The sheer volume of ‘Big Data’ produced today by various sectors is beginning to overwhelm even the extremely efficient computational techniques developed to sift through all that information. But a ...

This course is available on the MPA in Data Science for Public Policy, MSc in Applied Social Data Science, MSc in Data Science, MSc in Econometrics and Mathematical Economics, MSc in Geographic Data ...

Chandrashekar Pandugula is a Senior Data Engineer with over nine years of experience, specializing in Cloud Computing, Healthcare, and advanced technologies such as AI, ...

The highly centralized enterprise data center is becoming a thing of the past, as organizations must embrace a more distributed model to deal with everything from content management to big data. Here ...

The difference between distributed computing and concurrent programming is a common area of confusion as there is a significant amount of overlap between the two when you set out to accomplish ...

Data storage is inexpensive—you can store a terabyte of data on a disk costing $50 or less. But reading that disk end-to-end could take six hours, according to Matei Zaharia, an assistant ...

IBM just launched a Smarter Computing Initiative designed to help its customers use Big Data processing and storage techniques. It was a large announcement containing many disk and tape storage ...

What are the key features of distributed systems? Distributed systems are used in many applications, including social networking platforms, cloud computing and online retail. The distinctive ...

Since many Big Data processes must be automated by necessity, this same functionality must extend to multiple data centers, as well. Snowflake Computing recently added new resilience and ...

ST446 Half Unit Distributed Computing for Big Data This information is for the 2022/23 session. Teacher responsible ...