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Hadoop cluster implementations take IT teams into uncharted waters
sponsored by Rackspace
EGUIDE: In this e-guide, explore key challenges of Hadoop implementation, and gain valuable tips on how to make it a less daunting task. In 3 distinct sections learn the challenges of cluster implementation and get tips and best practices for how to successfully accomplish your goals.
Posted: 23 Mar 2015 | Published: 23 Mar 2015

Rackspace

IBM: What we learned from data marts and consolidation
sponsored by IBM
INFORMATION CENTER: 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.
Posted: 26 Jul 2011 | Published: 18 Apr 2011

IBM

Prototyping Data Warehouses Using Visual Analytics: Presentation Transcript
sponsored by Tableau Software
PRESENTATION TRANSCRIPT: Read this presentation transcript of the “Prototyping Data Warehouses using Visual Analytics” webinar that includes a case study demonstrating how the City of Charlotte is administering Tableau Server to reduce IT intervention, reduce costs and increase collaboration between business units.
Posted: 09 Apr 2009 | Published: 09 Apr 2009

Tableau Software

Top 10 Data Mining Mistakes
sponsored by SAS
WHITE PAPER: 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.
Posted: 07 Apr 2010 | Published: 07 Apr 2010

SAS

Worlds fastest database AND all the convenience of an appliance presentation transcript
sponsored by Actian Corporation
PRESENTATION TRANSCRIPT: When Lenovo needed a pre-configured software and hardware strategy for effective data analytics, they teamed up with Actian to deliver a power data mart appliance. Read this transcript to learn about the data warehousing and analytics tool they deployed that can run queries up to 27 times faster.
Posted: 28 Sep 2012 | Published: 28 Sep 2012

Actian Corporation

Succeeding with Data Virtualization - High Value Use Cases for Operational and Data Management Data Services
sponsored by Denodo Technologies
WHITE PAPER: This paper discusses virtual data services for operational business processing and data management as well as successful virtualization use cases.
Posted: 30 Mar 2012 | Published: 30 Mar 2012

Denodo Technologies

Increasing Enterprise Data Warehouse Performance, Longevity and ROI with the Vertica® Analytic Database
sponsored by Vertica Systems
DATA SHEET: 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.
Posted: 23 Apr 2009 | Published: 22 Apr 2009

Vertica Systems

Prepare for the Quantum Leap in Real-Time Analytics: How In-Memory Analytics is going to change everything about your enterprise
sponsored by SAP America, Inc.
WHITE PAPER: This paper discusses how the shift to in-memory analytics will make time-to-value in countless business decisions accelerate, changing the pace of adoption and integrated analytics within the enterprise. Learn how in-memory analytics is going to change everything about your enterprise.
Posted: 29 Aug 2011 | Published: 01 Sep 2011

SAP America, Inc.

Prototyping Data Warehouses Using Visual Analytics
sponsored by Tableau Software
WEBCAST: The webinar will include a case study demonstrating how the City of Charlotte is administering Tableau Server to reduce IT intervention, reduce costs and increase collaboration between business units.
Posted: 18 Mar 2009 | Premiered: Mar 18, 2009

Tableau Software

Tip Guide: The Good Data Mart
sponsored by SAP America, Inc.
EGUIDE: In this Tip Guide, readers will learn compelling reasons why organizations choose to build and support multiple dependent data marts.
Posted: 04 Nov 2011 | Published: 04 Nov 2011

SAP America, Inc.
 
 
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