White Papers by Topic: Data warehousing

Resources available: 13

Magic Quadrant for Data Masking Technology

IBM is a leader in Gartner Inc's Magic Quadrant for Data Masking Technology. Read the full report to learn about IBM.

Data Warehousing: modern ecosystems for big data & analytics

Five years ago, IBM observed that the planet was becoming more instrumented, interconnected and intelligent. Some 20,000 engagements later, here's what we've learned matters in designing a modern data warehouse.

Information Lifecycle Governance Leaders Reference Guide

Data is growing at unprecedented rates. But how much of it is useful to your business? Read this leader guide from CGOC to learn how to deal with excessive data, get more value from information assets, ensure compliance, and reduce risk.

Building the Business Case for Better Information Economics

Data can provide enormous business value if it is properly identified, analyzed, stored and managed in accordance with its changing value over the course of its lifecycle.

Use Cases: Microsoft Exchange 2010 on VMware

Many VMware customers running Exchange 2003, 2007, and 2010 are already taking advantage of the benefits offered by virtualization to improve their organization's messaging capabilities and effectiveness. Microsoft Exchange Server 2010 includes a number of enhancements in areas such as availability, architecture, remote access, operational efficiency, and improved end-user experience. For organizations not already using vSphere, the upgrade cycle from previous versions of Exchange to Exchange 2010 presents an ideal opportunity to begin leveraging the power and flexibility of virtual machine technology. This guide provides use cases and explains the primary technical benefits that can be achieved by deploying Exchange 2010 on VMware vSphere."

Essential Deployment Tips: Oracle Databases on VMware vSphere 4

Even the most demanding Oracle database workloads can now be virtualized with VMware vSphere and ESX 4 -- with greater than 95 percent of Oracle instances matching native performance. This paper provides the essential tips necessary to successfully deploy Oracle on VMware virtual infrastructure to enable database administrators (DBAs) to meet their performance and availability goals. This paper provides technical guidance when deploying Oracle databases on VMware vSphere. This document will also show that the same best practices, tuning tips and tricks, and skill sets necessary to deploy Oracle databases in physical environments can be leveraged when deploying Oracle databases in virtual environments.

Use Cases: Oracle Databases on VMware

Production database administrators are primarily concerned with scalability, performance and overall resource management. Deploying Oracle databases on vSphere is not significantly different from deploying Oracle on physical servers. Database architects can take advantage of the features and capabilities of vSphere to create their enterprise database strategy and next-generation scalable architectures. This paper provides use cases and benefits delivered by virtualizing Oracle databases on VMware vSphere.

On-premise e-Mail Archiving: Are You Ready for Optimized Exchange Migration?

Despite what you've heard, not everything is moving to the cloud. For example, BY 2014, 72% OF THE EXPECTED 470 MILLION EXCHANGE SERVER MAILBOXES worldwide WILL REMAIN ON-PREMISE. Download this exclusive tech dossier from Iron Mountain to learn why on-premise archiving can be the right choice for your Microsoft Exchange-hosted e-mail environment.

Sybase® IQ: The Economics of Business Reporting

Each year, the amount of data your company handles grows exponentially, as does the number of users who need access to insights from this growing data. Your systems must work harder every day to satisfy increased demands for answers that support mission-critical business decisions. Data analysis and business reporting are consuming more and more of system and staff resources. It's time to evaluate better alternatives.

An Alternative Database Approach

Traditional, relational databases are unable to satisfy the growing need for analytical performance. An alternative data base approach, which begins by storing data by columns instead of rows, has proven to meet today's exploding data warehouses. Learn how a column-oriented DBMS works, why it has superior performance, reduced data access latency and a reduced storage footprint.

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