Big Data Architecture

Big Data as a concept encapsulates the modern challenges faced in handling data that is massive in volume and speed, and dizzying in its diversity. Traditional technologies were not built for these demands, so a new generation of solutions, such as MongoDB, have emerged to address these requirements.

One concern for companies looking to adopt Big Data technologies is how well a new technology integrates with the existing enterprise architecture. Companies want less complexity, not more. So the desire is to standardize on fewer technologies to improve resource efficiency and to lower costs.

Developing a streamlined Big Data architecture involves careful consideration of which new solutions to bring on board. You want a technology that can address many different types of initiatives as opposed to just a few. As a result, you’ll be able to achieve economies of scale in the expertise, skills, infrastructure, and integrations required across projects.

For this reason, Fortune 500 companies are choosing to standardize on MongoDB, a general purpose database. MongoDB serves a wide variety of use cases – e.g., single view, internet of things, mobile, content management, personalization, and much more – across industries as diverse as financial services, retail, government, and healthcare.

Find out more about the many ways in which enterprises are making MongoDB a part of their Big Data architecture. Download our white paper.