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Presentation Transcript: Maximizing the value of on-demand BI for Small to Medium Enterprises by SAP America, Inc.

August 26, 2011 - (Free Research)
Small to medium enterprises (SMEs) are just as concerned with maximizing the value of their data as large enterprises. This webinar will explore the business and technology trends that have made BI accessible to SMEs. 
(PRESENTATION TRANSCRIPT) READ ABSTRACT |

Tip Guide: SAP in-memory applications by SAP America, Inc.

October 24, 2011 - (Free Research)
In this tip guide, gain insight into SAP's application launch plans for the year, including new application capabilities and industry focused application plans for SAP. 
(EGUIDE) 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 |

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 |

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 |

E-Guide: Practical advice and pitfalls to avoid with Big Data in the data warehousing process by SAP America, Inc.

October 11, 2011 - (Free Research)
Gain practical advice and pitfalls to avoid with big data in the data warehousing process. 
(EGUIDE) READ ABSTRACT |

The Great Debate: Buy Versus Build by Oracle Corporation

June 23, 2009 - (Free Research)
This white paper explores the relative pros and cons of deploying pre-built analytic applications from Oracle versus building a custom data warehouse against Oracle E-Business Suite, PeopleSoft, Siebel or similar systems. 
(WHITE PAPER) READ ABSTRACT |

Tip Guide: The Good Data Mart by SAP America, Inc.

November 04, 2011 - (Free Research)
In this Tip Guide, readers will learn compelling reasons why organizations choose to build and support multiple dependent data marts. 
(EGUIDE) READ ABSTRACT |

The road to Hadoop by SAP America, Inc.

December 18, 2012 - (Free Research)
This e-guide highlights several popular Apache Hadoop use cases, and explores how organizations can leverage Hadoop to better prepare for long term big data analytics success. 
(EGUIDE) READ ABSTRACT |

Large-scale Analytics with SAP by SAP America, Inc.

October 17, 2013 - (Free Research)
In this video, find out how you can remove the constraints associated with traditional approaches to analytics and data warehousing -- with a powerful analytics grid that grows to meet your changing business needs. Watch now for an overview of this technology including capabilities, use cases, and benefits. 
(VIDEO) READ ABSTRACT |

Tip Guide: Tips for in-memory analytics with SAP HANA by SAP America, Inc.

October 18, 2011 - (Free Research)
In this e-guide, learn how SAP HANA is affecting SAP landscapes. 
(EGUIDE) READ ABSTRACT |

TDWI Checklist Report: Data Requirements for Advanced Analytics by SAS

April 07, 2010 - (Free Research)
This checklist lists and explains data requirements that are unique to advanced analytics. This report focuses on the data requirements of advanced analytics so organizations may become better equipped to populate a data warehouse or analytic database with data and data models that ensure the success of advanced analytic applications. 
(WHITE PAPER) READ ABSTRACT |

Faster, Higher, Stronger: In-Memory Computing Disruption and What SAP HANA Means for Your Organization by SAP America, Inc.

November 28, 2011 - (Free Research)
Over the course of several months in 2011, IDC conducted a research study to identify the opportunities and challenges to adoption of a new technology that changes the way in which traditional business solutions are implemented and used. The results of the study are presented in this white paper. 
(WHITE PAPER) READ ABSTRACT |

Demystifying the scale up vs. scale out debate for data warehousing by SAP America, Inc.

December 11, 2012 - (Free Research)
In this expert guide, IT analyst Tony Iams, SVP, Ideas International, delves deeper into the scale up vs. scale out debate. Learn about the growing popularity of scaling out options, such as massively parallel processing (MPP) and distributed computing approaches. 
(EGUIDE) READ ABSTRACT |

Tip Guide: Big Data: Giant Wave or Huge Precipice? by SAP America, Inc.

November 04, 2011 - (Free Research)
In this tip guide, industry expert Barry Devlin will explore what exactly big data is and where it comes from. 
(EGUIDE) READ ABSTRACT |

E-Guide: Dealing with ‘big data’ challenges: real-world strategies and advice by SAP America, Inc.

October 24, 2011 - (Free Research)
In this e-guide, uncover common challenges of managing large volumes of data and offer advice on how to copy with the 'big data' explosion as part of data warehousing strategies. 
(EGUIDE) READ ABSTRACT |

Tip Guide: Expert Predictions for in-memory analytics strategy by SAP America, Inc.

October 21, 2011 - (Free Research)
Gain insight and predictions for analytics appliances for the upcoming year. 
(EGUIDE) READ ABSTRACT |

Big Data business intelligence and analytics: Strategies for gleaning meaning from large data volumes by SAP America, Inc.

October 07, 2011 - (Free Research)
This eBook discusses the emerging business intelligence (BI) and analytics best practices for big data environments, with practical advice on how to scope, plan and prioritize projects within your organization. 
(EBOOK)

Tip Guide: SAP: Upcoming service pack to let BW run on HANA as data layer by SAP America, Inc.

October 24, 2011 - (Free Research)
In this tip guide, you'll learn how HANA affects SAP landscapes and what you should be doing about it. 
(EGUIDE) READ ABSTRACT |

Tip Guide: SAP: In-memory now ‘a reality’ by SAP America, Inc.

October 18, 2011 - (Free Research)
This tip guide explores how HANA affects SAP landscapes. 
(EGUIDE) READ ABSTRACT |

Analytical Data Prep 101 Webinar by SAS

July 30, 2010 - (Free Research)
This Webinar in the Apply Business Analytics series will highlight the specific methods and unique data requirements needed to deal with advanced analytics so that you can effectively and efficiently uncover hidden relationships, anticipate the future and adapt to change. 
(WEBCAST) READ ABSTRACT |

SAP Sybase IQ: Bred for Speed, Analysis, and You by SAP America, Inc.

October 15, 2013 - (Free Research)
Consult this resource to learn more about how SAP provides support for advanced analytics, data warehousing and business intelligence environments. 
(WHITE PAPER) READ ABSTRACT |

Big Data and Big Insights with Dell, SAP and Hadoop by SAP America, Inc.

January 28, 2014 - (Free Research)
Tune in to this live webcast on January 28, 2014 at 12:00 PM EST to learn about the needs of big data and how the SAP HANA platform gives you the power to store, process, and analyze growing data volumes with ease. 
(WEBCAST) READ ABSTRACT |

E-Guide: Best practices for SAP in-memory analytics applications by SAP America, Inc.

October 13, 2011 - (Free Research)
This e-guide gives insight to SAP's application launch plans for the year. 
(EGUIDE) READ ABSTRACT |

Top 10 Data Mining Mistakes by SAS

April 07, 2010 - (Free Research)
In the following paper, we briefly describe, and illustrate from examples, what we believe are the “Top 10” mistakes of data mining, in terms of frequency and seriousness. Most are basic, though a few are subtle. All have, when undetected, left analysts worse off than if they’d never looked at their data. 
(WHITE PAPER) READ ABSTRACT |

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