ensuring that orders are delivered on time and accurately. Fortunately, a solid supply chain management system can virtually eliminate all problems for warehouse management. View this resource to learn how SAP can improve your business.  (WHITE PAPER) READ ABSTRACT |

The emerging intersection of data warehousing and analytics by IBM May 05, 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 |

White Paper: The Dynamic Warehousing Infrastructure - Establishing a Foundation to Meet New Information Requirements by IBM January 07, 2009 - (Free Research) Learn how to create a roadmap for a truly dynamic warehousing infrastructure, and move ahead of your competition with your business intelligence system.  (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 |

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 |

The Dirty little Secrets of the Warehouse Management Systems Industry by HighJump Software May 2008 - (Free Research) Read this white paper to learn five secrets you should know before you purchase a WMS. Guide your evaluation and selection processes in a way that best benefits your business, your customers and your long-term success and competitive advantage.  (WHITE PAPER) READ ABSTRACT |

Architecting Cost-effective Scalable Oracle Data Warehouses by Sun Microsystems, Inc. May 2009 - (Free Research) This paper describes reference configuration and sizing information for Oracle data warehouses on Sun servers for small, medium, and large solutions to meet business intelligence/data warehouse needs.  (WHITE PAPER) READ ABSTRACT |

Best Practices for a Data Warehouse on Oracle Database 11g by Oracle Corporation January 2009 - (Free Research) In order to ensure the enterprise data warehouse will get the optimal performance and will scale as your data set grows you need to get three fundamental things correct, the hardware configuration, the data model and the data loading process.  (WHITE PAPER) READ ABSTRACT |

Open Sesame: Why Open Source BI, Data Integration, and Data Warehousing Solutions are Gaining in Acceptance - by Dr Claudia Imhoff by Talend June 2009 - (Free Research) This paper examines the challenges faced by organizations today regarding their BI, data integration, and data warehousing environments, why traditional solutions fall short, and the rise of upstart open source companies. Read on to learn more about open source BI, data integration, and data warehousing solutions.  (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 |

Developing a strategy for and implementing real time BI and analytics by Birst March 2012 - (Free Research) Read this expert E-Guide and learn how to gain a stronger understanding of your customers and business as well as how to excel in today’s competitive market with real-time business intelligence (BI).  (EGUIDE) READ ABSTRACT |

Oracle Introduces Oracle Communications Data Model by Oracle Corporation October 2010 - (Free Research) Listen to this podcast to hear Tony Velcich, from Oracle’s Communications Product Management team, discuss the benefits of this solution.  (PODCAST) READ ABSTRACT |

Five Ways ERP Can Help You Implement Lean by Epicor Software Corporation February 2008 - (Free Research) A lean approach to manufacturing can help improve productivity and customer service. Read this white paper to learn how ERP works with lean to identify value and non-value components with your SAP system to give you a competitive edge.  (WHITE PAPER) READ ABSTRACT |

Cost Justification of an Automated Data Collection System by Epicor Software Corporation July 1967 - (Free Research) Learn how automated data collection can help you increase ROI, achieve better information, reduce shipping errors, increase customer satisfaction and improve ef-ficiency of manufacturing operations.  (WHITE PAPER) READ ABSTRACT |

E-Book: Business Intelligence Best Practices and Strategies in SAP Environments by IBM December 2010 - (Free Research) As companies look to get more value from their SAP application investments, BI is hot. But for SAP customers, it’s also a confusing area. In the e-book, readers will learn best practices for forming a BI strategy in SAP environments, including whether to stick with BEx and what to do with BW.  (EBOOK) READ ABSTRACT |

Building the Information Infrastructure for a Global Enterprise: How to Help Your ERP System Keep up with an Expanding Business by Epicor Software Corporation May 2008 - (Free Research) Globalization can have serious impacts on key business processes, and ERP systems must evolve to address the needs of an international company. Learn how you can implement an ERP system fit for a global supply chain.  (WHITE PAPER) READ ABSTRACT |

E-Book: Big-Data Analytics Explained: Current Trends, Technologies, and Issues by Hewlett-Packard Company November 2011 - (Free Research) This e-book, designed for IT, BI and analytics professionals as well as business executives, provides readers with a comprehensive understanding of big-data analytics trends, technologies and challenges. Receive real-world insight and advice on developing, implementing and managing a big-data analytics program for your organization.  (EBOOK)

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

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