The course is intended for individuals looking to understand the architecture patterns necessary to take large software systems that leverage big data to production.

My first stop in finding patterns relevant to the perfect big data storage architecture was Quantum Corp., a company that made its name in disk drives originally.

So, in the big data space, a converged architecture will in effect productize Hadoop by using the raw open source components, adding what’s missing, and then productizing the integration to ...

The Software Architecture for Big Data specialization includes a three-course pathway to earn admission to the Online MS in Computer Science (MS-CS). You may complete the three courses below as a ...

Srinivasa Sridhar Kavikondala is a seasoned technical architect specializing in data warehousing and cloud solutions, based ...

That's because advances in big data analytics and complex events processing (CEP) can come together to provide deep and real-time, pattern-based insights into large-scale IT operations.

One feature of the big data revolution is the acknowledgement that a single database management system architecture cannot meet all needs. However, the Lambda Architecture provides a useful pattern ...

Kosinki, Michal, Yilun Wang, Himabindu Lakkaraju, and Jure Leskovec. "Mining Big Data to Extract Patterns and Predict Real-Life Outcomes." Psychological Methods 21, no. 4 (December 2016): 493–506 ...

Securing big data systems is a new challenge for enterprise information security teams. This article offers advice for building security in when designing enterprise big data architectures ...