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Data Extraction Software White Papers (View All Report Types)
 
Automated Business Intelligence: Delivering Real Business Value, Quickly, Easily, and Affordably
sponsored by Birst
WHITE PAPER: This White Paper explores how traditional approaches fall short, what the automated solution and its benefits look like, how the on-demand delivery model best represents the integrated stack necessary for automation, and how the automated, on-demand model brings the benefits of BI to a far broader audience than ever before.
Posted: 19 Jun 2009 | Published: 19 Jun 2009

Birst

Gartner Magic Quadrant for Data Integration Tools, 2006
sponsored by Pervasive Integration
WHITE PAPER: Gartner's Magic Quadrant for data integration tools evaluates vendors offering broad data integration capabilities through an integration platform. Discover the ranking of capabilities and functionality, including data quality and profiling.
Posted: 18 Sep 2007 | Published: 22 Nov 2006

Pervasive Integration

TDWI Checklist Report: Data Requirements for Advanced Analytics
sponsored by SAS
WHITE PAPER: 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.
Posted: 07 Apr 2010 | Published: 07 Apr 2010

SAS

Accelerating Application Deployment with InfoSphere Foundation Tools
sponsored by IBM
WHITE PAPER: Despite criticism of application development methodology over the years, some fundamental problems haven’t been addressed successfully. This paper examines a new direction supported by the IBM InfoSphere Foundation Tools. These tools provide a coordinated approach well-suited to the special needs of contemporary information-centric development.
Posted: 16 Aug 2010 | Published: 13 Aug 2010

IBM

Speeding ETL Processing in Data Warehouses
sponsored by Syncsort
WHITE PAPER: 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.
Posted: 19 Mar 2007 | Published: 01 Mar 2007

Syncsort

Complex Data: A New Challenge for Data Integration
sponsored by Informatica
WHITE PAPER: A data warehouse isn't the whole truth without data from complex sources. Learn how complex data gives analytic applications greater accuracy and enables new operational applications.
Posted: 29 Nov 2007 | Published: 01 Nov 2007

Informatica

BI and ETL - Process Management Pain Points
sponsored by Cisco Systems, Inc.
WHITE PAPER: Sound business intelligence (BI) reporting can be invaluable in helping your business peers make the best decisions for your company. Ensuring error-free, end-to-end integration of data between processes distributed throughout your organization, however, can be challenging. Learn how scheduling and process automation technologies can help.
Posted: 14 Feb 2012 | Published: 14 Feb 2012

Cisco Systems, Inc.

BI and ETL Process Management Pain Points
sponsored by Cisco Systems, Inc.
WHITE PAPER: This paper examines five frequently encountered BI and ETL process management painpoints, which can affect the accuracy and timeliness of vital enterprise data delivery, and how each of these painpoints can be successfully managed using process automation technology.
Posted: 31 Jan 2011 | Published: 31 Jan 2011

Cisco Systems, Inc.

Offshoring ETL Development in EPM Projects
sponsored by Hexaware Technologies
WHITE PAPER: Learn why ETL development projects place a particular emphasis on quick turnaround, optimal performance and iterative development. Explore how you can execute EPM projects smoothly and with utmost efficiency, coordination and cost effectiveness.
Posted: 10 Apr 2008 | Published: 01 Apr 2008

Hexaware Technologies

Open Source Master Data Management - The Time is Right
sponsored by Talend
WHITE PAPER: Proper master data management (MDM) is very valuable when available to enterprise business processes and analytics. However, master data projects are often challenging, architecturally complex, time intensive and expensive. This paper explains why the time is right for open source MDM, and predicts the effects of open source on the MDM marketplace.
Posted: 16 Mar 2010 | Published: 16 Mar 2010

Talend
 
 
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