Datawarehousing White Papers

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Dealing with More and More Data: Challenges for the Utility CIO
sponsored by IBM
WHITE PAPER: This document provides utilities with an understanding of specific challenges faced by CIOs and provides information technology (IT) decision makers with a view to the use of time series databases in getting to scale.
Posted: 29 Aug 2013 | Published: 31 Mar 2012

IBM

Faster, Higher, Stronger: In-Memory Computing Disruption and What SAP HANA Means for Your Organization
sponsored by SAP America, Inc.
WHITE PAPER: 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.
Posted: 28 Nov 2011 | Published: 28 Nov 2011

SAP America, Inc.

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

Red Hat JBoss Data Grid: The Perfect Solution for Big Data and Application Performance
sponsored by Red Hat
WHITE PAPER: Big data requires real-time access to data, scalability, and non-disruptive technology - qualities that relational databases just don't have. In this resource, discover how an in-memory data grid (IMDG) addresses the challenges posed by big data and application performance, and learn how one particular data grid can benefit your IT department.
Posted: 07 Jun 2013 | Published: 30 Jun 2012

Red Hat

The IBM DB2 Analytics Accelerator for z/OS, V2.1
sponsored by IBM
WHITE PAPER: The survival of a business is directly related to how quickly they can make strategic decisions. This white paper explores an analytics accelerator that expedites complex queries, allowing you to respond quickly to changing conditions.
Posted: 09 Jul 2012 | Published: 01 Oct 2011

IBM

Break the “Add More Nodes” Cycle: IBM Netezza data warehouse appliances allow your data infrastructure to scale
sponsored by IBM
WHITE PAPER: Data warehouse appliances have transformed the DW with a platform designed to deliver optimal price and performance with extreme simplicity. This paper outlines the IBM Netezza data warehouse appliance and how it offers extreme time to value, agility and ability to grow with new workloads, cost reduction of ongoing maintenance and more.
Posted: 05 Apr 2012 | Published: 14 Dec 2011

IBM

The Human Side of Big Data and High-Performance Analytics
sponsored by SAS
WHITE PAPER: The following white paper explores the through the eyes of pioneering analyst, Tom Davenport, on the importance of the data scientist when it comes to success with big data and advanced analytics. Learn how they how they help, how to onboard or create them, and much more.
Posted: 29 Apr 2014 | Published: 29 Apr 2014

SAS

Deliver Better Results Across the Data Management Lifecycle: HP AppSystem for Microsoft SQL Server 2012 Parallel Data Warehouse
sponsored by HP Inc
WHITE PAPER: The following whitepaper outlines the important steps to consider when implementing a diversified data management strategy.
Posted: 18 Oct 2013 | Published: 18 Oct 2013

HP Inc

Best Technology Infrastructure Provider to Sell Side Award
sponsored by IBM
WHITE PAPER: Consult the following white paper to gain access to an all-inclusive solution to agility. Discover how to enable millisecond answers, provide scalability to the client, and split second decision making within the realm of big data and analytics.
Posted: 27 Nov 2013 | Published: 27 Nov 2013

IBM

Fiserv: Saving $8 million in five years and helping banks improve business outcomes using IBM technology
sponsored by IBM
WHITE PAPER: Access the following white paper to uncover an analytics solution that is helping banks compete with their larger counterparts. Discover how you can gain the critical analytical insights from your data—fast—when you need it and where you need it, all while saving capital to push towards innovation
Posted: 20 Dec 2013 | Published: 20 Dec 2013

IBM