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Dataware House White Papers (View All Report Types)
 
Data Warehousing: Embrace BI Speed and Simplicity for a Competitive Edge
sponsored by IBM
WHITE PAPER: This resource describes how a simplified data warehouse can result in low costs of ownership and more time available to engage and champion data-driven decision making. Learn how a strategy of simplicity that also analyzes data rapidly allows you to gain insight quickly and at low cost.
Posted: 02 Feb 2016 | Published: 31 May 2014

IBM

Orlin & Cohen Orthopedic Group Benefits from a 24x7 Managed Electronic Medical Records Database Architecture
sponsored by Cintra/Oracle
WHITE PAPER: In this white paper, learn how Orlin & Cohen overcame the challenges its legacy Windows-based Oracle standard Edition architecture and upgraded to an enterprise-class platform. Learn how they accomplished this without the typical cost and complexity associated with enterprise architecture but still gained high performance and reduced risk.
Posted: 07 Apr 2016 | Published: 07 Apr 2016

Cintra/Oracle

How to Unlock Big Data's True Potential
sponsored by IBM
WHITE PAPER: When it comes to big data, it can be difficult to combine data from disparate sources into a meaningful and valuable picture. Discover a business intelligence platform that can allow you to integrate data from heterogeneous sources, augment the data warehouse with Hadoop data services, leverage real-time analytics, and more.
Posted: 19 Apr 2016 | Published: 31 Oct 2014

IBM

The Integral Parts of a Logical Data Warehouse
sponsored by IBM
WHITE PAPER: In this detailed white paper, explore the paradigm of the logical data warehouse in the era of big data and how the components work together. Additionally, learn which workloads will perform best on which components, and compare costs.
Posted: 03 Feb 2016 | Published: 31 Dec 2014

IBM

Analytics in a Dash: Strategies to Speed Data Warehousing and Analysis in the Cloud
sponsored by IBM
WHITE PAPER: Turning to advanced analytics tools accelerates the transition from data to decision. Explore how new cloud-based data warehousing and analytics solutions can level the playing field for traditionally-structured businesses.
Posted: 01 Mar 2016 | Published: 01 Mar 2016

IBM

Scaling Data Integration to Handle Big Data
sponsored by IBM
WHITE PAPER: This informative white paper discusses the need for new data and how to scale data integration to handle big data. Learn what requirements are needed to process big data so that your enterprise can gain valuable customer insight.
Posted: 23 Oct 2015 | Published: 30 Apr 2015

IBM

Maintaining Optimal Data Warehouse Performance
sponsored by HP
WHITE PAPER: This brief resource offers insight into the HP AppSystem for Microsoft SQL Server 2012 Parallel Data Warehouse. Inside, learn how this tool, jointly engineered with Microsoft for data warehouse and business intelligence (BI) requirements will help you make key business decisions more quickly.
Posted: 29 Oct 2013 | Published: 31 May 2013

HP

The Proven Big Data In-memory Analytical Platform
sponsored by Kognitio
WHITE PAPER: In this resource, discover an in-memory analytical platform that's purpose-built for complex analytics. Learn how this relational database can help you handle the growing volume, velocity, and variety of data in your enterprise efficiently and effectively.
Posted: 11 Jun 2013 | Published: 11 Jun 2013

Kognitio

Strategies, Solutions, and Advice for Leveraging Big Data and Unlocking Your Competitive Edge
sponsored by Cisco Systems, Inc.
WHITE PAPER: Access this exclusive e-zine to learn the strategies, solutions, and providers that can help you unlock your big data competitive edge – including insight and updates from leading Hadoop vendors, solution bundles that take the guesswork and complexity out of big data deployments, and more.
Posted: 09 Dec 2015 | Published: 09 Dec 2015

Cisco Systems, Inc.

Optimizing ETL: The Key to Accelerating Data‐Driven Business Decisions
sponsored by Syncsort
WHITE PAPER: Whether you’re analyzing information from a data warehouse, reviewing click-stream data to find the latest trends, or running a query on current sales figures, the elapsed time to perform these processes means lost revenue. This article explains the steps you can take when processing your data to reduce elapsed time.
Posted: 26 Mar 2014 | Published: 12 Oct 2009

Syncsort
 
 
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