Reading Time: 2 minutes Short answer: Technology vision, unflinching execution, and team’s backing. That’s what BJ Fesq at CIT Group did, and he won the prestigious Computerworld technology leader award this year! I have known BJ Fesq for more than a year. He has…
Reading Time: 3 minutes The amount of data we have at our disposal is growing immensely. More and more systems are creating an increasing amount of data in an increasing number of places. This seems like an opportunity for more information and for improved…
Reading Time: 5 minutes While companies focus on obtaining a holistic view of their data to make insight-driven decisions, chief data officers struggle with the uncontrollable growth of hundreds of data silos and different information systems that prevent them from delivering true business value….
Reading Time: 3 minutes All over the world, data is stored in a myriad of different systems and formats, and accessed from a range of applications that gets wider every day. This growth not only means an increase in the number of possibilities and…
Reading Time: 3 minutes Faster-than-the-hare Proliferation of Technologies Spawns Data Silos and Creates Headaches for IT and Business Alike. What’s the panacea? Technology innovation is great—it has helped drive down costs, reduced the size and complexity of gadgets, increased our productivity, and enhanced the…
Reading Time: 3 minutes How does data virtualization guarantee quality of service in your business apps? This is something I am frequently asked, so I’ve decided to provide some insights. Data virtualization provides an abstraction layer over disparate heterogeneous data sources and offers a…
Reading Time: 4 minutes I’ve had several conversations with BI practitioners recently around the need to provision data agilely in order to support Self-Service Business Intelligence initiatives. Many have been confused as to the roles that some of the great data blending tools out…
Reading Time: 6 minutes Update: Interested in data virtualization performance? Check out our most recent post, “Physical vs Logical Data Warehouse Performance: The Numbers.” After my initial post about the topic, I have received several requests to provide more examples of how query…
Reading Time: 2 minutes The Problem “How do I find mouse epithelial cell lines?” “I’m looking for a mus musculus prostate cell line—does anyone have one?” “I need some CRL-2731, where is it?” While scientists may recognize that these questions could all have the…
Reading Time: 3 minutes Faster-than-enterprise-software Growth in Data Integration Market Coupled with Data Virtualization’s Rapid Adoption as an Alternative to Material Data Integration The 2015 Gartner Magic Quadrant for Data Integration tools was just released, shedding new light on data integration market growth and…
