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Unlocking the Potential of Information Lifecycle Management
Usage-Based Data Classification for Oracle Databases
This joint white paper from Oracle and Zettapoint describes usage-based Information Lifecycle Management (ILM) and how it can dramatically reduce the size of large databases, resulting in
significantly lower DW operating costs and improved BI performance. On-Demand BI for Insurance Organizations
Learn how to devise a strategy IT executives and data warehouse managers can quickly and effectively deploy to move large volumes of legacy data to UNIX platforms, optimize that data for efficient
and timely access, and empower users with pervasive BI. Optimize Your Enterprise Data Warehouse
Discover proven, best practices and design options for a data warehouse that can significantly reduce system and maintenance costs by tailoring the system investment to match the value of the
resulting analytic capabilities. The Vertica Analytic Database – Introducing a New Era in DBMS
As businesses become more analytical to gain competitive advantage and comply with new regulations, they are changing the demands placed on data warehouses and driving demand for new query-intensive
database applications. The Vertica Database: Rethinking Data Warehouse Architecture
In today's market, leveraging information in data warehouses is increasingly critical to business success. At the same time, enterprises face the challenge to deliver higher business intelligence
value at lower cost. Fusion Centers: Turning Data into Actionable Intelligence
This paper describes best practices in achieving effective data integration, meeting federal standards for data integration, leveraging existing technology tools, and creating an infrastructure that
supports your Fusion Center’s mission. The Three (Best Kept) Secrets to Data Integration Success
by James Paat, Jim Gallo
This white paper focuses on three important candidates for automation and acceleration that, if done properly, can assist in overcoming barriers businesses face while delivering strategic data
integration initiatives. The Virtual Prototyping Warehouse
This white paper outlines the concept of virtual prototyping as a method to reduce the risk of data sharing projects. Data Warehousing, Next-Generation Business Intelligence and the Evolution of Data Quality
by David Loshin
David Loshin explains how embedding data quality services directly into applications can help meet key challenges involving: unstructured data; globalization; the explosion of raw data and the need
for real-time synchronization between data sources. Driving Performance and Lowering TCO in the Analytical Environment
by Bill Inmon
The paper discusses the importance of analytical performance in today's BI environment. The paper also explains a new database technology from Kognitio that can accelerate the data analytics process
and help to reduce the total cost of analytical operatio Supporting Pervasive BI with New Technology
by Claudia Imhoff
This paper discusses how business intelligence is in more demand that ever. The paper also discusses the emergence of new data analytics and data warehousing technology that is set to help
organizations provide more access to intelligence and insight usin Model Driven Data Warehousing
This white paper is intended for people who want to understand how the design and implementation of data warehouses and data marts can be improved dramatically by using model driven methods and
tools. Brains Over Brawn: Six Steps to Smarter BI
by Neil Raden
Driven by changes in the business environment and the relentless pressures of technology and competition, BI now has to solve a whole new set of problems. Data Warehouse Best Practices: An Implementation Framework
by Evan Levy
Data warehousing implementation projects can end up highly complex and costly if you’re not careful. This paper provides fundamental best practices that can mean the difference between another
legacy system and a business solution. DB2 Warehouse Performance Monitoring and Optimization
by Santosh Chitakki, Paulo Pereira
This paper discusses IBM's solution to manage the complete lifecycle of BI and data warehousing with comprehensive monitoring and optimization. The Green Revolution in Data Warehousing
The power, cooling and footprint advantages of the Netezza analytic appliance. Large Scale Use of the Netezza Performance Server® System – Prepared by Winter Corporation
Winter Corporation reports the findings of its interviews with three large Netezza customers who validate large scale implementations of Netezza’s appliance. Netezza Performance Server® Data Warehouse Appliance: An Architectural Comparison
This Netezza white paper compares the architecture of the Netezza Performance Server (NPS®) appliances to other data warehouse technologies used today. Joins and Aggregates Are Critical for Achieving Faster Data Retrieval in a Dimensional Data Warehouse
The process of preparing data for a dimensional data warehouse can be significantly reduced by the effective use of aggregation and join processing, performed by a tool optimized for fast sequential processing. Speeding ETL and Processing in Data Warehouses
Today’s real-time business world demands the capability to process ever-increasing volumes of data at lightning speed. This white paper describes how DMExpress speeds long-running ETL processes so that applications finish faster saving you time and money. Knowing Sooner Rather Than Later: Cost Analysis of Low-Latency Data in Enterprise Data Warehousing
by Richard Hackathorn, Jack Garzella
The study explores five typical architectures for acquiring real-time data from transaction systems and estimates the cost factors for each. BusinessObjects Rapid Marts for SAP R/3®
Driving organizational performance with strategic business intelligence. Top-10 Reporting Tool Essentials for SAP R/3
by Geoffry C. Houze
An overview of SAP R/3 reporting tools as well as examination of the general reporting opportunities SAP R/3 clients have before them. Real-Time Data Warehousing
Transactional data management technology enables operational and active data warehouses for improved business intelligence. MPP database for Business Intelligence
In this paper, Kognitio describes the fundamental differences and advantages of a MPP database architecture over index-based databases. Lowering the TCO of Data Warehousing
This paper from Kognitio asks the question that if Gordon Moore's law of performance improvement and cost reduction applies to processing power, why hasn't it worked for data warehousing? Virtual Data Appliances
This paper explains how organisations can build a high-performance data warehouse using industry standard x86 architecture and Kognitio WX2. 7 myths about Data Warehouse Appliances
There has been a lot of talk lately about Data Warehouse Appliances, but are they all what they are cracked up to be? This paper from Kognitio uncovers some of the truths that should also be revealed. Current Practices in Active Data Warehousing: An Update
by Richard Hackathorn
An update from Richard’s 2002 study, including interviews with DW managers from: a large internet company, SUPERVALU Inc. and UnumProvident Corp. Creating and Using Taxonomies to Enhance Enterprise Search
EasyAsk automatically defines a taxonomy that can be manually modeled to meet an organization's business and information-finding needs. Enterprise Business Intelligence
by Claudia Imhoff
Better competitive advantage, stronger customer relationships and more efficient operations are just a few of the major benefits from integrating BI into your operations. Simplified Data Access for the Enterprise
EasyAsk explores why "search" or "query" by themselves fall short of delivering true enterprise data access and Business Intelligence (BI). Simplified Data Access for ISVs
Embedding data search and query into business applications provides immediate, self-service data access to non-technical business users providing a compelling differentiator for your solution while allowing your software to be more widely adopted. Business Modeling - A New Paradigm for Enterprise Data Warehouse Design
by Bruce Ottmann
This white paper explains the business modeling concept, how it is used to drive the creation and operation of enterprise data warehouses, and how it compares with other data warehouse design approaches, including third-normal form and star schema. Kalido Data Warehouse Lifecycle Management
by Cliff Longman
Data Warehouse Lifecycle Management (DWLM) is a new discipline for the creation and ongoing management of a data warehouse throughout its operational life. DWLM delivers enterprise-scale data warehouses that adapt efficiently to change. Sybase IQ An evaluation by Bloor Research
by Philip Howard
Column-based databases effectively provide self-tuning capabilities. The Business Case for Data Warehouse Appliances
by Jill Dyché
While data warehouses originally solved a problem that had only been addressed with custom programming – namely the access of business information for the purpose of analysis – they are nevertheless a challenge to acquire and maintain. Market Shifts and Data Warehouse Appliances
by Richard Hackathorn
Every Successful Technology Sows the Seeds of its Own Demise. Sarbanes-Oxley – What were the Legislators Thinking?
by Claudia Imhoff
Surviving the impact of compliance on your data warehouse. Data Warehouse Mistakes to Avoid
by Larry P. English
Ten Mistakes to Avoid if Your Data Warehouse is to Deliver Quality Information.
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