Luckily this is a mostly solved problem. When you implement a distributed computing environment, you have to run with one location or “node” in charge, or in a fully distributed and “masterless” ...

Software as a service. Cloud Computing (e.g. Amazon EC2, Google Compute Engine). Big data programming models: map-reduce, distributed databases, software for implementing streaming and sketching ...

A: Very early in my days, I was interested in processing large sets of data and building distributed systems. I saw Big Data and Cloud technologies tackle complex business problems.

CockroachDB 25.2 offers one potential option, raising the performance and efficiency of distributed SQL to meet the data challenges of agentic AI.

A 2024 Rand report also found that inadequate data infrastructure is a major factor in AI projects failing. In today’s digital economy, data isn’t just fuel—it’s the foundation.

Hybrid cloud-edge architectures enhance smart manufacturing by optimizing latency and scalability, integrating IIoT for ...

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 ...

Let’s look at how AI is taxing data centres. AI’s rapid growth is a result of complex algorithms and models that consume significant computing power and energy.