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Data Warehouse Architectures

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ALSO CALLED: Tactical Data Warehouse Development
DEFINITION: An integrated set of products enabling the extraction and transformation of data to be loaded into a database for end-user analysis and reporting.
Data Warehouse ArchitecturesReports
101 - 125 of 171 Matches Previous Page  | Next Page
Tip Guide: Oracle BI update adds support for Microsoft, SAP, iPad
sponsored by SAP America, Inc.
EGUIDE: Oracle’s latest business intelligence (BI) software upgrade adds prebuilt integration with Oracle’s own TimesTen in-memory database, its OLAP platform and competing products from Microsoft and SAP. In this tip guide, readers will learn the latest on Oracle’s BI update and how it compares with other vendor solutions.
Posted: 14 Dec 2011 | Published: 07 Dec 2011

SAP America, Inc.

Presentation Transcript: Five Reasons to Offload Analytics from Your Data Warehouse
sponsored by ParAccel
PRESENTATION TRANSCRIPT: Traditional data warehouse infrastructure struggles to keep up with the expanding demand for a wide and changing variety of analytic workloads.  The result is growing frustration as end-users are forced to use sample data, aggregate data and even restricted in their access to information in standalone or enterprise data warehouses.
Posted: 06 Dec 2011 | Published: 06 Dec 2011

ParAccel

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.

Cisco Business Intelligence Appliance for SAP
sponsored by Cisco Systems, Inc.
WHITE PAPER: Read this paper to discover powerful, self-service business intelligence (BI) that helps you locate, evaluate, and use your crucial business information while minimizing the operational cost.
Posted: 22 Nov 2011 | Published: 22 Nov 2011

Cisco Systems, Inc.

Driving information-led business innovation with IBM InfoSphere Information Server
sponsored by IBM
WHITE PAPER: This white paper identifies a shift in corporate thinking about the value of trusted information to the organization and outlines reasons why this shift is occurring. It explores common information integration challenges and outlines a list of key characteristics needed for an effective information integration solution.
Posted: 21 Nov 2011 | Published: 21 Nov 2011

IBM

IBM InfoSphere Information Server for Data Warehousing
sponsored by IBM
VIDEO: IBM InfoSphere Information Server is a platform for data integration that fully supports the new requirements for data warehousing. InfoSphere Information Server delivers faster time to value, increases business confidence in information and provides a lower cost of ownership than older, more time-consuming approach
Posted: 21 Nov 2011 | Premiered: 21 Nov 2011

IBM

Building a Trusted Warehouse: IBM InfoSphere software and IBM Netezza data warehouse appliances
sponsored by IBM
WHITE PAPER: This brief white paper explores the features and benefits of IBM Infosphere Information Server and IBM Netezza data warehouse appliances, including risk reduction, increased performance, quicker growth and more.
Posted: 18 Nov 2011 | Published: 18 Nov 2011

IBM

E-Book: Big-Data Analytics Explained: Current Trends, Technologies, and Issues
sponsored by Hewlett-Packard Company
EBOOK: This e-book, designed for IT, BI and analytics professionals as well as business executives, provides readers with a comprehensive understanding of big-data analytics trends, technologies and challenges. Receive real-world insight and advice on developing, implementing and managing a big-data analytics program for your organization.
Posted: 15 Nov 2011 | Published: 15 Nov 2011

Hewlett-Packard Company

Presentation Transcript: Big Data and Data Warehousing
sponsored by SAP America, Inc.
PRESENTATION TRANSCRIPT: 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.
Posted: 02 Nov 2011 | Published: 02 Nov 2011

SAP America, Inc.

SAP Runs SAP
sponsored by SAP America, Inc.
WEBCAST: In this brief video, learn how technology is paving the way for fundamental innovations in business and the IT industry.
Posted: 11 Oct 2011 | Premiered: Oct 11, 2011

SAP America, Inc.

E-Guide: Best practices for managing the data warehouse to support Big Data
sponsored by SAP America, Inc.
EGUIDE: 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.
Posted: 11 Oct 2011 | Published: 11 Oct 2011

SAP America, Inc.

Can Data Warehousing Survive Big Data
sponsored by Arrow and HP
PRESENTATION TRANSCRIPT: This webinar transcript discusses the changes in data and data management because of the explosion of big data. One of the major questions discussed in the webinar is "Will data warehouses survive much longer?"
Posted: 06 Oct 2011 | Published: 06 Oct 2011

Arrow and HP

Data Quality Considerations in Master Data Management Structure
sponsored by Pitney Bowes Group 1 Software
WHITE PAPER: This white paper discusses the challenges, solutions and importance of data management consolidation within an organization.
Posted: 13 Sep 2011 | Published: 13 Sep 2011

Pitney Bowes Group 1 Software

Data Mart Consolidation
sponsored by Hexaware Technologies
WHITE PAPER: This white paper explores how Data Mart consolidation is an effective tool for saving money when dealing with large volumes of data.
Posted: 12 Sep 2011 | Published: 12 Sep 2011

Hexaware Technologies

Connectivity in context: Deliver application integration in days
sponsored by IBM
WHITE PAPER: In today's challenging economy, cutting costs while achieving more is critical to success. Discover how to easily connect your cloud-based applications with each other and with your on-premise applications – in just days, without burdening specialist resources or resorting to custom programming.
Posted: 30 Aug 2011 | Published: 01 Jun 2011

IBM

Executing a proof-of-concept tournament for data warehouse appliances
sponsored by IBM
INFORMATION CENTER: This blog entry offers guidelines for comparing various data warehouse appliances. Get detailed advice on setting up an objective proof-of-concept tournament and discover key points to consider when deciding on a solution.
Posted: 29 Jul 2011 | Published: 17 Jun 2011

IBM

“Light Concurrency” data warehouse appliances from HP and Microsoft have slow access to critical business data
sponsored by IBM
INFORMATION CENTER: This blog entry explains why business intelligence is critical to the success of today's companies. Discover the differences between light and high concurrency data warehouse appliances and find out which ones can deliver strategic insights in less time.
Posted: 28 Jul 2011 | Published: 22 Jun 2011

IBM

User’s Guide to the Emerging Database Landscape: Row vs. Columnar vs. NoSQL
sponsored by Infobright, Inc.
WHITE PAPER: This white paper addresses strategies for effectively addressing the impact of data overload on application performance, speed and reliability, as well as where newer technologies such as columnar databases and NoSQL come into play.
Posted: 28 Jul 2011 | Published: 28 Jul 2011

Infobright, Inc.

IBM benchmarks against today’s latest and greatest. Oracle benchmarks too – against yesterday’s best
sponsored by IBM
INFORMATION CENTER: This blog post analyzes Oracle's claims about its latest data warehouse technology. Discover the key steps required to implement this appliance and find out how this platform compares to other market offerings.
Posted: 28 Jul 2011 | Published: 03 May 2011

IBM

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

Podcast: From Data Warehousing to Insights - Enterprise Analytics
sponsored by IBM
PODCAST: This podcast reaveals how employing a data warehousing and analytical appliance can provide the speed and functionality to enable CIOs and their teams to create value from big data.
Posted: 15 Jul 2011 | Premiered: Jul 14, 2011

IBM

Own your process, own your information, own your business with SOA
sponsored by IBM
WHITE PAPER: This white paper details why building in business process management, information management and SOA governance across the enterprise is critical to SOA success. It also presents real-world examples of IBM customers that have done so and are now reaping the benefits of SOA, including service reuse, business agility and business transformation.
Posted: 07 Jul 2011 | Published: 01 Dec 2010

IBM

Fast-Tracking Data Warehousing & Business Intelligence Projects via Intelligent Data Modeling
sponsored by Embarcadero Technologies, Inc.
WHITE PAPER: Often times Business Intelligence (BI) projects miss the mark with their business users because the proper documenting of required data and related business rules is not executed. This paper looks at fast-tracking data warehousing and BI projects using data modeling.
Posted: 15 Jun 2011 | Published: 01 Jan 2010

Embarcadero Technologies, Inc.

Intel® Cloud Builders Guide: Cloud Design and Deployment on Intel® Platforms – Scale-out Storage with EMC* Atmos*
sponsored by Intel
WHITE PAPER: According to recent estimates, enterprise digital content will double in growth every year for the next 10 years. Access this exclusive resource to discover the key elements to designing and implementing a customized and integrated cloud storage solution.
Posted: 13 Jun 2011 | Published: 13 Jun 2011

Intel

IBM Smarter Planet Storage Solutions Insight Series
sponsored by IBM
WHITE PAPER: This paper describes how pervasive data-generating technologies are now available and examines the growing need to mine emerging applications for competitive advantage.
Posted: 19 May 2011 | Published: 01 Feb 2011

IBM
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