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Reading Time: 3 minutesData Virtualization platforms conform entire development and operation ecosystems in the organizations they are deployed for. They are not typical pieces of enterprise software, but key points of interconnection and cooperation among multiple systems, tools and teams. Data Virtualization depends…
Reading Time: 2 minutesAt a recent NYC roundtable panel for Chief Data Officers, global Business Process Management (BPM) company, WNS, mentioned that they see common pain points across their customer spectrum. Namely, that big data and the IoT are creating an exponential growth…
Reading Time: 3 minutesIt’s 2015. Traditional software development decided long ago that the only sane way of developing code is to manage it through a version control system. As of today, there are many different possibilities for managing code versioning, either centralized or…
Reading Time: 3 minutesOne of the best parts of my job is helping customers realise their goals of turning a theoretical proposed enterprise architecture with all its promise into a reality by deploying an Enterprise Data Access Layer. It’s a tenuous link, but…
Reading Time: 2 minutesOne of the biggest headaches that big corporations face is how to provide a unified view of data across regions. Most of them have grown as a result of acquisitions of regional companies that in many cases operate independently and…
Reading Time: 2 minutesTackling fraud and waste with Data Virtualization In many organizations, getting a complete view of their operations is a challenging task. Information is scattered across multiple locations and multiple systems – each providing a glimpse of operations but, usually, not…
Reading Time: 4 minutesCaching is one of the most important capabilities of a Data Virtualization platform to provide the right combination of high performance, low latency of information, minimum source impact, and reducing cost of needless data replication. In fact, the options for caching and…
