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IoT vs. Serverless Computing

The Internet of Things (IoT) describes an interconnected network of physical and digital devices, sensors, mechanical components, and communication protocols with the ability to transfer and exchange data machine-to-machine or machine-to-interactions. The serverless computing model is cloud-based and all its resources are managed by the service provider. The client is charged based on the consumption […]

The Digital Mesh: How is it Changing Enterprises?

Is this a science fiction movie? No, the digital mesh — the long-awaited gift of connected technologies — is here now. Advanced science and telecommunications technologies together triggered the latest technology disruption, enabling people, processes, and digital devices to engage in a way that is vital for the survival of modern businesses. Landmark Digital Disruption: […]

So You Want to be a Data Manager?

A data manager develops and governs data-oriented systems designed to meet the needs of an organization or research team. Data Management includes accessing, validating, and storing data that is needed for research and day-to-day business operations. Currently, a wide array of organizations are using big data to gain insights into customer behavior and to provide […]

Demystifying Data Architecture

Ludwig Mies van der Rohe said, “Architecture starts when you carefully put two bricks together”—and Data Architecture begins upon creating, storing, and putting two or more characters together, be they sets of records, emails, pictures, audio, video. This resonated well with initial thoughts about Data Architecture, as it is comprised of things, the functionality of […]

Managing Data Governance Throughout the Data Lifecycle

Companies rely on Data Governance, the formal Data Management of people, technology, and practices, to balance data risks and opportunities. Managing Data Governance takes on even more importance across the data lifecycle, from data planning to data disposal, as shown in the diagram below Organizations tend to neglect more comprehensive Data Governance throughout the lifecycle. […]

Data Governance in the Cloud

IT center, on-premise infrastructure is becoming increasingly complex and costly, and requires highly skilled manpower, so businesses are now moving their IT and Data Science functions to the cloud. Cloud computing promises low-cost storage facilities, 100 percent up-time, managed services, and automated analytics and BI services, leaving the businesses to concentrate on their domain expertise […]