Big data introduces hard-to-manage volume, velocity and variety. Too many IT departments focus primarily on data volume and data velocity, ignoring the data variety issue. The IT domain is often the worst offender and worst victim of the data variety issue, so enterprises must address this first. A common language of IT offers a consistent way to identify objects across diverse IT systems that produce big data. This enables IT managers to connect the dots on data coming from multiple IT systems leading to new and accurate insights. Mastering the variety challenge with a common language of IT is the key to simplifying and unlocking big data analytics in IT.
IT heterogeneity exists in today’s computing environments for three reasons:
Legacy technologies still support critical business processes.
The distributed computing era’s best-in-class technology approach led to enterprise IT integrating and managing multiple products and technologies.
Mergers and acquisitions increase IT heterogeneity through acquired technologies and products.
IT heterogeneity poses both a challenge and an opportunity, depending on how an IT team chooses to address it. In this slideshow, Mahesh Kumar, vice president of strategy at BDNA – the company behind Technopedia.com, the world’s largest IT reference catalog – shares the benefits IT professionals receive when they adopt a common language of IT to tackle the variability issue that exists within their IT departments.