Welcome!

The Data Virtualization Gold Standard

Robert Eve

Subscribe to Robert Eve: eMailAlertsEmail Alerts
Get Robert Eve via: homepageHomepage mobileMobile rssRSS facebookFacebook twitterTwitter linkedinLinkedIn


Top Stories by Robert Eve

An IDC research study found that, in 2010, the universe of information exceeded one zettabyte, or one trillion gigabytes, for the first time in history, and is expected to grow another nine fold over the next five years. Just keeping up is a huge challenge. Further this data resides in various silos developed over many years of technology acquisition and business consolidation. So add data integration to your "most important things to-do" list. Data Virtualization to the Rescue Data virtualization has been purpose-built to address these challenges through an agile, high-value data integration approach that address these volumes, quickly providing business with the timely data it needs, even if the data required spans multiple silos.  Below are twelve good reasons why businesses and government agencies use data virtualization. Twelve Good Reasons to Use Data Virtualiza... (more)

Data Virtualization at Pfizer: A Case Study

Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility is the first book published on the topic of data virtualization. Along with an overview of data virtualization and its advantages, it presents ten case studies of organizations that have adopted data virtualization to significantly improve business decision making, decrease time-to-solution and reduce costs. This article describes data virtualization adoption at one of the enterprises profiled, Pfizer Inc. Organization Background Pfizer Inc. is a biopharmaceutical company that develops, manu... (more)

Where Is Data Virtualization Going?

By now, everyone understands that data virtualization is an agile data integration method used by business and IT to greatly simplify information access. Compared to other integration approaches, such as data consolidation via data warehouses and ETL, or data replication via ESBs and FTP, data virtualization queries data from diverse sources on demand without requiring extra copies what must be synchronized and supported. As a result, data virtualization's streamlined approach fulfills business information needs faster, using far fewer resources.  No wonder data virtualization ... (more)

How Enterprises Measure Data Virtualization Platform Maturity

Data virtualization is one of the fastest-growing segments in enterprise IT today. Originally deployed for light BI federation needs, today's data virtualization use cases span a range of applications, including customer experience management, risk management and compliance, M&A transition and more. Data virtualization adoption has evolved from project-level deployments to enterprise-scale data virtualization layers that deliver data from multiple sources (Relational, Semi-structured XML, Dimensional MDX, the new NoSQL data types, and more) to multiple applications on demand. A... (more)

What to Do About the Data Silo Challenge

Organizations today understand that better access to information assets can improve their bottom-line. But they struggle with the variety of enterprise, cloud and big data sources, and all their associated access mechanisms, syntax, security, etc.  Further, few data sources are structured properly for business user or application consumption, let alone reuse.  And often the data is incomplete or duplicated. Data Abstraction Addresses These Challenges Data abstraction overcomes data source to data consumer incompatibility by transforming data from its native structure and syntax i... (more)