Faculty and students conduct research on fundamental and applied topics related to all aspects of data science, including statistical analytics, data management systems, high performance and ...

Project (80%) in the LT. Continuous assessment (10%) in the LT Week 4. Continuous assessment (10%) in the LT Week 7. The project assessment consists of applying distributed computing methods to ...

Broadcom Inc. (NASDAQ: AVGO), a semiconductor and infrastructure software company, today announced it is now shipping - Read ...

The distributed data cloud is not a single tool or platform, but an ecosystem pattern that gets data to the right place and the right person at the right time in a secure, governed, and trusted way.

While no single distributed project is as fast as a Top500 supercomputer, they're still faster than the computers to which most researchers have access. Distributed computing is as old as the hills.

Using a serverless model with AWS Lambda, API Gateway, and DynamoDB, her team was able to deploy a system that remained available 99.99% of the time—even during daily surges in usage. Her team ...

In the 1970s, her focus was on abstracting data in a way that prefigured object-oriented programming languages such as C++ and Java. Her CLU language, with a name derived from the clusters of data ...

The Michigan Tech Advantage The Michigan Tech Data Science MS provides a broad-based education in data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and ...

Faculty members in the department are actively engaged in research in the areas listed below. There are many opportunities for both undergraduate and graduate students to participate in these ...

The course covers principles of distributed processing systems for big data, including distributed file systems (such as Hadoop); distributed computation models (such as MapReduce); resilient ...